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PB-LRU: a self-tuning power aware storage cache replacement algorithm for conserving disk energy
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International Conference on Supercomputing archive
Proceedings of the 18th annual international conference on Supercomputing table of contents
Malo, France
SESSION: Input/Output table of contents
Pages: 79 - 88  
Year of Publication: 2004
ISBN:1-58113-839-3
Authors
Qingbo Zhu  University of Illinois at Urbana Champaign, Urbaba, IL
Asim Shankar  University of Illinois at Urbana Champaign, Urbaba, IL
Yuanyuan Zhou  University of Illinois at Urbana Champaign, Urbaba, IL
Sponsors
SIGARCH: ACM Special Interest Group on Computer Architecture
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

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CITED BY  15

Collaborative Colleagues:
Qingbo Zhu: colleagues
Asim Shankar: colleagues
Yuanyuan Zhou: colleagues