EMC_XtremIO全闪存存储

150K MIXED IOPS 250K READ IOPS <1MS Latency
Starter 5TB
5–120 TB based on 10 & 20 TB X-Bricks SCALE-OUT <1MS LATENCY. RICH DATA SERVICES. NO TUNING.
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4
2 x FC 2 x iSCSI
25
eMLC SSDs
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如何扩展?
X-Brick 1
SHARED MEMORY METADATA
Unique User Data
SHARED MEMORY METADATA
3
Distributed is Critical for AFAs Share Nothing
TYPE
4
• Mid-Tier Architecture
• Enterprise Architecture
• No front-end relief• in Scale Up • Distributed Meta-Data Distributed Meta-Data • Large Repositories • Non-Transactional Commits • Content Limited CPU for Data Services
持续领先 EMC XtremIO 全闪存储存新技术
韩冰 EMC 大中华区XtremIO业务经理 2014年10月23日
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1
XtremIO
#1 All-Flash Array in the Market Gartner Magic Quadrant Leader
TYPE
• Controllers are the Bottleneck • Independent Controllers • Independent Controllers • Linear Scaling – Iops & Latency • 7+ Year Asset Lifecycle
• • No performance tech refreshes Xpect More Program
ABILITY TO EXECUTE
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XtremIO: 重新定义敏捷数据中心
闪存数据中心之旅！
Phase Three: Data Center Agility
Agile Infrastructure: Pooled storage Agile Intelligence: Real-time Analytics
• 移动全部数据为将来的写操作创 建连续空间 闪存的噩梦：性能下降、寿命受 损、性能一致性丧失 无法预知，无法控制，因而无法 保证服务级别（SLA） XtremIO 没问题！
•
•
•
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Product Overview
19
RANDOMIZE LOCATIONS FIND MATCHES
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134F871
XtremIO Content Addressing
INCOMING DATA STREAM AB45CB7 CA38C90 0325F7A F3AFBA3 963FE7B 963FE7B 20147A8
XtremIO X-Brick
集群搭建基本模块
Active Controller 1 Active Controller 2
CPU CORES
32
256GB RAM
2 x FC 2 x iSCSI SAS 2.0
Infiniband RDMA
256GB RAM
512
GB RAM
SAS 2.0
HOST PORTS
“AFA performance will vary significantly from fresh out of the box (FOB) and after the first write on every flash cell” *
- IDC (June 2013)
(Due to System-level Garbage Collection)
>$200,000,000 <8 months >70PB sold >500 customers >99.999% Reliability
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Gartner魔力四象限——市场领导者
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P
Uneven Resource Utilization
XTREMIO DOES NOT USE ANY OF THESE
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垃圾碎片整理机制
Remember disk defragmenting?
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0 1 2 3 4 5 6 7 8 9 A B C D E F
SHARED MEMORY METADATA
Unique User Data
SHARED MEMORY METADATA
RDMA FABRIC
SHARED MEMORY METADATA
Unique User Data
SHARED MEMORY METADATA
X-Brick 3
X-Brick 4
SHARED MEMORY METADATA
Phase One: Performance
Application acceleration
2008
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2013
2015
4
架构——至关重要
软件定义 水平扩展 实时在线、永不停歇的 数据服务
Unique User Data
SHARED MEMORY METADATA
X-Brick 2
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产品家族，线形水平扩展
900K MIXED IOPS 1.5M READ IOPS <1MS Latency
% of Storage Workloads Consolidated
Agile Innovation: Real-time Development
Applications services Consolidation economics Converged Infrastructure
Phase Two: Application & Data Services
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需要解决的是什么问题呢？
如何创造一个更快的 磁盘阵列?
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7
需要避免的五件事情！
XtremIO永不停歇的数据服务
Always-On, Inline, Zero Penalty, Free
ALWAYS-ON THIN PROVISIONING
I N L I N E D E D U P L I C A T I O N
INLINE COMPRESSION
XTREMIO DATA PROTECTION
Thin Provisioning D e d u p l i c a t i o n C o m p r e s s i o n Flash Data Protection E n c r y p t i o n
EMC 产品组合
VPLEX
RecoverPoint PowerPath
wk.baidu.com
SRM
sub 1ms latency
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紧耦合的集群架构是关键
TYPE
Scale Up
• Dual Controller • Shared Meta-Data
1
Tightly Coupled Scale-Out
• Multi-Controller Grid • Shared Meta-Data
TYPE
2
Loosely Coupled Why Scale-Out Scale Out
Writeable Snapshots
线形扩展的性能和容量
高效的数据消除
HA/DR, 管理, 融合
可持续的、可预知的性能 @ SCALE
(无系统级的垃圾回收)
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5
传统磁盘阵列设计对于闪存：
次优选择
INLINE DATA AT REST ENCRYPTION
AGILE WRITEABLE SNAPSHOTS
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在线的精简供应
• 优化的块分配，从不浪费
• • • •
永远在线 100% performance 完美的分配粒度 无碎片及空间回收惩罚
5 Common Things AFAs Borrow from Disk
Log Structuring Post-Process RAID Metadata De-stage Asymmetric Controllers
A
Par ity Par ity Par ity Par ity
Uneven SSD wear Performance inconsistency SSD Wear - Write Amplification Performance inconsistency P
VNX
VMAX
Isilon
XtremIO
Isilon • Superior Resiliency & Performance vSAN
•
N-Way Active/Active Architecture
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XtremIO基于内容的分配地址方式
INCOMING DATA STREAM AB45CB7 CA38C90 0325F7A F3AFBA3 963FE7B 963FE7B 20147A8
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XtremIO的设计诉求
简单
容易部署 无需性能调优
高效
实时在线永不停歇的数据消除 精简供应 出色的快照技术
始终如一
多控制器，水平扩展 完美的平衡 无系统级垃圾碎片处理
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XtremIO始终如一的性能
Other AFA’s suffer from high and very disruptive unpredictability
Unpredictable Performance Always Predictable & Consistent Make sure your AFA is pre-conditioned Before purchase
1 X-Brick
2 X-Bricks
4 X-Bricks
Click to get the free IDC “How to test a Flash Array” White Paper
8K Random Write IOPS
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