Orchestration Services for Distributed Multimedia Synchronization
开源云平台和OpenStack介绍
源码
完全开源
完全开源
完全开源
完全开源
开发模式 Internet公开 Internet公开 Internet公开 Internet公开
开发约束 Apache v2.0 Apache v2.0 GPL v3.0
Apache v2.0
管理模式 基金会
技术精英
仁慈的独裁者 仁慈的独裁者
API生态系统 OpenStack API Amazon API Amazon API Amazon API
More complex to set up. Compute nodes typically need IP addresses accessible by external networks. Options must be carefully configured for live migration to work with networking services.
OpenStack与其它开源技术 消息队列 数据库 Web服务器 HA
操作系统
corosync
Openstack支持的Hypervisor
https:///wiki/HypervisorSupportMatrix
OpenStack安装 官方推荐安装的Linux发行版
产品可用性
需要定制开发 企业级,由社 企业级,由社 企业级,由社
或者由厂家支 区开发者直接 区开发者直接 区开发者直接
持
支持
支持
支持
主要开发语言 Python
Java&Python Java&C/C++ Ruby
社区活跃度
社区人员总数
活跃社区人数
OpenStack介绍
自动化运维英译
自动化运维英译Title: Introduction to Automated Operations and Maintenance Introduction:Automated operations and maintenance, also known as automated O&M, is a method of managing and maintaining IT systems and infrastructure through the use of advanced technologies and tools. By applying automation to various aspects of operations and maintenance processes, organizations can streamline their workflows, improve efficiency, and reduce human errors. This article will provide an overview of automated O&M, its benefits, key technologies involved, and its impact on the industry.I. The Need for Automated Operations and Maintenance:In today's fast-paced and complex IT environment, traditional manual operations and maintenance methods are no longer sufficient to handle the increasing scale and complexity of systems. The need for automated O&M arises from several challenges, such as:1. Scalability: As businesses grow, the number of systems, applications, and devices to manage also increases exponentially. Manual processes struggle to keep up withthe scale, leading to delays, errors, and inefficiencies.2. Complexity: Modern IT infrastructures are highly complex, consisting of a mix of physical and virtual components, distributed systems, and interconnected networks. Manually managing these complex environments without automation is time-consuming and error-prone.3. Time and Cost Constraints: Manual operations and maintenance require significant human resources, time, and effort. By automating repetitive and routine tasks, organizations can free up resources to focus on more strategic initiatives.II. Benefits of Automated Operations and Maintenance: Automated O&M brings numerous benefits to organizations, including:1. Increased Efficiency: Automation eliminates manual intervention in routine tasks, reducing the time and effort required. This leads to faster response times, improved service delivery, and enhanced overall operational efficiency.2. Improved Accuracy: Automation minimizes the risk ofhuman errors, ensuring consistent and reliable operations. By standardizing processes, organizations can achieve higher levels of accuracy and quality in their operations. 3. Enhanced Scalability: Automation enables organizations to scale their operations seamlessly without increasing their workforce proportionately. This flexibility allows businesses to adapt quickly to changing demands and handle larger workloads.4. Proactive Maintenance: Automated monitoring and alerting systems enable proactive detection of issues and potential failures. This proactive approach helps prevent system downtime, minimize disruptions, and improve system availability.III. Key Technologies in Automated Operations and Maintenance:Several technologies play a crucial role in enabling automated O&M. These include:1. Configuration Management: Configuration management tools automate the management of software configurations, ensuring consistency across systems and reducing the riskof misconfigurations.2. Orchestration: Orchestration tools automate the coordination and execution of complex workflows involving multiple systems and components. This technology enables seamless integration and interaction between various IT resources.3. Monitoring and Analytics: Automated monitoring systems continuously collect data from various sources, allowing organizations to identify performance issues, detect anomalies, and take proactive measures to prevent failures.4. Incident Management: Incident management tools automate the handling of incidents, from ticket creation to resolution. By automating incident management processes, organizations can reduce response and resolution times, improving service levels.IV. Impact of Automated Operations and Maintenance on the Industry:Automated O&M has a profound impact on the IT industry, transforming the way organizations manage their systems and infrastructure. Some notable impacts include:1. Increased Productivity: By automating repetitive and time-consuming tasks, organizations can optimize their resource utilization and increase productivity. This allows IT teams to focus on more strategic initiatives and innovation.2. Improved Service Quality: Automation reduces the risk of errors and improves accuracy, leading to higher service quality and customer satisfaction. Organizations can deliver services faster and with fewer disruptions, enhancing their reputation.3. Cost Savings: Automated O&M reduces the need for a large workforce dedicated to manual operations and maintenance. This leads to cost savings in terms of human resources, time, and effort.4. Agility and Flexibility: Automation enables organizations to respond quickly to changing business needs and market demands. By automating processes, organizations can adapt and scale their operations more efficiently. Conclusion:Automated operations and maintenance is a critical approachfor organizations to effectively manage and maintain their IT systems and infrastructure. By leveraging automation technologies, organizations can achieve increased efficiency, improved accuracy, enhanced scalability, and proactive maintenance. As the industry continues to evolve, automated O&M will play an increasingly vital role in driving productivity, service quality, and cost savings.。
Fortinet、FortiGate、FortiAnalyzer和VMWare NSX的联合解决方案
Automated Provisioning and Orchestration via VMWare NSX In VMware NSX-enabled data centers, FortiGate-VMX deployments are fully automated to address elastic workloads and constantly changing (e.g., resizing) ESXi clusters. Policy is dynamically synchronized with all FortiGate-VMX instances in the complete security cluster. The solution supports re-balancing of workloads in the ever-changing environment (e.g., support for vMotion and full DRS clusters).The NSX distributed firewall is a stateful firewall that runs in the kernel and does L2-L4 traffic filtering. NSX enables policy to be applied at the vNIC or virtual layer and intercepts traffic at the hypervisor level, not allowing any workload to by-pass inspection. The NSX firewall steers traffic selectively to FortiGate-VMX based on policy for advanced traffic inspection.Persistent Security Utilizing VMWare NSX Microsegmentation IVMware NSX provides inherent network isolation and a “honeycomb” of trust zones to make microsegmentation easier than ever before. IT administrators can describe the service functions and workload characteristics to designate proper security policies for app, web, or data tiers by asking questions like “What will this workload be used for?” “Who can access the workload?” “What is the data sensitivity zoning for each workload?” Microsegmentation merges these characteristics to define inherited policy attributes as they are added to the security cluster, without the need to configure firewall rules and complex access control policies.This granular and layered approach to security policy filtering and mapping workload characteristics allows administrators to segment a single policy into sub-policies and create a network segment to apply security rules. It also providesthe east-west inter-VM traffic visibility in the SDDC or private cloud.Secure VXLan Segments with Advanced Protection Across Tiers To enable communication between web, app, and data tiers, VMware utilizes the logical routing function in NSX to create a single logical router instance across distributed switches. In the NSX-enabled security cluster, the distributed firewall (DFW) module redirects traffic to a FortiGate-VMX firewall for threat inspection. Security policies defined in the FortiGate-VMX Service Manager areenforced based on workload segments.FASTSECURE GLOBAL n Improved performance sitting between hypervisor & workloadn Faster deploymentthrough NSX automation n Rich, consistent featureset from common OS across all FortiGate platforms n Security Function Virtualization, multi-tenancy using VDOMs n Best-in-class security effectiveness as recommended by NSS Labs, VB100, etc.n Real-time updates fromFortiGuard LabsMulti-Tenancy Using Virtual DomainsWith Fortinet’s patented Virtual Domain (VDOM) Technology, FortiGate-VMX Service Manager supports the use of multiple VDOMs to allow for effective segmentation between tenants while allowing each tenant complete administrative autonomy over their segment. Fortinet’s virtual portfolio is the only virtual security solution today to support this.Tenant Function Segmentation with Virtual DomainsUsing VDOMs, enterprises are able to apply more effective security policies by segmenting them across both separate departments and application types. This allows the administrator to apply targeted policies tailored to each domain while improving the overall performance of the system. This also provides for unmatched visibility across the network. Security Orchestration and Automated Provisioning with VMWare NSXThe VMware NSX network virtualization platform provides a distributed service framework to enable partner services like FortiGate-VMX to be dynamically inserted, deployed, and orchestrated. NSX enables full automation of FortiGate-VMXinside the data center perimeter.There are two main components in the solution:n FortiGate-VMX Service Manager not only registers the security service definitions with NSX, but centralizes licensemanagement and configuration synchronization with all FortiGate-VMX Security Node instances.n Fortinet FortiGate-VMX Security Node processes runtime traffic and enforces policy.Fortinet FortiAnalyzer (optional) for network security logging, analysis, and reporting securely aggregates log data fromthe Fortinet FortiGate-VMX security solution.FortiGate-VMX Service Manager communicates directly with the NSX environment. It registers the FortiGate-VMX security service to allow for enablement and auto-deployment of required FortiGate-VMX Security Nodes. The management plane flow is two-way in that the FG-VMX Service Manager supplies service definitions to the NSX Manager, while the NSX Manager sends updates to the FortiGate-VMX Service Manager about new or updated dynamic security groups and objects, upon which policy is based in real-time.FortiGate-VMX Service Manager obtains proactive security threat updates from FortiGuard and synchronizes those updatesto all FortiGate-VMX Security Nodes.SummaryFortiGate-VMX Service Manager communicates directly with the NSX environment. It registers the FortiGate-VMX security service to allow for enablement and auto-deployment of required FortiGate-VMX Security Nodes. The management plane flow is two-way in that the FG-VMX Service Manager supplies service definitions to the NSX Manager, while the NSX Manager sends updates to the FortiGate-VMX Service Manager about new or updated dynamic security groups and objects, upon which policy is based in real-time.FortiGate-VMX Service Manager obtains proactive security threat updates from FortiGuard and synchronizes those updates to all FortiGate-VMX Security Nodes. Copyright © 2021 Fortinet, Inc. All rights reserved. Fortinet, FortiGate, FortiCare and FortiGuard, and certain other marks are registered trademarks of Fortinet, Inc., and other Fortinet names herein may also be registered and/or common law trademarks of Fortinet. All other product or company names may be trademarks of their respective owners. Performance and other metrics contained herein were attained in internal lab tests under ideal conditions, and actual performance and other results may vary. Network variables, different network environments and other conditions may affect performance results. Nothing herein represents any binding commitment by Fortinet, and Fortinet disclaims all warranties, whether express or implied, except to the extent Fortinet enters a binding written contract, signed by Fortinet’s General Counsel, with a purchaser that expressly warrants that the identified product will perform according to certain expressly-identified performance metrics and, in such event, only the specific performance metrics expressly identified in such binding written contract shall be binding on Fortinet. For absolute clarity, any such warranty will be limited to performance in the same ideal conditions as in Fortinet’s internal lab tests. Fortinet disclaims in full any covenants, representations, and guarantees pursuant hereto, whether express or implied. Fortinet reserves the right to change, modify, transfer, or otherwise revise this publication without notice, and the most current version of the publication shall be applicable.June 23, 2021 9:54 AM。
英文微服务参考文献
