存储系统总体负载特征分析

Min Wang, Lu Xu
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引用次数: 2

摘要

本文分析了存储区域网络(SAN)等共享存储环境中多个I/O流的总体工作负载特征。在这些共享存储环境中,独立和分离的用户数据空间使得访问流交叉和本地化。为了评估整体存储性能或优化数据布局,了解这些流的总体工作负载特征非常重要,它们相互影响并影响整体系统性能。本文首次用数学方法分析了总工作量的访问模式和到达模式。由于泊松模型简洁、直观,因此对单流采用泊松模型。利用合成工作负载生成器进行仿真实验,验证了数学分析在假设条件下的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characteristics Analysis of Aggregate Workload on Storage System
In this paper we analyze aggregate workload characteristics of multiple I/O streams in shared storage environment such as storage area network (SAN). In these shared storage environments, independent and separate user data spaces make the access streams interleaved and localized. To evaluate overall storage performance or optimize data layout, it is important to understand aggregate workload characteristics of these streams which mutually influence and affect the overall system performance. We analyze access pattern and arrival pattern of aggregate workload by mathematics methods for the first time. The Poisson model is adopted for single stream since it is concise and straightforward. We validated that the mathematic analysis is accurate enough under our assumptions by simulation experiments using synthetic workload generator.
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