A Workload-Aware, Eco-Friendly Daemon for Cluster Computing
| dc.contributor.author | Huang, S. | en |
| dc.contributor.author | Feng, Wu-chun | en |
| dc.contributor.department | Computer Science | en |
| dc.date.accessioned | 2013-06-19T14:35:42Z | en |
| dc.date.available | 2013-06-19T14:35:42Z | en |
| dc.date.issued | 2008 | en |
| dc.description.abstract | 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. | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier | http://eprints.cs.vt.edu/archive/00001053/ | en |
| dc.identifier.sourceurl | http://eprints.cs.vt.edu/archive/00001053/01/ccgrid09ecod.pdf | en |
| dc.identifier.trnumber | TR-08-25 | en |
| dc.identifier.uri | http://hdl.handle.net/10919/19951 | en |
| dc.language.iso | en | en |
| dc.publisher | Department of Computer Science, Virginia Polytechnic Institute & State University | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject | Algorithms | en |
| dc.subject | Data structures | en |
| dc.title | A Workload-Aware, Eco-Friendly Daemon for Cluster Computing | en |
| dc.type | Technical report | en |
| dc.type.dcmitype | Text | en |
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