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10th International Symposium on High Performance Computer Architecture (HPCA'04)   p. 118
Reducing Energy Consumption of Disk Storage Using Power-Aware Cache Management
Qingbo Zhu, University of Illinois at Urbana Champaign
Francis M. David, University of Illinois at Urbana Champaign
Christo F. Devaraj, University of Illinois at Urbana Champaign
Zhenmin Li, University of Illinois at Urbana Champaign
Yuanyuan Zhou, University of Illinois at Urbana Champaign
Pei Cao, Cisco Systems Inc.

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HPCA.2004.10022
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Abstract
Reducing energy consumption is an important issue for data centers. Among the various components of a data center, storage is one of the biggest consumers of energy. Previous studies have shown that the average idle period for a server disk in a data center is very small compared to the time taken to spin down and spin up. This significantly limits the effectiveness of disk power management schemes. This paper proposes several power-aware storage cache management algorithms that provide more opportunities for the underlying disk power management schemes to save energy. More specifically, we present an off-line power-aware greedy algorithm that is more energy-efficient than Belady’s off-line algorithm (which minimizes cache misses only). We also propose an online power-aware cache replacement algorithm. Our trace-driven simulations show that, compared to LRU, our algorithm saves 16% more disk energy and provides 50% better average response time for OLTP I/O workloads. We have also investigated the effects of four storage cache write policies on disk energy consumption.
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Citation:  Qingbo Zhu, Francis M. David, Christo F. Devaraj, Zhenmin Li, Yuanyuan Zhou, Pei Cao, "Reducing Energy Consumption of Disk Storage Using Power-Aware Cache Management," hpca, p. 118,  10th International Symposium on High Performance Computer Architecture (HPCA'04),  2004