英文微服务参考文献English Microservices Reference LiteratureMicroservices have become a widely adopted architectural style in the development of modern software systems. This approach to software design emphasizes the decomposition of a large application into smaller, independent services that communicate with each other through well-defined interfaces. The concept of microservices has gained significant traction in the industry due to its ability to address the challenges posed by monolithic architectures, such as scalability, flexibility, and maintainability.The microservices architectural style has its roots in the principles of service-oriented architecture (SOA) and the idea of breaking down complex systems into more manageable components. However, microservices take this concept further by emphasizing the autonomy and independence of each service, as well as the use of lightweight communication protocols and the adoption of a decentralized approach to data management.One of the key benefits of microservices is the ability to scale individual services independently, allowing for more efficientresource utilization and the ability to handle increased traffic or workloads in specific areas of the application. This scalability is achieved through the deployment of individual services on separate infrastructure resources, such as virtual machines or containers, and the use of load-balancing mechanisms to distribute the workload across these resources.Another advantage of microservices is the increased flexibility and agility in software development. With each service being independent and loosely coupled, teams can work on different services concurrently, using different programming languages, frameworks, and deployment strategies. This allows for a more rapid and iterative development process, where new features or improvements can be introduced without disrupting the entire application.Maintainability is another significant benefit of the microservices architecture. By breaking down a large application into smaller, independent services, the codebase becomes more manageable, and the impact of changes or updates is localized to individual services. This reduces the risk of unintended consequences and makes it easier to identify and address issues within the system.However, the adoption of microservices also introduces new challenges and complexities. The need for effective communicationand coordination between services, the management of distributed data, and the complexity of monitoring and troubleshooting a distributed system are just a few of the challenges that organizations must address when implementing a microservices architecture.To address these challenges, a variety of tools and technologies have been developed to support the development, deployment, and management of microservices. These include service discovery mechanisms, API gateways, message brokers, distributed tracing systems, and container orchestration platforms, among others.One of the most prominent examples of a microservices-based architecture is the Netflix platform. Netflix has been a pioneer in the adoption of microservices, using this approach to build a highly scalable and resilient streaming platform that can handle millions of concurrent users. Netflix has also contributed significantly to the open-source community by releasing several tools and frameworks that facilitate the development and management of microservices, such as Eureka (a service discovery tool), Hystrix (a circuit breaker library), and Zuul (an API gateway).Another well-known example of a microservices-based architecture is the PayPal platform. PayPal has leveraged the microservices approach to modernize its legacy systems and improve the agility and scalability of its payment processing services. By breaking downits monolithic application into smaller, independent services, PayPal has been able to respond more quickly to changing market demands and customer needs.The adoption of microservices has also been prevalent in the e-commerce industry, where companies like Amazon and eBay have used this architectural style to build highly scalable and resilient platforms that can handle large volumes of transactions and user traffic.In the healthcare sector, microservices have been used to build integrated patient management systems that bring together various clinical and administrative services, such as appointment scheduling, medical records management, and billing. This approach has enabled healthcare providers to more easily integrate new technologies and services into their existing systems, improving the overall quality of patient care.The financial services industry has also embraced the microservices architecture, with banks and fintech companies using this approach to build flexible and scalable platforms for managing various financial products and services, such as lending, investment, and insurance.As the adoption of microservices continues to grow, the need forcomprehensive reference literature on the subject has also increased. Numerous books, articles, and online resources have been published to provide guidance and best practices for the design, implementation, and management of microservices-based systems.Some of the key areas covered in the microservices reference literature include:1. Architectural Patterns and Design Principles: Discussions on the fundamental principles and patterns that underpin the microservices architecture, such as the use of bounded contexts, event-driven communication, and the Strangler Fig pattern.2. Communication and Integration: Exploration of the various communication protocols and integration patterns used in microservices, including REST APIs, message queues, and event-driven architectures.3. Deployment and Orchestration: Examination of the tools and techniques used for the deployment and management of microservices, such as container technologies (e.g., Docker), orchestration platforms (e.g., Kubernetes), and continuous integration/continuous deployment (CI/CD) pipelines.4. Resilience and Fault Tolerance: Strategies for building resilient andfault-tolerant microservices, including the use of circuit breakers, retries, and fallbacks, as well as the implementation of distributed tracing and monitoring systems.5. Scalability and Performance: Discussions on the approaches to scaling microservices, such as horizontal scaling, load balancing, and the use of caching and asynchronous processing techniques.6. Data Management: Exploration of the challenges and best practices for managing data in a distributed microservices architecture, including the use of event sourcing, CQRS (Command Query Responsibility Segregation), and polyglot persistence.7. Security and Governance: Examination of the security considerations and governance models for microservices, such as authentication, authorization, and the management of API versioning and deprecation.8. Observability and Monitoring: Discussions on the tools and techniques used for monitoring and troubleshooting microservices-based systems, including distributed tracing, log aggregation, and metrics collection.9. Testing and Debugging: Exploration of the approaches to testing and debugging microservices, including the use of contract testing,consumer-driven contracts, and chaos engineering.10. Organizational and Cultural Considerations: Examination of the organizational and cultural changes required to support the successful adoption of a microservices architecture, such as the shift towards cross-functional teams, DevOps practices, and a culture of continuous improvement.The microservices reference literature provides a comprehensive guide for software architects, developers, and operations teams who are looking to design, implement, and manage microservices-based systems. By drawing on the collective experience and best practices of the industry, this literature helps organizations navigate the complexities and challenges associated with the adoption of a microservices architecture, ultimately enabling them to build more scalable, flexible, and resilient software systems.。
soa p sample 46题
soa p sample 46题SOA (Service-Oriented Architecture) and its benefitsIntroductionService-Oriented Architecture (SOA) is an architectural style that involves the use of services to support the development of distributed applications. It provides a way to design and implement systems that are modular, reusable, and scalable. This article will explore the benefits of SOA and how it can be applied to address the requirements outlined in the task description.Benefits of SOA1. Loose coupling: SOA promotes loose coupling between services, which means that services can evolve independently without affecting other parts of the system. This allows for better modularization and flexibility in making changes or introducing new services.2. Reusability: Services in SOA are designed to be reusable components that can be used by multiple applications or systems. This reduces development effort by leveraging existing services and also improves the consistency and quality of the implemented functionality.3. Scalability: With SOA, individual services can be scaled independently based on their specific requirements. This allows for better resource allocation and improved performance of the overall system.4. Interoperability: SOA promotes the use of open standards and protocols, enabling interoperability between different platforms and technologies. This allows for seamless integration of various services regardless of the underlying implementation details.5. Service discovery and composition: SOA provides mechanisms for service discovery, enabling applications to find and use the available services. Additionally, itenables the composition of services to create more complex applications by combining existing services.Addressing the requirements of the taskThe task description mentions the need to create a sample SOA-based application. To address this requirement, we can follow the following steps:1. Identify the application domain: Choose a specific domain for the application, such as e-commerce, healthcare, or finance. This will give a clear focus and purpose to the application.2. Determine the required services: Identify the services that are needed to support the application functionality. For example, an e-commerce application may require services such as product catalog, shopping cart, and payment processing.3. Design the service contracts: Create the service contracts that define the input and output messages for each service. This ensures that the services can communicate effectively with each other.4. Implement the services: Develop the individual services based on the defined contracts. Each service should be self-contained and provide a specific functionality.5. Test and validate the services: Test the services to ensure that they are functioning correctly and meet the desired requirements. This can include both functional and non-functional testing.6. Enable service discovery: Implement a mechanism for service discovery, such as a service registry or a messaging system that allows services to advertise their availability.7. Compose the services: Use the available services to create the desired application functionality by composing them together. This can involve chaining multiple services or creating orchestration flows.ConclusionSOA provides numerous benefits for building distributed applications, including loose coupling, reusability, scalability, interoperability, and service discovery. By following the steps outlined above, it is possible to create a sample SOA-based application that meets the requirements specified in the task description. Implementing SOA principles can lead to more modular, flexible, and maintainable systems, which can greatly benefit organizations in today's dynamic and evolving business landscape.。
GDCA认证考试
GDCA认证考试1. 日志恢复技术保证了事务的()?A. 一致性B. 隔离性C. 原子性D. 持久性2. 下列不属于字符串类型的是?A. CHARB. VARCHARC. MEDIUMTEXTD. TINYINT3. ()是MySQL的物理日志,也叫重做日志,记录存储引擎InnoDB(特有)的事务日志?A. errorlogB. redologC. binlogD. warnninglog4. ()指用户的应用程序与数据库中数据的物理存储是相互独立的。
当数据的物理存储改变了,应用程序不用改变。
A. 物理独立性B. 数据独立性C. 应用程序独立性D. 逻辑独立性5. 关于传统集中式架构数据库,哪种说法不正确?A. 方便简单B. 系统成熟稳定C. 管理成本低D. 灵活性大6. GoldenDB金融分布式数据库在哪一年立项?A. 2002B. 2011C. 2014D. 20197. GoldenDB同城RTO可达到?A. 0秒B.小于30秒C. 小于3分钟D. 小于30分钟8. 针对部分节点事务失败的问题,GoldenDB的解决方案是?A. 引入多个计算节点B. 引入全局回滚机制C. 引入一主多备机制D. 引入快同步机制9. GoldenDB数据备份如何实现全局一致状性?A.支持同步备份全局状态信息B. 支持全量备份和增量备份C. 支持任务可视化 D. 支持备份策略灵活可配10. 以下哪条命令可以查看端口是否占用?A. df-hB. free-hC. lsof-i:80D. pkill-9-uzxdb111. 一键安装标准安装的ini配置文件?A. install_senior.iniB. install_fast.iniC. install_advance.iniD. install_triple.ini12. 以下关于一键安装说法正确的是?A. C模块组件均支持容器化安装B. 一键安装时可选择同步创建MPP集群C.License未更新为企业版,仍可以一键安装多分片集群 D. 若一键安装互信步骤未完成,则无法登陆insight界面使用Goldendb产品服务13. 修改哪个文件回到特定步骤开始执行?A. install.txtB. install_fast.iniC. install_step_000000.txtD. install_senior.ini14. 混合部署需要提前执行的命令?A. shsetup.sh-uB. shsetup.sh-cC. shsetup.sh-aD. shsetup.sh-m15. 下列选项,对于表分布规则的描述正确的是?A. GoldenDB仅支持以下分片规则:hash、range、list、duplicateB. GoldenDB支持横向分片,不支持纵向的分区 C. GoldenDB采用一致性hash算法 D. GoldenDB 分片规则只能基于一个表字段16. 下列选项不属于多级分片表优点的是?A. 精确控制数据分布形态B. 操作简单C. 提升批处理访问性能D. 数据物理隔离17. 分片路由功能是下列哪个组件实现的?A. 管理节点B. 数据节点C. 计算节点D. GTM节点18. 关于GoldenDB分布式数据库备份说法错误的是?A. 支持实时和定时备份B. 支持备份指定机房C. 选择备份指定节点后,系统无法自动选择备份其它节点 D. 定时备份任务调整后当天的备份计划不生效19. 不属于GoldenDB分布式数据库租户扩缩容的是?A. CN节点扩缩容B. 管理节点扩缩容C. DN节点扩缩容D. GTM节点扩缩容20. 某集群有1个分片,该分片有3个Team,每个Team包含3个db,主db 在Team2中,该分片水位配置为高水位3、低水位2、主数据节点计数,Team 内DN响应数设置为2。
D8.1_Information Flyer
