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Energy-Efficient Cluster Computing via Accurate Workload Characterization

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2 Author(s)
Huang, S. ; Dept. of Comput. Sci., Virginia Tech, Blacksburg, VA ; Feng, W.

This paper presents an eco-friendly daemon that reduces power and energy consumption while better maintaining high performance via an accurate workload characterization that infers ldquoprocessor stall cycles due to off-chip activities.rdquo The eco-friendly daemon is an interval-based, run-time algorithm that uses the workload characterization to dynamically adjust a processorpsilas frequency and voltage to reduce power and energy consumption with little impact on application performance. Using the NAS Parallel Benchmarks as our workload, we then evaluate our eco-friendly daemon on a cluster computer. The results indicate that our workload characterization allows the power-aware daemon to more tightly control performance (5% loss instead of 11%) while delivering substantial energy savings (11% instead of 8%).

Published in:

Cluster Computing and the Grid, 2009. CCGRID '09. 9th IEEE/ACM International Symposium on

Date of Conference:

18-21 May 2009

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