Computer Science Technical Reports
CS at VT

A Workload-Aware, Eco-Friendly Daemon for Cluster Computing

Huang, S. and Feng, W. (2008) A Workload-Aware, Eco-Friendly Daemon for Cluster Computing. Technical Report TR-08-25, Computer Science, Virginia Tech.

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This paper presents an eco-friendly daemon that reduces power consumption while better maintaining high performance via a novel behavioral quantification of workload. Specifically, our behavioral quantification achieves a more accurate workload characterization than previous approaches by inferring "processor stall cycles due to off-chip activities." This quantification, in turn, provides a foundation upon which we construct an interval-based, power-aware, run-time algorithm that is implemented within a system-wide daemon. We then evaluate our power-aware daemon in a cluster-computing environment with the NAS Parallel Benchmarks. The results indicate that our novel behavioral quantification of workload allows our power-aware daemon to more tightly control performance while delivering substantial energy savings.

Item Type:Departmental Technical Report
Subjects:Computer Science > Algorithms and Data Structure
ID Code:1053
Deposited By:Administrator, Eprints
Deposited On:16 December 2008