Internet-of-Things ArchitectureIoT-AProject DeliverableD8.1 – Information FlyerProject acronym: IOT-AProject full title: The Internet-of-Things ArchitectureGrant agreement no.: 257521Doc. Ref.:Responsible Beneficiary : VDI/VDE Innovation + Technik GmbHEditor(s): Sebastian LangeList of contributors: Laure Quintin, Anita TheelPicture credits SAP, Fraunhofer IML, VDI/VDE-IT. NXP Reviewers: Alexander BassiContractual Delivery Date: M3Actual Delivery Date:Status: (Final)Version and date Changes Reviewers / Editorsv1_100923 First version Sebastian Lange Project co-funded by the European Commission within the Seventh Framework Programme (2007-2013)PU PP RE CO Dissemination LevelPublicRestricted to other programme participants (including the Commission Services)Restricted to a group specified by the Consortium (including the Commission Services)Confidential, only for members of the Consortium (including the Commission Services)XExecutive SummaryThe Information Flyer on the IoT-A project is providing comprehensive and at the same time concise information on the project for the wider public audience and the Internet–of–Things community at large.Table of ContentExecutive Summary................................................................................................- 1 -Table of Content.....................................................................................................- 2 -Content of the information flyer.............................................................................- 3 -Content of the information flyerThe two-page A4-flyer combines the properties of a printed media with a web-site-style look.In the header reference is made to the 7th Framework Programme and the EU next to the projects’ logo.The flyer is structured for information on visions of the future and information on how IoT-A is to contribute to these future scenarios.Visions of the future are given in five examples:smart Homeintelligent Transportproductive Business environmentefficient Logistics and Retail environmentsafe Health-MonitoringFollowed by a more detailed project description, focussing on the:Technological ChallengesProject OutlineMain ObjectivesStakeholder Group (with a brief introduction)Finally, Project Facts and logos of the project participants are displayed.IoT-A, the European FP7 flagship project to establish and to evolve a fede-rating architectural reference m o del for the Future Internet of ThingsTechnological ChallengesIn order to realise the vision pictured above, many technological steps need to be tackled. Advancement in miniaturisation, energy harvesting, and the integration of computing and communication elements into non-standard substrates will enable the implemen-tation of most science-fiction visions we may have today, but the absence of a uniform and coherent architecture will greatly threa-ten the Internet of Things (IoT) development. Therefore, we belie-ve that a first step towards realising this vision is the development of an open architectural reference model, providing guidance for the technical decisions required to design and standardise proto-cols and algorithms that the envisioned IoT will be based on. This be informed by a thorough understanding of requirements on the IoT. While many of these requirements still need to be determined in detail some are already known. Unlike existing technology in the above application areas, it should deeply embed privacy and security in its foundations, as the personal integrity of its users and the integrity of the infrastructure itself needs to be guaranteed. It should also enable scalable communication and management of its devices, as the expected number of IoT devices at the network edges will exceed the currently existing ones by orders of magni-tude.The IoT also has to be interoperable at the communication layer in order to support the co-existence of a variety of existing and emerging communication technologies. Interoperability needs also Asmart Home where noenergy is wasted, wherelighting is efficient, whereinteractive walls are able to display useful information, as well as pictures or art, videos of far-away friends orrelatives; a home environment that suits ones needs, whether one is reading a book or watching a movie; where all household appliances talk to each other and help solving problems, instead of creating new ones.An intelligent Transport system where publictransport and traffic flow is seamless, where privateand public vehicles interact, choose the best path avoiding congestion and preservingthe environment, and where multimodal transport is smooth and easy; where parking is not a problem any longer and where alternative means of transport are conve-nient.Aproductive Business en-vironment where officesbecome smart and interactive and where factories relay pro-duction related data in real-time; where remote face-toface meetings are established through holograms, where documents are no longer just paper, but are fully integrated in the work flow and can be traced and automatically linked with additional onlineinformation.An efficient Logistics and Retail environmentwhere safety and environmen-tal concerns are ubiquitously embedded in all the processes; where consumers are sup-ported to have a healthy and convenient shopping expe-rience; where traceability of products is a given standardwith access to all relevant product information including quality and sustainability measures.Asafe Health-Monitoring system, always connected,making use of non-intrusivetechniques such as sweat and breath analysis, preventing se-rious illnesses by adapting the environment and by selecting appropriate drugs and diet; where fitness is tailored to one‘s needs automatically in order to achieve the desired target without injuries and inaccordance with one‘s moodand environment.V ISIONS OF THE FUTUREI O T-A WILL BE LAYING THE FOUNDATIONS FOR SUCH A FUTUREinto the service layer of the Future Internet. Pursuing this ap-proach IoT-A will also ensure that knowledge generated by the IoT will be modular and re-usable across domain-specific boundaries.Project OutlineIoT-A proposes the creation of an architectural reference model together with the definition of an initial set of key building blocks, which we envision as the crucial foundation to grow a future Internet of Things organically based on our past experience in developing the Internet and Web 2.0 applications.Using an experimental paradigm, IoT-A will combine top down reasoning about architectural principles and design guidelines with simulation and prototyping work to explore the technical consequences of architectural design choices.Main Objectivess¬To provide an architectural reference model for the interope-rability of IoT systems, outlining principles and guidelines for the technical design of its protocols, interfaces and algo-rithms.s¬To assess existing IoT protocol suits and derive mechanisms to achieve end-to-end interoperability for seamless communica-tion between IoT devices.s¬To develop modelling tools and a description language for goal-oriented IoT aware (business) process interactions allowing expression of their dependencies for a variety of deployment models. s¬To derive adaptive mechanisms for distributed orchestration of IoT resource interactions exposing self-* properties in order to deal with the complex dynamics of real world environ-ments.s¬To holistically embed effective and efficient security and privacy mechanisms into IoT devices and the protocols and services they utilise s¬To develop a novel resolution infrastructure for the IoTallowing scalable look up and discovery of IoT resources, enti-ties of the real world and their associations.s¬To develop IoT device platform components including device hardware and run-time environments¬To validate the architectural reference model against the deri-ved requirements and by implementation of real life use cases that demonstrate the benefits of the developed solutions.s¬To contribute to the dissemination and exploitation of the developed architectural foundations.Stakeholder Group - How to become involved?IoT-A has established a stakeholder group that is involved in the definition of requirements for the architectural reference model as well as in the validation of the initial and updated versions of proposed architectures.If you are interested in becoming a IoT-A stakeholder please apply at:www.iot-a.eu/stakeholderApplicants will be informed upon selection.I O T-A P ARTNERSProject FactsProject Duration: 1.09.2010 - 31.08.2013 (3 years)Project EC Contribution: 12 Mio. EURConsortium: 19 Partners from 8 European countries Project Officer: Manuel Mateo, European Commission Project Coordinator: Dr. Sebastian Lange, VDI/VDE-IT Technical Coordinator: Dr. Alessandro Bassi, HitachiDeputy Tech. Coordinator: Dr. Alexander Gluhak, Uni Surrey Contact: info@iot-a.euwww.iot-a.eu。
华为云产品全系列介绍
华为云产品清单更新日期:2023年2月28日计算1.1裸金属服务器BMS裸金属服务器(Bare Metal Server)为您和您的企业提供专属的云上物理服务器,具备传统物理服务器高性能的同时,兼具云上高安全可靠、灵活快速发放等特点,助力企业在数据库、大数据、容器、高性能计算、AI等场景关键业务云上创新1.2GPU加速云服务器GACSGPU加速云服务器(GPU Accelerated Cloud Server, GACS)能够提供优秀的浮点计算能力,从容应对高实时、高并发的海量计算场景。
P系列适合于深度学习,科学计算,CAE等;G系列适合于3D动画渲染,CAD等1.3FPGA加速云服务器FACSFPGA加速云服务器(FPGA Accelerated Cloud Server, FACS)提供FPGA开发和使用的工具及环境,让用户方便地开发FPGA加速器和部署基于FPGA加速的业务,为您提供易用、经济、敏捷和安全的FPGA云服务1.4云耀云服务器HECS云耀云服务器(Hyper Elastic Cloud Server)是一种可以快速搭建且易于管理的新一代云服务器,提供从1核1G到8核32G的套餐并匹以相对的磁盘空间和公有云带宽,助力中小企业便捷高效的在云端构建电商网站、Web应用、小程序、APP和各类开发测试、学习环境,相比普通云服务器更加简单易用(3步即可完成购买),提供极简上云体验。
1.5弹性云服务器ECS弹性云服务器(Elastic Cloud Server, ECS)是一种云上可随时自助获取、可弹性伸缩的计算服务,可帮助您打造安全、可靠、灵活、高效的应用环境。
1.6弹性伸缩AS弹性伸缩(Auto Scaling, AS)可根据用户的业务需求和预设策略,自动调整计算资源的管理服务。
灵活的使用弹性伸缩可计算资源供应量随业务负载而变化,经济、便捷的保证业务平稳、健康运行。
1.7镜像服务IMS镜像是用于创建服务器或磁盘的模板。
一种基于图聚类的Web服务组合分布式运行方法
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计算机研究与发展
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摘 要 针对数据流约束的应用环境, Web e 平台工具支撑下, 在 j t 采取集中式方式对 We 服务进行组 b 合 , We 服务组合采用图聚类方法划分成分布式代码片段 , 将 b 然后采取分布式方式运行服务组合的技 术路线. 在满足簇( 划分) 之间数据流量最小化及分布式系统吞吐量最大化的目标约束下, 运用图聚类 的多级算法划分We 服务组合。 b 实例分析说明, 该算法能自动、 快速地将集中式 BPEL 程序划分为分布 式的 BPEL 程序, 并对 BPEL 程序迁移到的分布式节点之间的负载进行均衡调整, 使分布式运行系统达
21 SQFD:基于QFD的服务质量评价
SEM (Component)
Service Component Performance
design Service Component optimization
服务科学概论 第五章 服务质量及其评价方法
21.2 基于QFD的服务质量设计
21 SQFD: 基于QFD的服务质量评价
服务级别协议 Service Level Agreement (SLA)
21 SQFD: 基于QFD的服务质量评价
SMDA中的服务质量方法
根据评价结果,找出差距,然后逐层向上反馈
SRM Performance
SRM (System)
SBCM Performance
Expected Service Quality SEM Performance
SBCM (System)
QFD 2 SRM SBCM
QFD 3 SBCM SEM
21 SQFD: 基于QFD的服务质量评价
SQFD 1: VoC SRM
Parameters of Customer Expectations (VOC)
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Parameters of Service System Quality/Performance (External Features)
服务需求获取
统一服务 建模语言USML
服务需求模型 SRM 服务设计
服务行为与 能力模型SBCM 服务建模过程 Build time 面向顾客的按需服务 (ODS)评价 服务构件选择
服务执行模型 SEM 映射
• Choreography • Orchestration • Service components • Distributed services
replicatedmergetree+distributed的集群模式
replicatedmergetree+distributed的集群模式1. 引言1.1 概述在当今信息化时代,数据的处理和管理成为了各个行业的重要任务。
随着数据量不断增长,传统的单机方式已经无法满足海量数据的处理需求。
因此,分布式系统逐渐成为了解决大规模数据处理和存储的有效方法。
本文将主要介绍ReplicatedMergeTree算法与Distributed集群模式相结合的集群架构。
ReplicatedMergeTree是一种可靠存储引擎,可以实现高效地对分布式数据进行复制、归并和同步。
而Distributed则是一个基于分片和副本机制的弹性伸缩的分布式数据库系统。
1.2 文章结构本文将依次介绍ReplicatedMergeTree算法以及其原理、数据同步策略和容错机制。
接下来将详细讨论Distributed集群模式,包括分布式架构介绍、集群规模与扩展性以及数据分发与负载均衡等方面内容。
然后将通过实现与应用案例来更加具体地说明集群部署和配置、数据一致性保证措施以及高可用性和故障恢复策略等关键问题。
最后通过总结研究成果和应用价值以及展望未来发展趋势和改进方向,对本文的研究进行归纳总结。
1.3 目的本文的目的是介绍ReplicatedMergeTree与Distributed集群模式相结合的集群架构,并说明其在大规模数据处理和存储领域中的应用价值。
通过深入分析算法原理、数据同步策略和容错机制,读者能够更好地理解ReplicatedMergeTree 算法。
同时,本文将详细讨论Distributed集群模式的架构特点、扩展性以及负载均衡等问题,读者可以了解分布式系统设计和管理的关键考虑因素。
通过实现与应用案例,读者将掌握集群部署和配置、数据一致性保证措施以及高可用性和故障恢复策略等关键技术,从而为日后的实际项目应用提供参考。
最后,通过对研究成果进行总结和展望未来发展趋势与改进方向,使读者在该领域内能够有所启示并有新的思考。
通信电信运营增值服务
A pervasive health monitoring service system based on ubiquitous network technology Original Research ArticleInternational Journal of Medical InformaticsA user-centric and context-aware solution to interface management and access network selection in heterogeneous wireless environments Original Research ArticleComputer NetworksAn effective vertical handoff scheme based on service management for ubiquitous computing Original Research ArticleComputer CommunicationsUK scenario of islanded operation of active distribution networks with renewable distributed generators Original Research ArticleRenewable EnergyNetwork-aware scheduling for real-time execution support in data-intensive optical Grids Original Research ArticleFuture Generation Computer Systems,Flexible and secure service discovery in ubiquitous computing Original Research ArticleJournal of Network and Computer ApplicationsA mobile agent platform for distributed network and systems management Original Research ArticleJournal of Systems and SoftwareDevelopment of Web-Telecom based hybrid services orchestration and execution middleware over convergence networks Original Research ArticleJournal of Network and Computer ApplicationsThe universal design, operation and maintenance guidelines for farm constructed wetlands (FCW) in temperate climates Original Research ArticleBioresource TechnologyHybrid Zigbee RFID sensor network for humanitarian logistics centre management Original Research ArticleJournal of Network and Computer ApplicationsStrategic relationships between boundary-spanning functions: Aligning customer relationship management with supplier relationship management Original Research ArticleIndustrial Marketing Management传感器网络、物联网及泛在网移动核心网/IP 网络能力电信产品协议,HTTP/SMPP/WAP/RADIUS,SOAP/XML/REST,SIP,RTSP等数据库知识,Oracle和MySQL开发Unix/Linux 操作系统编程能力JA VA, C++,页面技术等视频应用防火墙、NA T问题关键技术研究电信移动端到端应用系统设计端对端移动应用网络架构和方案设计移动应用开发沟通团队合作固定网络、移动网络、宽带接入、智能光网络、多媒体解决方案和网络应用全面通信解决方案Business-aware framework for supporting RFID-enabled applications in EPC Network Original Research ArticleJournal of Network and Computer ApplicationsHD/SHD still image database system and image distribution in broadband network applications Original Research ArticleComputers & Electrical EngineeringIntegration of third parties within existing dyads: An exploratory study of category management programs (CMPs)Original Research ArticleIndustrial Marketing Management,Partially controlled deployment strategies for wireless sensors Original Research ArticleAd Hoc NetworksProject portfolio management –There’s more to it than what management enacts Original Research ArticleInternational Journal of Project ManagementEfficient and stateless deployment of VoIP services Original Research Article Computer NetworksPervasive authentication and authorization infrastructures for mobile users Original Research ArticleComputers & SecurityA user-centric approach to service creation and delivery over next generation networks Original Research ArticleComputer CommunicationsAn efficient and robust name resolution protocol for dynamic MANETs Original Research ArticleAd Hoc NetworksDevelopment and application of an extensible engineering simulator for NPP DCS closed-loop test Original Research ArticleAnnals of Nuclear EnergyHuman-system interface based on speech recognition: application to a virtual nuclear power plant control desk Original Research ArticleProgress in Nuclear EnergyA semantic enriched data model for sensor network interoperability Original Research ArticleSimulation Modelling Practice and TheoryDesign and development of logistics workflow systems for demand management with RFID Original Research ArticleExpert Systems with ApplicationsIncorporating organizational factors into Probabilistic Risk Assessment (PRA) of complex socio-technical systems: A hybrid technique formalization Original Research ArticleReliability Engineering & System SafetyRisk management and post-marketing surveillance of CNS drugsDrug and Alcohol Dependence动社会信息化建设提供了电信级、端到端的通信集成和整体服务,在政府信息化、行业信息化(交通、能源、公共安全)、宽带接入、数据、固定交换、移动、光网络、IP和移动技术领域居领先地位,并引领3G、IMS、NGN、IPTV等成长性市场,全面支持3G三大技术标准,广泛的商用案例和丰富的实施经验,推动开发标准TD-SCDMA的产业化和市场化进程,电信行业最具经验和知识的服务合作伙伴、服务供应商,为企业和政府提供全面专业的服务支持。
工业互联网PaaS平台Predix技术介绍
建立在 Cloud Foundry
*
GE Confidential – Distribution authorized to individuals with need to know only
是一个领先的开源平台 由 Cloud Foundry 社区 发展, 现由 GE CF 道场 为 工业用例 继续发展
DevOps
*
GE Confidential – Distribution authorized to individuals with need to know only
What is it?
