Performance Evaluation of Data Migration Policies for a Distributed Storage System with Dynamic Tiering

Atsushi Nunome, Hiroaki Hirata
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引用次数: 2

Abstract

Recent years, even client nodes can easily have enough storage area owing to the spread of inexpensive storage devices. In many cases, the large amount of an unused storage area is left on storage devices over the network. It is important to utilize such fragmented unused storage area. Hence, we have for our object to build an environment which not only file servers but also client nodes can provide their surplus storage area as public storage. However, such computing environment has essentially heterogeneity. The heterogeneity of the system causes difficulty for properly allocating data blocks onto the storage devices. We consider that system heterogeneity is brought by even a dynamic aspect. It means that both a static aspect (e.g. differences of hardware configuration) and a dynamic aspect (e.g. imbalance of I/O workload) make such heterogeneity. This dynamic heterogeneity is not able to be solved statically. Therefore, data blocks should be located on a suitable storage device according to their access patterns at runtime. For example, frequently accessed data blocks are better to locate on high-performance storage, and it may cause no inconvenience when rarely accessed data blocks are located on low-performance storage. However, such location optimization in accordance with access patterns of data blocks makes the burden too heavy for system administrators.
基于动态分级的分布式存储系统数据迁移策略性能评估
近年来,由于廉价存储设备的普及,甚至客户机节点也可以轻松地拥有足够的存储空间。在许多情况下,大量未使用的存储区域通过网络留在存储设备上。利用这种碎片化的未使用存储区域是很重要的。因此,我们必须为我们的对象构建一个环境,使文件服务器和客户端节点都可以将其剩余存储区域提供为公共存储。然而,这种计算环境本质上具有异构性。系统的异构性导致数据块难以在存储设备上合理分配。我们认为系统的异质性甚至是由一个动态方面带来的。这意味着静态方面(例如硬件配置的差异)和动态方面(例如I/O工作负载的不平衡)都会产生这种异构性。这种动态非均质性是无法用静态方法解决的。因此,应该根据数据块在运行时的访问模式,将其定位到合适的存储设备上。例如,访问频率高的数据块最好放在高性能存储上,访问频率低的数据块放在低性能存储上可能不会造成不便。但是,这种根据数据块的访问模式进行位置优化,对系统管理员来说负担过重。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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