XIV(1)—Hardware Overview

简介:

  IBM XIV被业内称为革命性的新一代存储架构,它是采用了大规模并行的分布式网格存储技术,使用了“Scale out”(横向扩展)的存储架构,利用多路网格模块并行分担存储负荷,并通过细粒度数据分布算法保证数据的恒定均衡分布,它不但提高了系统的可靠性、可用性和存取效率,还易于扩展。

1,System models and components

Machine type 2812-A14    
Machine type 2810-A14     
Machine type 2812-114     
Machine type 2810-114

ZDONY095Y_W9OX5ZU_thumb1

IBM XIV-A14 Storage System components: Front and rear view [(also known as Generation 2 systems) ]

 

F905BLF_B7AXGDM0_thumb

IBM XIV-114 Storage System components: Front and rear view[also known as Gen3 systems]


2,Hardware elements

image12_thumb1

2.1,Modules     
Module是XIV中最基本的概念,有3种Module:

Data Modules--存数据,处理数据     
At a conceptual level, the Data Modules function as the elementary “building blocks” of the system, providing storage capacity, processing power, and caching, in addition to advanced system-managed services. The Data Module’s ability to share and manage system software and services are key elements of the physical architecture

Interface Modules--提供IO接口     
Interface Modules are equivalent to Data Modules in all aspects, with the following exceptions:     
In addition to disk, cache, and processing resources, Interface Modules are designed to include both Fibre Channel and iSCSI interfaces for host system connectivity, remote mirroring, and data migration activities.     

 

Module interconnect switches--连接各个Module     
The XIV Storage System contains a redundant switched network that transmits both data and metadata traffic between the modules. Traffic can flow in any of the following ways:     
Between two Interface Modules     
Between two Data Modules     
Between an Interface Module and a Data Module     

image15_thumb

Architectural overview


可以看到这个系统里有12个module,其中module10是fail状态

wKioL1XtWSLhULxRAAIxQT4V1YE702.jpgwKioL1XtWdvRaFs7AANGDvQt6Hs954.jpg

3, Scalability

Design principles     
The IBM XIV Storage System grid architecture, by virtue of its distributed topology and “off the shelf” Intel components, ensures that the following design principles are possible:


Performance:     
– The relative effect of the loss of a single component is minimized.     
– All modules are able to participate equally in handling the total workload.     
This design principle is true regardless of access patterns. The system architecture enables excellent load balancing, even if certain applications access certain volumes,or certain parts within a volume, more frequently.


Compatibility:     
– Modules consist of standard “off the shelf” components.     
Because components are not specifically engineered for the system, the resources and time required for the development of newer hardware technologies are minimized.     
This benefit, coupled with the efficient integration of computing resources into the grid architecture, enables the system to realize the rapid adoption of newer hardware technologies available without the need to deploy a whole new subsystem.


Scalability:     
– Computing resources can be dynamically changed     
– “Scaled out” by adding new modules to accommodate both new capacity and new performance demands     
– “Scaled up” by upgrading modules

image_thumb3_thumb1

IBM XIV Storage System scalable conceptual grid architecture

Proportional scalability     
Within the IBM XIV Storage System, each module contains all of the pertinent hardware elements that are necessary for a grid topology (processing, caching, and storage). All modules are connected through a scalable network. This aspect of the grid infrastructure enables the relative proportions of cache, processor, disk, and interconnect bandwidth to remain optimal even in the event that modules are added or removed:

Linear cache growth: The total system cache size and cache bandwidth increase linearly with disk capacity, because every module is a self-contained computing resource that houses its own cache. Note that the cache bandwidth scales linearly in terms of both host-to-cache and cache-to-disk throughput, and the close proximity of cache, processor, and disk is maintained.


Proportional interface growth: Interface Modules house Ethernet and Fibre Channel host interfaces and are able to access not only the local resources within the module, but also the entire system. With every Interface Module added, the system proportionally scales both the number of host interfaces and the bandwidth to the internal resources.


Constant switching capacity: The internal switching capacity is designed to scale proportionally as the system grows, preventing bottlenecks regardless of the number of modules. This capability ensures that internal throughput scales proportionally to capacity.


Embedded processing power: Because each module incorporates its own processing power in conjunction with cache and disk components, the ability of the system to perform processor-intensive tasks, such as aggressive prefetch caching, sophisticated cache updates, snapshot management, and data distribution, is always maintained regardless of of the system capacity.

 

参考书籍《SG24-7659-03,IBM XIV Storage System:Architecture, Implementation,and Usage》.





本文转自 taojin1240 51CTO博客,原文链接:http://blog.51cto.com/taotao1240/1571747,如需转载请自行联系原作者
目录
相关文章
|
3月前
|
存储 网络协议 Linux
Overview of Concepts
Overview of Concepts
44 1
|
Java API Spring
读书笔记系列 - Operating Systems: Three Easy Pieces - Virtualization - Chapter 4: Processes
读书笔记系列 - Operating Systems: Three Easy Pieces - Virtualization - Chapter 4: Processes
99 0
读书笔记系列 - Operating Systems: Three Easy Pieces - Virtualization - Chapter 4: Processes
《loTCandyJarTowards an Intelligent-Interaction Honeypot for loT Devices》电子版地址
loTCandyJar:Towards an Intelligent-Interaction Honeypot for loT Devices
87 0
《loTCandyJarTowards an Intelligent-Interaction Honeypot for loT Devices》电子版地址
|
存储 容器
SAP QM 高阶之Physical Sample Management(1)
SAP QM 高阶之Physical Sample Management(1)
SAP QM 高阶之Physical Sample Management(1)
|
SQL 编译器 API
Efficiently Compiling Efficient Query Plans for Modern Hardware 论文解读
这应该是SQL查询编译的一篇经典文章了,作者是著名的Thomas Neumann,主要讲解了TUM的HyPer数据库中对于CodeGen的应用。 在morsel-driven那篇paper 中,介绍了HyPer的整个执行框架,会以task为单位处理一个morsel的数据,而执行的处理逻辑(一个pipeline job)就被编译为一个函数。这篇paper则具体讲如何实现动态编译。
443 0
Efficiently Compiling Efficient Query Plans for Modern Hardware 论文解读
|
iOS开发 C++ 安全
带你读《计算机文化》之二:DIGITAL DEVICES
在全球信息化大潮的推动下,我国的计算机产业发展迅猛,对专业人才的需求日益迫切,而专业教材的建设在教育战略上显得举足轻重,因此,引进一批国外优秀计算机教材将对我国计算机教育事业的发展起到积极的推动作用,也是与世界接轨、建设真正的世界一流大学的必由之路。