Benefits To Platform Subscribers
Tools and Processes that stress Communication, Collaboration (information sharing and web service usage), Integration, Automation, and Measurement of cooperation between Developers and its Operations
1 Engineering
3 Operations
5 Culture
4 Financials
DevOps CI / CD (continuous integration / continuous delivery) Paired programming (eXtreme programming)
DevOps Op Center BizOps (business operations)
Invent and simplify Be a minimalist Bias for action Cultivate a meritocracy Disagree and commit
研发效能领域100个术语
研发效能领域100个术语在研发效能领域,有许多专业术语用于描述各种概念、工具和实践。
以下是一些常见的100个术语:1. 研发效能(R&D Effectiveness):衡量研发团队在创新、质量和效率方面的表现。
2. 敏捷开发(Agile Development):一种灵活的软件开发方法,强调快速响应变化。
3. 持续集成(Continuous Integration):频繁地将代码合并到共享代码库,以减少集成问题。
4. 持续交付(Continuous Delivery):在持续集成的基础上,将软件以可部署的状态交付给最终用户。
5. 持续部署(Continuous Deployment):自动将经过验证的软件部署到生产环境。
6. 敏捷项目管理(Agile Project Management):采用敏捷方法的项目管理实践。
7. Scrum:一种敏捷开发框架,包括短周期迭代、产品负责人、Scrum Master和跨职能团队。
8. Kanban:一种可视化工作流管理方法,通过限制在制品数量来优化工作流程。
9. 极限编程(Extreme Programming):一种敏捷软件开发方法,强调简洁、沟通和反馈。
10. 特性驱动开发(Feature-Driven Development):一种敏捷方法,将大型项目分解为一系列较小的特性。
11. 测试驱动开发(Test-Driven Development):先编写测试代码,再编写满足测试的代码。
12. 自动化测试(Automated Testing):使用自动化工具执行测试用例。
13. 性能测试(Performance Testing):测试软件在不同负载下的性能表现。
14. 安全性测试(Security Testing):测试软件的安全漏洞和防护措施。
15. 代码审查(Code Review):同行评审代码,以提高代码质量和减少错误。
16. 静态代码分析(Static Code Analysis):使用工具分析代码,以发现潜在的缺陷和风格问题。
微服务的4个设计原则和19个解决方案
微服务的4个设计原则和19个解决方案微服务是一种架构风格,目的是将应用程序设计为一组小型服务,每个服务都可以独立部署、可独立扩展,并通过轻量级通信机制互相交互。
微服务架构具有许多设计原则和解决方案,其中包括四个重要的设计原则和19个常见的解决方案。
设计原则:1. 单一职责原则(Single Responsibility Principle):每个微服务应该只关注一个具体的业务功能,负责一个特定的功能领域,而不是一次实现所有功能。
单一职责原则有助于确保微服务的高内聚和低耦合,提高系统的可维护性和可扩展性。
2. 自包含性原则(Self-Contained Principle):每个微服务应该是一个独立的单位,包含所有必要的组件和资源,如数据库、配置文件等,以便可以独立部署和运行。
自包含性原则有助于降低微服务间的依赖性,提高系统的可靠性和可伸缩性。
3. 按业务边界划分原则(Bounded Context Principle):微服务应该根据业务需求进行划分,每个微服务都应该提供一组紧密相关的业务功能。
按业务边界划分原则有助于减少微服务间的交互,降低微服务的复杂性和维护成本。
4. 隔离性原则(Isolation Principle):微服务应该相互独立,任何一个微服务的故障和异常都不应该影响其他微服务的正常运行。
隔离性原则有助于提高系统的容错性和可用性。
解决方案:1. 服务注册与发现(Service Registration and Discovery):使用服务注册与发现机制来管理和发现微服务的位置和状态,实现微服务间的通信和协作。
2. 负载均衡(Load Balancing):使用负载均衡机制来分配请求到不同的微服务实例,提高系统的性能和可伸缩性。
3. 服务容错(Service Resilience):使用熔断、降级和限流等策略来处理微服务的故障和异常,提高系统的容错性和可用性。
4. 配置管理(Configuration Management):使用配置管理工具来管理微服务的配置信息,实现配置的动态更新和统一管理。
Mellanox Technologies ROBO 分布式 IT 基础设施说明书
The Nutanix Enterprise Cloud addresses these challenges with its invisible and cloud-native hyperconverged infrastructure. From a converged compute and storage system, the Nutanix enterprise cloud extends one-click simplicity and high availability to remote and branch offices. Streamlined and automated operations and self-healing from infrastructure anomalies, eliminate unnecessary onsite visits and overtime, thus reducing operational and support costs. With the Nutanix solution, enterprise IT staff can deploy and administer ROBO sites as if they were deployed to the public cloud, while maintaining control and security on their own terms.ROBO networking must be simple and transparent as well. Mellanox’s end-to-end Ethernet Storage Fabric™ (ESF) perfectly complements the Nutanix Enterprise Cloud. The Mellanox ESF offers Zero Touch Provisioning (ZTP), guaranteed performance, automated operation, and real-time network visibility at the virtual machine (VM) or container level, for business operations on Day 0/1/2. To provide a transparent, automated experience for application provisioning and mobility, data backup and disaster recovery, Mellanox’s ESF is integrated into the Nutanix enterprise cloud via the management plane. Through REST APIs, Mellanox’s network orchestration and management platform, Mellanox NEO ®, automates network provisioning from Nutanix Prism and eliminates complex and expensive manual configuration for numerous network devices in multiple clouds. Nutanix ROBO in a BoxWith its web-scale efficiency and enterprise-level resilience and security, Nutanix offers hyperconverged clusters for remote and branch offices. Providing options for one-node, two-node, and three-node clusters, the Nutanix solution for ROBO meets various requirements with respect to data protection, high availability, and cost-effectiveness.A three-node cluster is the gold standard for Nutanix ROBO, which provides on-site data protection and tolerates an entire node going down. Apart from that, self-healing with a data rebuild within the cluster eliminates needless trips to remote sites., while a two-node cluster offers reliability for smaller ROBO sites that must keep costs down. Beyond that, a remote witness node is used for data rebuild and automatic upgrades. Moreover, a one-node cluster is a perfect fit for low-availability requirements and strong management for multiple sites. Figure 1. Nutanix ROBO in a Box with Mellanox NetworkingGiven the small number of nodes in the Nutanix cluster and often rigid environmental requirements in space, power and airflow, Mellanox’s half-width top-of-rack (TOR) SN2010 switches are a perfect fit for Nutanix ROBO both in terms of connectivity and cost. Featuring 18 ports of 1/10/25G downlinks and 57 Watts of typical power consumption, two SN2010 switches can be installed side-by-side, along with a 2U Nutanix appliance, to build a ROBO datacenter in a 3U box. The 1G management port on the Nutanix node can be connected to a SN2010 switch port, eliminating the need for a separate management switch.The SN2010 is based on the state-of-art Mellanox Spectrum ® switching ASIC, which provides guaranteed performance for any workload running on the Nutanix cluster, regardless of packet size, network speed, and throughput/latency requirements, making the networking completely transparent. The Mellanox switch provides additional value by allowing Docker containers, such as VPN and DHCP services, to run on the switch, further simplifying manageability and security while reducing costs.Automated Provisioning for Business ContinuityFigure 2. Integrated Network Provisioning for VM MobilityFigure 3. Automated Network Provisioning for Disaster Recovery and Business ContinuityNutanix enterprise cloud streamlines datacenter operations withconsumer–grade management in Prism™, which simplifies applicationmobility and load balancing. It also reduces complex operations suchas disaster recovery to a single click and ensures business continuity ofmission-critical applications.The integration of Nutanix Prism and Mellanox NEO ®, Mellanox’snetwork orchestrator, enables automated network provisioning thatrequires no manual operation. In a CRUD event (i.e., VM or containercreation, migration, and deletion), Mellanox NEO works with Prismthrough RESTful APIs in the background, configuring the virtual local areanetwork (VLAN) for that VM/container on the switch port it’s connectedto. When the VM/container becomes live through Prism, it automaticallycomes online.In the event of a disaster, networking is often the key challenge for implementing business continuity and disaster recovery beyond data replication. The joint Nutanix- Mellanox solution automates network provisioning as part of workload lifecycle management and allows workloads to preserve their IP addresses and gateways when they failover to the remote DR site, enabling uninterrupted business continuity during partial or full failover. These capabilities are delivered through the Mellanox NEO and Prism Central integration forautomation, using Ethernet VPN (EVPN)-based virtual extensible LAN (VXLAN) overlays. This allows the transparent stretching of networks from the ROBO site to the DR site or the main datacenter. Nutanix offers synchronous, asynchronous, and near-synchronous replication options that can be granularly controlled to meet various RPO/RTO goals. In addition, Mellanox NEO provides one-click configuration for mLAG and switch software upgrade at scale.© Copyright 2020. Mellanox Technologies. All rights reserved.Mellanox, Mellanox logo, ConnectX, Mellanox NEO, Mellanox Spectrum, and LinkX are registered trademarks of Mellanox Technologies, Ltd. What Just Happened is a trademark of Mellanox Technologies, Ltd.Nutanix, the Enterprise Cloud Platform, the Nutanix logo and the other Nutanix products, features, and/or programs mentioned herein are registered trademarks or trademarks of Nutanix, Inc. in the United States and other countries. This docu-ment is provided for informational purposes only and is presented ‘as is’ with no warranties of any kind, whether implied, statutory or otherwise. All other trademarks are property of their respective owners.350 Oakmead Parkway,Suite 100, Sunnyvale, CA 94085Tel: 408-970-3400Fax: Real-time Visibility for AIOpsNutanix offers real-time visibility in the cluster of applications running on the node and associated compute, storage and securitymetrics at the VM/container level. Such visibility is used for remote management, in a cloud-native way, for extensible, intelligent and automated IT Ops – forecast, planning, optimization, and anomaly detection and remediation.Similarly, Mellanox ESF provides real-time visibility into network-related problems,through an event-based, advanced telemetry technology called What Just Happen™(WJH). Mellanox WJH does packet inspection at line rate, accelerated by the switchASIC. In the events of network anomalies, the WJH telemetry agent, running as acontainer on the Mellanox switch, streams out both the packet itself and relatedinformation in JSON or other streaming methods. The telemetry data can be streamedto a database repository or directly to the management software, such as MellanoxNEO, Nutanix Prism, and TIG (Telegraf-InfluxDB-Grafana).While traditional telemetry solutions try to extrapolate root causes of network issuesby analyzing network counters and statistical packet sampling, WJH goes beyond thatby providing actionable details on abnormal network behavior and eliminating the guess work from fast network troubleshooting.ConclusionROBO is common in enterprise IT infrastructures. Deploying and managing ROBO sites efficiently as part of the enterprise cloud is a key imperative for business operations. Nutanix delivers a web-scale, hyperconverged infrastructure solution, and brings the scale, resilience and economic benefits of web-scale architecture to ROBO. Mellanox Ethernet Storage Fabric, with its purpose-built TOR switches in particular, allows a ROBO solution in a box with integrated automation of the Nutanix platform for network provisioning, operation, and troubleshooting. The Nutanix and Mellanox solution brings ROBO into the unified enterprise cloud with efficiency and cost savings throughout the lifecycle of Day 0/1/2 operations.About NutanixNutanix makes infrastructure invisible, elevating IT to focus on the applications and services that power their business. Using Nutanix, customers benefit from predictable performance, linear scalability, and cloud- like infrastructure consumption. A single software fabric unifies your private and public clouds, and delivers one-click simplicity in managing multi-cloud deployments. One OS, one click. Learn more at or visit Twitter @nutanix.About MellanoxMellanox Technologies is a leading supplier of end-to-end Ethernet interconnect solutions and services for enterprise data centers, Web 2.0, cloud, storage, and financial services. More information is available at: 。
Fortinet FortiExtender 系列产品说明书
