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DiscPOP: Power-aware buffer management for disk accesses

机译:DiscPOP:用于磁盘访问的功耗感知缓冲区管理

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Much research has been conducted on energy efficient cache buffer management for disk based storage systems. Some of them use greedy prefetching technique to artificially increase disk idle intervals if there are a large number of known future requests. However, this might result in sub-optimal solution by not exploiting the relationship between I/O access pattern (sequential/random) and application pattern (CPU required for computing time). In a CPU-bound application, by explicitly taking into account this relationship it may reduce energy conservation by up to 50% and increase power cycle number by 100% compared to an existing efficient prefetching scheme without this consideration. In this paper, we consider the tradeoff between disk power consumption, performance guarantee and disk reliability all together by proposing a Disk characteristic based Power-Optimal Prefetching (DiscPOP) scheme. Specifically, we make two contributions: (i) A theoretical model is conducted to analyze energy-efficient cache buffer management in disk I/O system and it is formulated as an optimization problem. We have shown it can be solved via an Integer Linear Programming (ILP) technique. (ii) We propose a simple Divide-and-Conquer based offline algorithm named Greedy Partition (GP) to divide the problem into several small ones and solve them separately via an ILP solver. We use trace-driven simulations to evaluate our proposed scheme. The results show GP outperforms the traditional aggressive prefetching by up to 29.2% more disk energy conservation and 20.6% power cycle reduction.
机译:已经针对基于磁盘的存储系统进行了高能效的高速缓存缓冲区管理的大量研究。如果存在大量已知的未来请求,则其中一些会使用贪婪的预取技术人为地增加磁盘空闲间隔。但是,这可能导致未通过利用I / O访问模式(顺序/随机)和应用程序模式(计算时间所需的CPU)之间的关系而导致次优解决方案。与不考虑这一点的现有高效预取方案相比,在CPU密集型应用程序中,通过明确考虑这一关系,可以将节能量最多降低50%,并可以将电源循环次数提高100%。在本文中,我们通过提出基于磁盘特性的功耗优化预取(DiscPOP)方案,综合考虑了磁盘功耗,性能保证和磁盘可靠性之间的折衷。具体来说,我们做出两个贡献:(i)进行了理论模型分析,以分析磁盘I / O系统中的高能效缓存缓冲区管理,并将其表述为优化问题。我们已经证明可以通过整数线性规划(ILP)技术解决该问题。 (ii)我们提出了一种简单的基于分治法的离线算法,称为Greedy Partition(GP),将问题分为几个小问题,并通过ILP求解器分别解决。我们使用跟踪驱动的仿真来评估我们提出的方案。结果表明,GP比传统的主动预取性能高出29.2%以上的磁盘节能量,并减少了20.6%的电源循环。

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