数据共享技术定义、原理及应用

EDUCATION
高级数据共享技术：数据共享 技术的定义、原理及应用，以 技术的定义 原理及应用 以 及基于数据块的实现
演讲人:刘松涛 ADIC高级技术顾问

Abstract
EDUCATION
Advanced Data Sharing Technologies – Part 1 The What, Why and How of Data Sharing technologies plus block and filebased approaches for IT Director and Managers, IT/Storage/System Eng., Admins, Architects g g y g and Trainers How to deliver more performance and data accessibility with little to no additional cost? How to take advantage of existing storage infrastructure to provide more value to end-users and the global enterprise? A clear industry end users direction indicates that Data Sharing architectures and technology can be a good way to achieve these objectives. The first session offers a definition of Data Sharing and a discussion of its benefits with examples linked to the SNIA Shared Storage Model We cover the Model. main data sharing approaches and describe how they can improve performance, data accessibility, and manageability. This includes Scale-in and Scale-out methods based on block, file and application technologies such as: Cluster Volume M Cl t V l Managers, SAN File Systems, Cluster File Systems, Parallel Fil S t Cl t Fil S t P ll l NFS (pNFS), Object-based Storage Devices (OSD) and Global/Parallel File System.
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SNIA Legal Notice
EDUCATION
Th material contained i thi t t i l i copyrighted b The t i l t i d in this tutorial is i ht d by the SNIA Member companies and individuals may use this material in presentations and literature under the following conditions:
– Any slide or slides used must be reproduced without modification – The SNIA must be acknowledged as source of any material used in the body of any document containing material from these y y g presentations
This presentation is a project of the SNIA Education Committee
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Agenda
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What is Data Sharing ?
– Definition
Why Data Sharing ?
– End User Benefits
How is Data shared ?
– Block and file-based approaches file based
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EDUCATION
What is Data Sharing ? Why Data Sharing ?

What is Data Sharing ? g
Definition
Shared access to same data (value & location) by multiple systems
– Read/write: changes to data become visible to all servers – Read-only access via mechanisms that support shared read/write access
EDUCATION
Examples
– Read/write access to a s a ed file is data s a g ead/ te shared e s sharing
So is read-only access to a shared file
– Clone/Snapshots (read-only or read/write) are not data sharing
Changes do not affect original data

Caching is data sharing when changes propagate
– Changes to cached data must become visible to all – Other data changes must become visible via cache
Replication/CDP* is not data sharing because location changes
– Potential divergence of data
* CDP: Continuous Data Protection
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