F ortiExtender™ SeriesExtend, Ensure, and Secure Your NetworkFortiExtender offers scalable, cost-effective, and resilient 5G, LTE, and Ethernet solutions. Driven by Fortinet’s unique approach of Security-driven networking FortiExtender allows organizations business continuity, improved network availability while securing connectivity with wired broadband and cellular networks.From secure point of sale (POS) systems to vehicle fleet communication, FortiExtender provides reliable broadband access to the internet and extends the value of the Fortinet Security Fabric to support fluid business operations dependent on remote device connectivity.HighlightsImproves user experience though optimal 5G and LTE wireless signalProvides secure network failover with out of band management (OBM), dual SIM, and dual Modem capabilitiesIntegrates with Fortinet Secure SD-WAN for ease of deployment, management, and securityOffers dynamic, flexible edge connectivity—switch links among ISPs based on data consumption, schedules, or ad hocEnables network access for remote sites and branches located beyond fixed broadbandAccelerates cloudconnectivity for any user with flexible on-ramp paths to SaaS/IaaSReduces overall WAN TCO with FortiGate NetworkSecurity Platform integration Cloud-based management empowers businesses with globally distributed locations Four LAN ports and routing capabilities enable remote Available in ApplianceData SheetSecurity-Driven NetworkingSecurity Fabric IntegrationIntegration with Fortinet SD-WAN and FortiGate appliances secures internet edge breakouts with a complete set of Web, Content, and Device security controls far beyond other industry solutions.Optimal Signal StrengthA single PoE cable provides optimal 5G/LTE signal vs complex, lossy antenna cables or limited strength USB modems. Dual SIM and Dual Modem options offer up to 5X network reliability.Simplified ManagementManage your FortiExtender from the FortiManager, FortiGate, or FortiExtender Cloud dashboard, making network changes, security controls, and policy automation simple.FortiExtender managed with FortiGateFeaturesSuperior Management, Security, and ControlFortiExtenders are a true plug-and-play device. Once connected to the FortiGate, they appear as a regular network interface in FortiOS management. IT administrators can manage the connection as well as implement complete UTM security and control, just like any other FortiGate interface. In addition, FortiOS will display data quota usage on the wireless WAN interface, providing complete visibility of the connection to ensure costly carrier data limits are not exceeded. The superior management, security, and control of the FortiExtender ultimately reduces IT costs while extending, ensuring, and securing the network.Flexible Deployment for Optimal Signal StrengthFortiExtender devices are designed to receive the best possible 5G/LTE signal. The device utilizes Power over Ethernet (PoE) so you can run a high-quality ethernet cable to a location with optimal signal strength, up to 100 m away from the FortiGate or Network Switch.FortiExtender can be placed near a window for optimal signal strengthDeploymentFlexible 5G/LTE ConnectivityThe FortiExtender family of 5G/LTE appliances support dual SIMand dual modem options, enabling up to four different ISPs for 5G/LTE connectivity. Our dual SIM models allow for one active and onepassive cellular link, providing fast failover. Dual Modem options providetwo active and two passive links, for the fastest failover and disasterrecovery. You can also configure the FortiExtender to utilize an ISPlink until a certain data usage threshold is reached. At that point,FortiExtender can automatically shift over to another ISP and usethat 5G/ LTE connection. Additional conditions can be set to shift theconnection between SIM cards, allowing you to balance connectivity andcost.Switch between ISPs based on cost or data usageFlexible WAN ConnectivityFortiExtender offers new WAN connectivity options with an EthernetWAN port, in addition to the LTE WAN links. With this WAN port, youcan connect to a DSL, cable, or another modem for additional WANconnectivity options. Load-balancing and failover options enable yourFortiExtender to manage your WAN connections across several optionsto ensure connectivity at the best cost point.Mix LTE and Cable/DSL connections for load-balancing and/or failoverHybrid WAN-LAN ConnectivityFortiExtender offers four LAN Ethernet ports to enable multipleconnections to the LTE connection. Ideal for High Availability (HA)pairs of FortiGates, each FortiGate can be directly connected to theFortiExtender. Either FortiGate can run in load-balancing or failovermodes and receive WAN connectivity from the FortiExtender.Easily supports two FortiGates in HA mode without additional hardwareHardware SpecificationsIC ICES-003, RSS-102—ICES-003, RSS-247, RSS-102—CE—EMC 2014/30/EU (EN 55032, EN55024, EN 55035, EN 61000-3-2/-3; EN 301 489-1/-19, Draft EN 301489-52)RED 2014/53/EU (EN 303 413, EN 301908-1/-2/-13, EN 62311)LVD 2014/35/EU (EN 62368-1)—EMC 2014/30/EU (EN 55032, EN55035, EN 61000-3-2/-3; EN 301 489-1/-17/-52, Draft EN 301 489-19)RED 2014/53/EU (EN 300 328, EN 303413, EN 301 908-1/-2/-13, EN 62311)LVD 2014/35/EU (EN 62368-1)UL UL/CSA 62368-1UL/CSA 62368-1UL/CSA 62368-1UL/CSA 62368-1CB IEC/EN 60950-1, IEC/EN 62368-1IEC/EN 60950-1, IEC/EN 62368-1IEC/EN 62368-1IEC/EN 62368-1Certification notes:The built-in modem offers quad-band connectivity to HSPA+ networks worldwide and expected to work in 3G mode worldwide, subject to carrier support.There are exceptions however, as some carriers control the access to their network to specific carrier certified devices. These carriers allow only certified modem IMEI numbers on their network and have the ability to disable the LTE connection after a period of time.The following carriers are known to require additional testing to obtain certification. Please reach out to the Fortinet sales team and to evaluate your specific regional requirements: Brazil (VIVO),Hardware SpecificationsCertification notes:The built-in modem offers quad-band connectivity to HSPA+ networks worldwide and expected to work in 3G mode worldwide, subject to carrier support.There are exceptions however, as some carriers control the access to their network to specific carrier certified devices. These carriers allow only certified modem IMEI numbers on their network and have the ability to disable the LTE connection after a period of time.The following carriers are known to require additional testing to obtain certification. Please reach out to the Fortinet sales team and to evaluate your specific regional requirements: Brazil (VIVO),IC ICES-003, RSS-247, RSS-102—ICES-003, RSS-247, RSS-102CE—EMC 2014/30/EU (EN 55032, EN 55035, EN61000-3-2/-3; EN 301 489-1/-17/-52, Draft EN301 489-19)RED 2014/53/EU (EN 300 328, EN 303 413,EN 301 908-1/-2/-13, EN 62311)LVD 2014/35/EU (EN 62368-1)EMC 2014/30/EU (EN 55032, EN 55024, EN55035EN 61000-3-2/-3; EN 301 489-1/-17)RED 2014/53/EU (EN 300 328, EN 62311)LVD 2014/35/EU (EN 60950-1, EN 62368-1)UL UL/CSA 62368-1UL/CSA 62368-1UL/CSA 60950-1, UL/CSA 62368-1CBIEC/EN 62368-1IEC/EN 62368-1IEC/EN 60950-1, IEC/EN 62368-1Hardware SpecificationsIC ICES-003, RSS-247, RSS-102ICES-003, RSS-247, RSS-102ICES-003, RSS-247, RSS-102ICES-003, RSS-247, RSS-102CE EMC 2014/30/EU (EN 55032, EN55024, EN 55035, EN 61000-3-2/-3;EN 301 489-1/-17/-19,Draft EN 301 489-52)RED 2014/53/EU (EN 300 328,EN 303 413, EN 301 908-1/-2/-13,EN 62311, EN 50382, EN 50665,EN 50663, EN 62479)LVD 2014/35/EU (EN 60950-1, EN62368-1)EMC 2014/30/EU (EN 55032, EN55024, EN 55035, EN 61000-3-2/-3;EN 301 489-1/- 17/-19, Draft EN 301489-52)RED 2014/53/EU (EN 300 328, EN 303413, EN 301 908-1/-2/-13, EN 62311)LVD 2014/35/EU (EN 60950-1, EN62368-1)EMC 2014/30/EU (EN 55032, EN55024, EN 55035, EN 61000-3-2/-3; EN 301 489-1/-17, Draft EN 301489-19/-52)RED 2014/53/EU (EN 300 328, EN 303413, EN 301 908-1/-2/-13, EN 62311,EN 50665, EN 50385)LVD 2014/35/EU (EN 62368-1)EMC 2014/30/EU (EN 55032, EN55024, EN 55035, EN 61000-3-2/-3;EN 301 489-1/-17/-19, Draft EN 301489-52)RED 2014/53/EU(EN 300 328, EN 303 413, EN 301908-1/-2/-13/-25, EN 62311)LVD 2014/35/EU (EN 60950-1, EN62368-1)UL UL/CSA 60950-1, UL/CSA 62368-1UL/CSA 62368-1UL/CSA 62368-1UL/CSA 62368-1)CB IEC/EN 60950-1, IEC/EN 62368-1IEC/EN 60950-1, IEC/EN 62368-1IEC/EN 60950-1, IEC/EN 62368-1(IEC/EN 60950-1, IEC/EN 62368-1)Certification notes:The built-in modem offers quad-band connectivity to HSPA+ networks worldwide and expected to work in 3G mode worldwide, subject to carrier support.There are exceptions however, as some carriers control the access to their network to specific carrier certified devices. These carriers allow only certified modem IMEI numbers on their network and have the ability to disable the LTE connection after a period of time.The following carriers are known to require additional testing to obtain certification. Please reach out to the Fortinet sales team and to evaluate your specific regional requirements: Brazil (VIVO),Regional CompatibilityNorth America Carriers EMEA, Brazil, some APACCarriersNorth America Carriers EMEA, APAC Carriers North America Carriers EMEA, APAC Carriers Internal Modem SpecificationsModem Model Quectel EM06-A Quectel EM06-E Sierra Wireless EM7411Sierra Wireless EM7421Sierra Wireless EM7411(2x Modem)Sierra Wireless EM7421 (2x Modem)5G NR SA and NSA————4G: LTE CAT-6FDD Bands:2, 4, 5, 7, 12, 13, 25, 26,29, 30, 66TDD Bands:41CAT-6FDD Bands:1, 3, 5, 7, 8, 20, 28, 32TDD Bands:38, 40, 41CAT-7Bands:2, 4, 5, 7, 12, 13, 14, 25, 26,41, 42, 43, 48, 66, 71CAT-7Bands:1, 3, 7, 8, 20, 28, 32, 38,40, 41, 42, 43CAT-7Bands:2, 4, 5, 7, 12, 13, 14, 25, 26,41, 42, 43, 48, 66, 71CAT-7Bands:1, 3, 7, 8, 20, 28, 32, 38,40, 41, 42, 433G: UMTS/HSPA+Bands: 2, 4, 5Bands: 1, 3, 5, 8Bands: 2, 4, 5Bands: 1, 5, 8Bands: 2, 4, 5Bands: 1, 5, 8 3G: WCDMA Bands: 2, 4, 5Bands: 1, 3, 5, 8Bands: 2, 4, 5Bands: 1, 5, 8Bands: 2, 4, 5Bands: 1, 5, 8 Additional Ports GPS antenna port GPS antenna port GPS antenna port GPS antenna port GPS antenna port GPS antenna portConnector Type SMA (MAIN, AUX, GPS)SMA (MAIN, AUX, GPS)SMA (MAIN, AUX, GPS)SMA (MAIN, AUX, GPS)SMA LTE1(MAIN, AUX,GPS) LTE2(MAIN, AUX,GPS)SMA LTE1(MAIN, AUX, GPS) LTE2(MAIN, AUX,GPS)Module Certifications FCC, IC, GCF, PTCRB GCF, CE, NCC, RCM,ICASAFCC, IC, GCF, PTCRB GCF, NCC FCC, IC, GCF, PTCRB GCF, NCC Diversity Yes Yes Yes Yes Yes YesMIMO Yes Yes Yes Yes Yes YesGNSS Bias Yes Yes Yes Yes Yes YesRegional CompatibilityGlobal Carriers Global Carriers Global Carriers Global CarriersInternal Modem SpecificationsModem Model Sierra Wireless EM7565Sierra Wireless EM7565 (2x Modem)Quectel EM160R-GL Quectel RM502Q-AE5G NR SA and NSA——5G Sub-6Bands:n1, n2, n3, n5, n7, n8, n12, n20, n25, n28, n38,n40, n41, n48, n66, n71, n77, n78, n794G: LTE CAT-12Bands:1, 2, 3, 4, 5, 7, 8, 9, 12, 13, 18, 19,20, 26, 28, 29, 30, 32, 41, 42, 43,46, 48, 66(Bands 42, 43, 46 are supported onRev: P24254-02 and later)CAT-12Bands:1, 2, 3, 4, 5, 7, 8, 9, 12, 13, 18, 19, 20,26, 28, 29, 30, 32, 41, 42, 43, 46,48, 66CAT-16FDD Bands:1, 2, 3, 4, 5, 7, 8, 12, 13, 14, 17, 18, 19,20, 25, 26, 28, 29, 30, 32, 66TDD Bands:38, 39, 40, 41, 42, 43, 46 (LAA), 48(CBRS)CAT-20FDD Bands:1, 2, 3, 4, 5, 7, 8, 12(17), 13, 14, 18, 19, 20, 25,26, 28, 29, 30, 32, 66, 71TDD Bands:34, 38, 39, 40, 41, 42, 43, 483G: UMTS/HSPA+Bands: 1, 2, 4, 5, 6, 8, 9, 19Bands: 1, 2, 4, 5, 6, 8, 9, 19Bands: 1, 2, 3, 4, 5, 6, 8, 19Bands: 1, 2, 3, 4, 5, 6, 8, 19 3G: WCDMA Bands: 1, 2, 4, 5, 6, 8, 9, 19Bands: 1, 2, 4, 5, 6, 8, 9, 19Bands: 1, 2, 3, 4, 5, 6, 8, 19Bands: 1, 2, 3, 4, 5, 6, 8, 19 Additional Ports GPS antenna port GPS antenna port MIMO1, MIMO2MIMO1, MIMO2Connector Type SMA (MAIN, AUX, GPS)SMA LTE1 (MAIN, AUX, GPS)LTE2 (MAIN, AUX, GPS)4x SMA (MAIN, MIMO1, MIMO2,Diversity/GPS)4x SMA (MAIN, MIMO1, MIMO2, Diversity/GPS)Module Certifications FCC, IC, CE, GCF, PTCRB FCC, IC, CE, GCF, PTCRB GCF, CE, PTCRB, FCC, IC, Anatel,IFETEL, SRRC/NAL/CCC, NCC, KC,JATE/TELEC, RCM, ICASAGCF, CE, PTCRB, FCC, IC, JATE/TELEC, RCMDiversity Yes Yes Yes YesMIMO Yes Yes Yes YesGNSS Bias Yes Yes Yes Yes3G/4G-LTE/5G SpecificationsFeaturesAuto-connect✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝Auto-select Network✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝Data Byte Count✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝Network Profile✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝Self-diagnostics✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝Power Management —standby and hibernate✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝selective suspendDIAG and AT Commands✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝Private IP SIM Support✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝L2 Tunnel Mode via VLAN orCAPWAP for fast and flexible✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝deploymentsSingle Pane of GlassManagement via FortiGate✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝✓⃝and FortiManagerThe built-in modem offers quad-band connectivity to HSPA+ networks worldwide and is expected to work in 3G mode worldwide, subject to carrier support. There are exceptions however, as some carriers control the access to their network to specific carrier certified devices. These carriers allow only certified modem IMEI numbers on their network and have the ability to disable the LTE connection after a period of time.FeaturesATT✓⃝—✓⃝—✓⃝—✓⃝✓⃝✓⃝✓⃝PTCRB✓⃝—✓⃝—✓⃝—✓⃝✓⃝✓⃝✓⃝T-Mobile——————————Public Safety Network—————————FirstNetReady®The built-in modem offers quad-band connectivity to HSPA+ networks worldwide and is expected to work in 3G mode worldwide, subject to carrier support. There are exceptions however, as some carriers control the access to their network to specific carrier certified devices. These carriers allow only certified modem IMEI numbers on their network and have the ability to disable the LTE connection after a period of time.FortiExtender™ Series Data Sheet Ordering Information211E, FEX-212F, FEX-311F and FEX-511F models.Power Adapter SP-FEX12V3A-PA-1-EU AC Power adapter with EU plug for Europe, for use with FortiExtender FEX-101F, FEX-201F, FEX-202F, FEX-211E, FEX-212F, FEX-311F and FEX-511F models.11 Copyright © 2023 Fortinet, Inc. All rights reserved. Fortinet, FortiGate, FortiCare and FortiGuard, and certain other marks are registered trademarks of Fortinet, Inc., and other Fortinet names herein may also be registered and/or common law trademarks of Fortinet. All other product or company names may be trademarks of their respective owners. Performance and other metrics contained herein were attained in internal lab tests under ideal conditions, and actual performance and other results may vary. Network variables, different network environments and other conditions may affect performance results. Nothing herein represents any binding commitment by Fortinet, and Fortinet disclaims all warranties, whether express or implied, except to the extent Fortinet enters a binding written contract, signed by Fortinet’s General Counsel, with a purchaser that expressly warrants that the identified product will perform according to certain expressly-identified performance metrics and, in such event, only the specific performance metrics expressly identified in such binding written contract shall be binding on Fortinet. For absolute clarity, any such warranty will be limited to performance in the same ideal conditions as in Fortinet’s internal lab tests. Fortinet disclaims in full any covenants, representations, and guarantees pursuant hereto, whether express or implied. Fortinet reserves the right to change, modify, transfer, or otherwise revise this publication without notice, and the most current version of the publication shall be applicable.January 17, 2023FEXT-DAT-R36-20230117。
