NDLI: DiscPOP: Power-aware buffer management for disk accesses

Content Provider	IEEE Xplore Digital Library
Author	Xiongzi Ge Dan Feng Du, D.H.C.
Copyright Year	2011
Description	Author affiliation: Department of Computer Science and Engineering, University of Minnesota, Twin Cities, USA (Du, D.H.C.) \|\| School of Computer, Huazhong University of Science and Technology, China, Wuhan National Lab for Optoelectronics (Xiongzi Ge; Dan Feng)
Abstract	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.
Starting Page	1
Ending Page	6
File Size	325108
Page Count	6
File Format	PDF
ISBN	9781457712227
e-ISBN	9781457712210
DOI	10.1109/IGCC.2011.6008590
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Barium Power demand Prefetching Power cycle Partitioning algorithms ILP Delay Disk energy Hard disks Buffer management Performance guarantee Energy efficiency Energy efficient
Content Type	Text
Resource Type	Article

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