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.
|Original language||English (US)|
|Title of host publication||2011 International Green Computing Conference and Workshops, IGCC 2011|
|State||Published - 2011|
|Event||2011 International Green Computing Conference, IGCC 2011 - Orlando, FL, United States|
Duration: Jul 25 2011 → Jul 28 2011
|Name||2011 International Green Computing Conference and Workshops, IGCC 2011|
|Other||2011 International Green Computing Conference, IGCC 2011|
|Period||7/25/11 → 7/28/11|
Bibliographical noteFunding Information:
This work was partially supported by grants from NSF (NSF Awards: 0960833 and 0934396), the National Basic Research 973 Program of China under Grant No. 2011CB302301 , NSFC No. 61025008 , 60933002 , 60873028 , Changjiang Innovative Group of Education of China No. IRT0725 .
Copyright 2011 Elsevier B.V., All rights reserved.
- buffer management
- disk energy
- energy efficient
- performance guarantee
- power cycle