大型复杂系统应用自动化部署平台的设计与实现
Automatic Control•自动化控制大型复杂系统应用自动化部署平台的设计与实现文/王定军随着企业IT基础设施规模越摘来越大,服务器数量数以千计,要原有人工部署方式已经无法满足事部署需求。
为了提高中国电信集团全国集中应用系统部署的质量和效率,研发了自动化部署系统。
【关键词】自动化部署应用部署版本发布企业应用部署是软件持续交付的重要环节,特别是中国电信全国集中MSS应用系统部署服务器多、部署结构复杂、部署环境多、部署频率高、时间窗口短,导致部署工作量巨大。
而传统手工部署效率低下、失误率高,导致部署质量不高。
研发大型复杂系统自动化部署平台,将大量繁杂的手工部署流程化,实现了人工部署向自动化、智能化部署的转变。
快速降低了人工成本,提高了应用部署的效率和质量。
因其过程中全流程自动化、智能化,避免了部署人员与发布包的直接接触,有效降低了部署过程中的误操作行为。
1自动化部署平台选型1.1主流部署工具对比目前自动化部署工具主要分为三大类:1.1.1国外商业化自动化部署软件这类软件一般功能强大,提供了丰富的插件,售后服务完善,应用范围广泛,但是价格一般比较昂贵。
主要包括:IBM UrbanCode Deploy、HP Server Automation和HP Operations Orchestration等。
1.1.2开源或免费自动化部署软件主要代表是Apache Ant,优点是使用广泛、简单易用、免费使用。
但是由于功能过于简单,主要使用在测试环境部署,无法满足大型复杂系统多环境(测试环境、准生产环境、生产环境)高质量部署要求。
1.1.3国内自动化部署软件目前国内技术领先的百度、阿里巴巴、腾讯、华为等大型企业,均有自己研发的自动化部署工具,但仅限在各自企业内部使用,并未产品化推向市场。
1.2自动化部署平台需求r>®±Serverl—r>启aServerl—■>停止Server2更新Application启动5erver2图2:任务组成(部署A系统)经过对HP、IBM部署产品多轮POC测试,IBM UrbanCode Deploy>HP Server Automation和HP Operations Orchestration,无法满足中国电信全国集中MSS复杂部署情况或使用过于复杂。
同步关闭英文 句子
同步关闭英文句子英文回答:Simultaneous Shutdown.In the realm of distributed systems, synchronous shutdown is a technique used to gracefully terminate a collection of processes in a coordinated manner. Unlike abrupt termination, where processes are abruptly terminated without any coordination, synchronous shutdown ensures that all processes involved complete their tasks and terminatein a controlled fashion.The orchestration of a synchronous shutdown typically involves the following steps:1. Initiation: The shutdown process is initiated by a designated coordinator process.2. Notification: The coordinator sends a shutdownmessage to all participating processes, signaling the commencement of the shutdown sequence.3. Graceful Termination: Upon receiving the shutdown message, each process begins to wind down its operations in a graceful manner. This involves completing any pending tasks, flushing buffers, and releasing resources.4. Coordination: The coordinator monitors the progress of the shutdown process, waiting for all processes to complete their termination.5. Completion: Once all processes have successfully terminated, the coordinator acknowledges the completion of the shutdown procedure.Synchronous shutdown offers several advantages over abrupt termination, including:Consistency: Ensures that all processes are terminated in a consistent state, preventing data corruption or inconsistencies.Reliability: Provides a high degree of reliability by waiting for all processes to complete termination before declaring the shutdown complete.Recovery: Facilitates recovery from failures by allowing processes to gracefully terminate and release resources, reducing the likelihood of data loss or corruption during restart.To implement synchronous shutdown, various approaches can be employed, such as:Leader-Based Shutdown: A dedicated leader process coordinates the shutdown process, sending shutdown messages to other processes and monitoring their termination status.Quorum-Based Shutdown: A quorum of processes must agree to initiate a shutdown, and each process monitors the status of the others to ensure a coordinated termination.Barrier-Based Shutdown: All processes wait at abarrier until all of them have reached that point, ensuring a synchronized shutdown.中文回答:同步关闭。
容器编排英语作文
容器编排英语作文Title: Container Orchestration: Revolutionizing Application Deployment。
In the fast-paced world of technology, where agility and scalability are paramount, container orchestration has emerged as a cornerstone for efficient application deployment and management. This paradigm shift in software development and deployment practices has revolutionized the way organizations build, ship, and run their applications.Container orchestration, at its core, is the automated management of containerized applications, enabling seamless deployment, scaling, and monitoring across a distributed environment. This orchestration is facilitated by specialized tools and platforms like Kubernetes, Docker Swarm, and Apache Mesos, which provide the necessary infrastructure to manage containers at scale.One of the key advantages of container orchestration isits ability to abstract away the complexities of infrastructure management, allowing developers to focus solely on building and shipping their applications. This abstraction is achieved through the use of containerization technologies such as Docker, which encapsulate applications and their dependencies into lightweight, portable units known as containers.By decoupling applications from the underlying infrastructure, container orchestration empowers organizations to embrace microservices architecture, where applications are broken down into smaller, loosely coupled components. This architectural approach promotes agility, scalability, and resilience, as individual microservices can be independently developed, deployed, and scaled based on demand.Furthermore, container orchestration enables efficient resource utilization through dynamic scaling, where containers are automatically provisioned or decommissioned based on workload fluctuations. This elasticity ensures optimal performance and cost-efficiency, as resources areallocated precisely where and when they are needed, eliminating the need for over-provisioning or manual intervention.Another crucial aspect of container orchestration is service discovery and load balancing, which ensure that incoming requests are distributed evenly across containerized services. This capability enhances fault tolerance and availability by intelligently routing traffic to healthy instances, thereby minimizing downtime and maximizing performance.Moreover, container orchestration simplifies the deployment and management of complex, multi-tiered applications by enabling declarative configuration and automated rollout strategies. This approach streamlines the deployment pipeline, reduces human error, and facilitates continuous delivery practices, where changes are seamlessly integrated and deployed in a controlled manner.Security is also a paramount concern in containerized environments, and container orchestration platforms offerrobust mechanisms for securing containerized workloads. These include isolation mechanisms, network policies, and role-based access control (RBAC), which restrict access and mitigate potential security threats across the containerized ecosystem.In addition to these technical benefits, container orchestration fosters a culture of collaboration and innovation within organizations by enabling cross-functional teams to work cohesively towards common goals. Developers, operations teams, and DevOps engineers can leverage container orchestration platforms to streamline workflows, iterate rapidly, and deliver value to end-users more efficiently.Looking ahead, the adoption of container orchestration is poised to accelerate further as organizations continue to embrace cloud-native technologies and digital transformation initiatives. With advancements in containerization, automation, and artificial intelligence, the future of application deployment promises to be even more agile, scalable, and resilient.In conclusion, container orchestration represents a paradigm shift in application deployment and management, empowering organizations to embrace microservices architecture, enhance scalability, and improve operational efficiency. By leveraging container orchestration platforms, organizations can accelerate their journey towards digital transformation and unlock new opportunities for innovationin the ever-evolving landscape of technology.。
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Orchestration Services for Distributed Multimedia Synchronisation Andrew Campbell, Geoff Coulson, Francisco García, and David HutchisonComputing Department, Lancaster University, Lancaster LA1 4YR, UKE.mail: mpg@AbstractRapid developments in networking technology over the past few years have lead to the emergence of distributed applications which incorporate continuous media data types such as digital video and audio. Such applications have stringent real-time synchronisation requirements which have been documented in the literature. However, little research has been carried out into suitable mechanisms to support such synchronisation. This paper presents a multimedia synchronisation architecture and a detailed description of the lower layer services of the architecture. The paper also provides a rationale for the services by describing a real world application area and illustrates how the services can be exploited in this application area. Because the services described incorporate a variety of co-ordination functions over multiple transport connections a more general term, orchestration, is introduced to describe the low level synchronisation services.Keyword Codes: C.2.2; C.2.4Keywords: Computer-Communication Networks, Network Protocols; Distributed Systems 1. INTRODUCTIONRapid developments in networking technology over the past few years have lead to the emergence of distributed applications which incorporate multimedia and continuous media information exchange [1] (e.g. digital video and audio). Such applications introduce new design challenges at all levels from network protocols and operating systems to application support platforms. This is because multimedia applications introduce fundamentally novel requirements [2] such as the need to represent continuous media storage and transmission, quality of service (QOS) configurability and real-time synchronisation of continuous media streams.This paper addresses the requirement for real-time synchronisation of continuous media streams. Our approach is based on the assumption that the underlying transport protocol supports a degree of QOS configurability and has responsive back pressure flow control. Previous work at Lancaster has addressed these issues and is reported in [3]. In this paper we describe layers on top of such a protocol which support application level synchronisation between multiple information streams. These services also provide support for synchronisation and rate control within single streams. Because of the scope of the services, we introduce a new term, orchestration, which is defined as the dynamic management of information flow and QOS in a multimedia session involving a set of connections and end devices.The paper first sets out, in section 2, requirements for synchronisation in distributed multimedia applications which are set in the context of a real world application scenario. Section 3 then introduces our orchestration services including an architecture which places the services within an experimental distributed multimedia application platform developed at Lancaster. Finally, section 4 presents an application example from the scenario of section 2 which exercises the orchestration services, and section 5 presents our conclusions.2. SYNCHRONISATION REQUIREMENTS2.1 Application ScenarioPrevious work in the field has identified the need for real-time synchronisation between related activities in multimedia applications (e.g. [4-6]). This section illustrates such requirements in the context of a real world application scenario which arose from a collaboration between Lancaster University and ICI, Runcorn, UK [7].The scenario is one of remote scientific co-operative working. ICI maintains a number of specialised microscopes at various sites throughout the country and employs scientists who use the various microscopes on a regular basis. Currently, scientists need to travel between sites to use microscopes and to collaborate with remotely sited colleagues on microscope output data. In the latter case, microscope output (usually slow scan video) is dumped to videotape and taken along by car.To reduce travelling overheads and improve the efficiency of collaboration, we have designed a prototype system which