Evaluating disk idle behavior by leveraging disk schedulers
Evaluating disk idle behavior by leveraging disk schedulers
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DOI：
10.1007/s00607-011-0167-7
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发表时间：
2011
期刊：
影响因子：
3.7
通讯作者：
Yuhui Deng;Kai Li;Lingwei Zhang;Ming Fang;Xinyu Huang
中科院分区：
文献类型：
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作者：
Yuhui Deng;Kai Li;Lingwei Zhang;Ming Fang;Xinyu Huang
磁盘空闲行为对磁盘存储系统的能源效率有很大的影响。例如，准确地预测或延长磁盘所经历的空闲长度可以产生更多潜在的节能机会。本文采用跟踪驱动的模拟来评估不同的磁盘缓存器和队列长度阈值对磁盘空闲行为的影响。实验结果表明：（1）基于位置的排队器和长队列长度阈值可以显著降低最大队列长度和平均队列长度。(2)基于位置的缓存器和长队列长度阈值可以生成更多的短于1 s的空闲周期，但它们不会影响现代服务器工作负载中包含的长空闲周期。(3)磁盘空闲周期表现出自相似性和弱的长程相关性，磁盘空闲时间和队列长度阈值确实会影响Hurst参数和工作负载的相关行为。本文的分析结果为基于磁盘驱动器的存储系统设计和实施节能策略提供了有益的启示。
Disk idle behavior has a significant impact on the energy efficiency of disk storage systems. For example, accurately predicting or extending the idle length experienced by disks can generate more potential opportunities to save energy. This paper employs a trace driven simulation to evaluate the impacts of different disk schedulers and queue length thresholds on the disk idle behavior. Experimental results give three implications: (1) Position based schedulers and long queue length thresholds can significantly reduce the maximal queue length and the average queue length. (2) Position based schedulers and long queue length thresholds can generate more idle periods which are shorter than 1 s, but they do not affect those long idle periods contained in the modern server workloads. (3) Disk idle periods demonstrate both self-similarity and weak long-range dependence, and the disk schedulers and queue length thresholds do impact the Hurst parameter and the correlation behavior of the workloads. The analysis results in this paper provide useful insights for designing and implementing energy efficient policies for the disk drive based storage systems.