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ABSTRACT
Energy consumption is an important concern at data centers, where storage systems consume a significant fraction of the total energy. A recent study proposed power-aware storage cache management to provide more opportunities for the underlying disk power management scheme to save energy. However, the on-line algorithm proposed in that study requires cumbersome parameter tuning for each workload and is therefore difficult to apply to real systems.This paper presents a new power-aware on-line algorithm called PB-LRU (Partition-Based LRU) that requires little parameter tuning. Our results with both real system and synthetic workloads show that PB-LRU without any parameter tuning provides similar or even better performance and energy savings than the previous power-aware algorithm with the best parameter setting for each workload.
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[doi> 10.1109/HPCA.2004.10022]
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CITED BY 15
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Xiaodong Li , Zhenmin Li , Francis David , Pin Zhou , Yuanyuan Zhou , Sarita Adve , Sanjeev Kumar, Performance directed energy management for main memory and disks, ACM SIGARCH Computer Architecture News, v.32 n.5, December 2004
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