allows remote collaborative working between scientists at the various sites. Presently the system runs over a local network but should be capable of running over a wide area network without fundamental design changes. Each scientist has a audio/ video multimedia workstation with the capability to control and display the slow scan video output from remote microscope devices. Such output can also be multicast to a number of sites which are linked by a multiparty video telephone component. Finally, scientists engaging in remote collaborative working can record microscope output to disc and create multimedia documents including co-ordinated video, text and voice annotations. They may also send such documents to remote sites as ‘video mail’.2.2 Synchronisation ScenariosTo begin to address the requirements of multimedia synchronisation, we have identified two categories of synchronisation as follows:-event-driven synchronisation:This is the act of notifying that a relevant event or set of events has taken place, and then causing an associated action or actions to take place. This must all be done in a timely manner due to the real-time nature of continuous media communication. For example, a user clicking on the stop button relating to a video play-out should cause the play-out to stop instantaneously.continuous synchronisation:This is an on-going commitment to a repetitive fine grained pattern of event driven synchronisation relationships such as the 'lip sync' relationship between the individual frames in an audio and video components of a play-out. Continuous synchronisation is ultimately based on event synchronisation but is a useful concept in itself as it permits potentially complex patterns of event synchronisation, perhaps involving various degrees of ‘slack’ and tolerance, to be encapsulated and handled as a whole.To illustrate the applicability of the concepts of event driven and continuous synchronisation, we can extract a number of situations from the application scenario introducedabove:-event synchronisationA caption is to be shown at a particular point in a microscope video segment.event synchronisation with user interactionThe user hits a graphical user interface button to start/stop continuous information flow (perhaps over multiple flows simultaneously).lip synchronisationThis is the most commonly cited form of multimedia synchronisation. It appears in our scenario as the need to synchronise the video and audio components in the playback of a recorded videophone message (i.e. video mail). In such cases, video and audio are almost always stored in separate files and sometimes on separate storage servers which are optimised for different media [8].continuous synchronisation other than lip synchronisationThis is illustrated by the playback of two simultaneously recorded video segments which record the same experimental sample from two different perspectives. An example of this is where recordings of different magnification are made and then simultaneously replayed to convey an impression of the context of the higher magnification.continuous synchronisation requiring varying degrees of 'tightness'Simultaneously recorded video perspectives must be played in precise frame by frame synchrony so that relevant features may be simultaneously observed. On the other hand, lip synchronisation in multimedia documents does not need to be absolutely precise when the main information channel is auditory and video is only used to enhance the sense of presence. It is useful to permit degrees of tightness of continuous synchronisation as looser synchronisation is often sufficient and can be achieved with a relatively low overhead.continuous synchronisation of many streamsThis occurs in multimedia documents where an audio annotation, perhaps with accompanying video, is associated with microscope output clips involving one or more video streams.continuous synchronisation from disparate sources and sinksThe need for continuous synchronisation arises in a number of different physical node configurations. For example, video and audio from separate remote sources often need to be synchronised at a common sink. Conversely, the playout of a single segment of stored microscope may need to be displayed simultaneously at different remote sinks so that scientists discussing the output over a videophone can simultaneously refer to the same features. There are also situations where two or more streams need to be synchronised which all originate from different sources and are played out at separate remote sinks. For example, two remote scientists may each view different separately stored perspectives on the same experiment while discussing related events over the videophone. Finally, there is a need to synchronise separate multicasted playouts where, for example, a number of scientists interactively collaborate over a continuously synchronised playout where the components are separately stored.2.3 Infrastructure Requirements for Continuous SynchronisationAlthough it is possible in some situations to support continuous synchronisation simply by multiplexing the different media onto a single connection in the correct ratios, there exist strong arguments against this as a general solution [9]:-•the overhead and complexity of multiplexing/ demultiplexing is significant, especially when different encoding/ compression schemes are used for different media; this can lead to excessive real-time delays, especially where it would otherwise be possible to interface the transport protocol directly to hardware such as frame grabbers, codecs etc.;•the opportunity to process separate connections in parallel is lost, thus reducing potential performance;•multiplexing leads to a combined QOS which must be sufficient for the most demanding medium; this may be both expensive and unsuited to some component media types;•multiplexing is not an option where media originate from different sources.If multiplexing is rejected as a general purpose strategy for the support of continuous synchronisation, an analysis of the continuous synchronisation problem suggests that the following support should be provided by the infrastructure. Sections 3 and 4 illustrate how our design satisfies these requirements.i)the ability to start and stop and pause related continuous media data flows preciselytogether. If a temporal relationship is not correctly initiated, there is no possibility of maintaining correct synchronisation.ii)the ability to monitor the on-going temporal relationship between related connections, and to regulate the connections to perform fine grained corrections if synchronisation is being lost. It is almost inevitable that related connections will eventually drift out of synchronisation due to factors such as the potentially long duration of continuous media connections in typical applications, and temporary 'glitches' occurring in individual connections and the scheduling of source and sink application threads.Finally, note that the need for the comprehensive continuous synchronisation support detailed in this paper is only strictly necessary when all the CM sources to be orchestrated are stored. This is because with live media, there is no possibility of control over when the information flow starts (e.g. it depends when the camera is switched on!), and also no possibility of altering the speed of a live media flow. Whenever live sources are to be continuously synchronised (e.g. the output from a camera and a microphone), the major requirement is to ensure that the latency of the connections is the same. Other QOS parameters such as delay, jitter and error rates can be separately controlled over individual connections as desired.3. ORCHESTRATION ARCHITECTUREThis section presents an architecture which addresses the need for the temporal co-ordination of multiple related continuous media transport streams identified in section 2.It can be seen from the architecture diagram in figure 1 that orchestration is a multi-layered activity. Each layer provides policy to its lower neighbour and mechanism to its upper neighbour. This design provides both flexibility and efficiency because the lower layers are simply provided with targets, and all exceptions, error handling and re-structuring are handled in the layers above.3.1 Upper Architectural LayerThe top level of the synchronisation architecture forms part of the Lancaster multimedia application platform [10]. This is an object-based set of services based on the ANSA distributedsystems architecture [11]. At the application platform level all entities in the system are represented as abstract data type interfaces with named operations which can be invoked by RPC. Such entities include documents, the individual components of documents, 'devices' such as video windows and speakers, and even continuous media connections themselves. Abstract data type interfaces are referred to through interface references which are location independent 'handles' which can be freely passed around the system.Single node Single nodeKey:HLO H igh levelOrchestratorLLO Low levelOrchestratorULA OSI UpperLayerArchitectureFigure 1: Three level orchestration architecture.The synchronisation manager is the platform level view of the orchestration services and, like all the other platforms services, appears to applications as an abstract data type interface. The synchronisation manager is responsible for finding the physical locations of the transport connections underlying the platform level communications abstractions, and thus choosing a single node from which the lower levels of orchestration will be co-ordinated. The node selected, known as the orchestrating node, is that common to the greatest number of connections (see figure 2). For example, if it was required to orchestrate separate video and audio tracks of a film stored on separate storage servers, the common sink would be designated as the orchestrating node by the synchronisation manager. The platform level of the architecture is not discussed further in this paper. See [10] for more details of this aspect of the architecture.A more detailed description of the synchronisation specific aspects of the platform can be found in [12].Figure 2: Orchestrating at the common node.3.2 Lower Architectural LayersBelow the platform level, the remaining two orchestration components are responsible for realising the behaviour and policy required by the synchronisation manager. At this level, the orchestration process is realised as high level orchestrator (HLO) entities which monitor and regulate multiple transport connections via a low level orchestrator (LLO) interface. For each orchestrated group of connections, a single HLO runs on the orchestrating node, and an LLO instance runs on all source and sink nodes of all the orchestrated connections. The HLO only interacts with its local LLO instance, but the multiple LLO instances interact with each other viaOrchestrator PDUs (OPDUs), on out of band connections.3.2.1 Orchestration Control FrameworkThe out of band connections for OPDU transfers must have guaranteed bandwidth to support the necessary real-time communication of orchestration primitives and, in general, a separate connection is required between the orchestrating node and each source and sink node involved. However, depending on the topology the numbers of connections can often be reduced in practice: e.g. when a number of connections are sourced and sinked on the orchestrating node itself. In our current implementation we exploit duplex control connections associated with each simplex continuous media connection [13].There are three sorts of interaction between the HLO and the LLO instance on the orchestrating node, each of which involves a separate set of primitives. The first group of primitives are used for management purposes to establish and modify orchestrated groups of connections. The second set operates over a grouping of transport connections and provides the ability to atomically prime , start and stop the flow of data in these connections both atomically and instantaneously. The third set allows the HLO to control the rate of information flow on individual orchestrated connections, and thus forms the basis for the implementation of continuous synchronisation across multiple connections.Figure 3 illustrates the pattern of interaction for a single connection between the HLO and the local LLO where the third set of primitives are being applied. The HLO supplies the LLO with rate targets for each orchestrated connection over specified intervals . These targets require that each orchestrated connection runs at the required rate for the required synchronisation relationship between the orchestrated connections to be maintained. The LLO attempts to meet the required rate target over each interval for each connection, and reports back at the end of the interval on its actual success or failure. Then, on the basis of these reports, the HLO may set new targets for the next interval which compensate for any relative speed up or slow down among the orchestrated connections. If no new target is set for the forthcoming interval, the LLO uses the rate specified in the previous request until further notice. The LLO operates on a best effort principle; it is the responsibility of the HLO to take appropriate action (e.g. set new targets or re-negotiate the connection QOS) if the LLO consistently fails to meet targets. The length of interval chosen largely determines the granularity or 'tightness' of the synchronisation required (as specified by the application). As mentioned in section 2, loose synchronisation based on long intervals is relatively cheap in terms of message exchanges and synchronisation overhead.Figure 3: Interaction between HLO and LLO.3.2.2 Data Transfer in Orchestrated ConnectionsThe small numbered arrows in figure 3 represent the delivery of quanta of CM information which are released by the sink LLO instance to the application thread at times determined by the HLO initiated targets. These quanta are known as OSDUs , and are the units of CM information meaningful to applications (e.g. video frame or text paragraph).The orchestration services maintain a special OSDU sequence number field for each OSDU,which starts from zero when the connection is first used; a second such field, known as an event field, is employed for use by the Orch.Event primitive (see later). Both these fields form part of an OPDU which is sent along with each OSDU. OSDU and OPDU boundaries are maintained by the transport service. This is possible in our system because, at connection establishment time, the transport service is given the maximum size of an OSDU as a QOS parameter, and this (plus the size of the OPDU) is interpreted as a lower bound on buffer sizeallocation.threadFigure 4: Shared buffer interface between application and protocol threads.The application’s data.request and data.indication interface to the orchestration service is implemented as a circular shared buffer (see figure 4) which maintains mutual exclusion and access control by means of semaphores. The protocol and application run as separate threads and do not need to explicitly synchronise via the access semaphores if they are running at compatible rates. When applications write/ read OSDUs into/ from the circular shared buffers,they write/ read from the beginning of a buffer, and may also write/ read the current OSDU size to/ from an auxiliary memory location. The LLO operates largely by controlling the flow of data by means of the shared buffer access semaphores. The interface and mechanism of the LLO is described in the following section.4. LOW LEVEL ORCHESTRATORThe LLO service interface consists of three sets of OSI-like primitives corresponding to the three types of HLO/LLO interaction described above. As indicated above, the LLO interface is not expected to be used directly by applications but is intended for use by an HLO instance and ultimately via a synchronisation manager interface by an application running in an object-based computational model.We now present the LLO interface primitives in more detail together with their implementation in terms of protocol message exchanges.4.1 Management PrimitivesThe management primitives and their parameters are illustrated in table 1 below.4.1.1 Orch.requestWe assume that before an HLO instance attempts to instantiate an LLO orchestrating service, the connections to be orchestrated have already been established.The initiating HLO issues a Orch.request to the orchestrating LLO instance at its local node. This causes the orchestrating LLO to open transport associations between itself and the LLO instances at the source and sink of all connections in the orchestrated group. Subsequently, the orchestrating LLO instance uses these associations to pass an Orch.request to all the LLO instances involved. Each source and sink LLO instance passes an indication up to the application thread which owns the connection and waits for either an Orch.response or an Orch.release.request depending on whether or not the application wants the connection to be involved. Each LLO instance then replies on its private connection to the initiating LLO with either an Orch.confirm or an Orch.release.request packet. If accepted by all the remote LLO services, the HLO will eventually be passed an Orch.confirm, or if rejected a Orch.Release.indication giving a reason why orchestration was rejected. Apart from refusal by the application, rejection may also occur because some LLO instance has no table space available, or because one or more of the specified connections do not exist etc..Having authenticated the set of connections to be orchestrated, the orchestrating LLO instance enters the connection identifiers and the corresponding source and sink addresses in a private table accessible via the orch-session-id.Primitives ParametersOrch.request Orch.indication Orch.response Orch.confirm orch-session-id, list-of-vc-ids "orch-session-id, vc-id, status "Orch.Release.request Orch.Release.indication Orch.Release.response Orch.Release.confirm orch-session-id, vc-id"orch-session-id, vc-id, reason "Orch.Add.request Orch.Add.indication Orch.Add.response Orch.Add.confirm orch-session-id, vc-id"orch-session-id, vc-id, status "Orch.Remove.request Orch.Remove.indication Orch.Remove.response Orch.Remove.confirm orch-session-id, vc-id"orch-session-id, vc-id, status "Table 1: Orchestration management primitives together with their associated parameters.4.1.2 Orch.Add and Orch.RemoveThe Orch.Add and the Orch.Remove primitives are employed to either add or remove a connection or connections from an orchestrated group. The message sequence is similar to that for Orch.request. Note that when connections are removed from an orchestrated group they are not disconnected and thus data may still be flowing. If a single connection is closed, the local LLO instance is informed by the transport service and issues a Orch.Remove.request to the orchestrating LLO instance.4.1.3 Orch.ReleaseAn entire orchestration session is released by issuing a Orch.Release.request. Again, the message sequence is similar to that for Orch.request. Orchestration will also be released implicitly if all the connections in an orchestrated session are closed.4.2 Group Operation PrimitivesThe primitives to prime connections, and atomically start and stop the data flow on groups of orchestrated connections are illustrated in Table 2.4.2.1 Orch.PrimeThe prime mechanism has the effect of filling the end-to-end pipeline of buffers in a connection and is used to ensure that multiple streams of remotely stored CM data can be started together in a co-ordinated manner. It is also useful in ensuring that time critical data can be pre-fetched and made available when required. A third application of Orch.Prime arises when it is required to flush the buffers in an end to end connection. This need arises when a user stops a media play-out and then wishes to seek to another part of the media before resuming. If the buffers were not flushed in this situation, a short burst of media buffered from the previous play would be discernible.Following the issue of an Orch.Prime.request by the initiating HLO, the orchestrating LLO forwards Orch.Prime.requests to all involved source and sink LLO instances. At each LLO instance, Orch.Prime.indication primitives are passed to the application threads associated with the connection. On receipt of the Orch.prime.indication, each application thread is expected to flush any internal buffers and start generating data or preparing to accept data as appropriate. If any application thread is not in a position to do this it can set the error-flag in the Orch.Prime.response primitive.As data begins to arrive at the sinks, the sink LLOs in the primed state allow the receiver's communications buffers to fill, but prevent the data from being delivered to the receiving application threads. When the receive buffers are eventually full, each sink LLO notifies the orchestrating LLO, which eventually relays the received Orch.Prime.confirm packet to the originating HLO. At this point, the source application thread will also be blocked by the protocol's flow control mechanism, but the pipeline is filled and ready to go.Primitives ParametersOrch.Prime.request Orch.Prime.indication Orch.Prime.response Orch.Prime.confirm orch-session-id"orch-session-id, error-flag "Orch.Start.request Orch.Start.indication Orch.Start.response Orch.Start.confirmorch-session-id, start-time, default-rate"""Orch.Stop.request Orch.Stop.indication Orch.Stop.response Orch.Stop.confirm orch-session-id " " "Table 2:Orchestration primitives for priming, starting and stopping.4.2.2 Orch.StartThis is intended to be issued after the successful completion of an Orch.Prime. The primitive re-starts the transport protocol and also unblocks the previously filled receive buffers so that data may be consumed by the sink application thread. In terms of messages, the Orch.Start.request issued by the HLO is forwarded to each sink LLO instance concerned. To ensure simultaneity of action, the orchestrating LLO must keep information on the maximumdelay of its out-of-band associations with the LLO instances at the sinks of each connection. This is possible in our experimental system as the transport service provides delay bound configurability as part of its QOS control interface. The orchestrating LLO must then time stamp each Orch.Start.request packet with the value ‘now’ + max(delay1, delay2, ..., delay n). On arrival of these packets at the LLO instance at each sink, the message is held back until the current time becomes equal to the timestamp value. Note that this requires a globally synchronised clock for correct operation. This can be supplied by mechanisms such as satellite time co-ordination or network time protocols such as NTP [14].If an Orch.Prime has been issued before the present Orch.Start, data will already be waiting at all the sinks, and all the receiving application threads in the orchestrated group will start to receive data at (almost) the same instant. A Orch.Start.indication is sent to each sink application thread as a result of the Orch.Start.request in an analogous manner to that described for Orch.Prime. However, where the system is already in a primed state, these threads will not need to take any special action as they are already set up to produce/ consume data, but are blocked by the underlying transport protocol’s back-pressure flow control mechanism.After Orch.Start.request packets have been received at each sink LLO instance, the LLO instances reply to the orchestrating LLO by means of an Orch.Start.response packet, and the final response is relayed to the originating HLO when all expected packets have been received.4.2.3 Orch.StopOrch.Stop ‘instantaneously’ freezes the flow of data in the specified connections. Internal messages exchanges are only necessary between the orchestrating LLO and the sinks: back pressure in the transport protocol is relied on to stop data flow at the source. Note, however, that the flow of data can not actually be stopped until the underlying protocol's flow control mechanism can take effect. As with the Orch.Prime primitive, the receive buffers are made unavailable to the application sink thread before they are drained so that data is available for a subsequent primed start. Simultaneity of action is attained in a similar manner to Orch.Start via a timestamping mechanism.Note that a potential problem with both Orch.Start and Orch.Stop is that a orchestration protocol message may be lost or delayed beyond its expected latency thus causing some connections to be either left out or uncoordinated. This problem could be overcome by using a standard two phase commit algorithm [15] but the overhead here could be significant. We are investigating this pragmatically as our implementation develops.4.3 Regulation PrimitivesThe third group of primitives operate on single transport connections within an orchestrated grouping. Thus each primitive is issued with both an orch-session-id and a vc-id. These primitives enable the controlling HLO to regulate and monitor the flow rate targets described in section 3.1. As stated above, LLO instances will attempt to meet these targets on a best effort basis. Primitives are also provided to report back to the HLO on the actual performance achieved at the end of each interval.4.3.1 Orch.Regulate4.3.1.1 Orch.Regulate.requestThe Orch.Regulate.request primitive is issued by the HLO instance to set a flow rate target for the forthcoming interval. Note that there are no confirm and response packets associated with this primitive as communication is not passed up above the LLO layer at the remote end. For this reason, the indication variant of this primitive does not require a response. The same applies to the Orch.Event primitive described later.Parameters to Orch.Regulate.request include the orchestration session ID, the ID of the。