Name
Title | ||
|---|---|---|
Reducing energy consumption in distributed computing through economic resource allocation |
Abstract | ||
|---|---|---|
Energy consumption is an increasingly important consideration in computing. High-performance computing environments consume substantial amounts of energy and the cost of energy is increasing. We explore the possibility of reducing the energy consumption of a grid of heterogeneous computers through appropriate resource allocation strategies. We examine a number of possible grid workload scenarios and analyse the impact of different resource allocation mechanisms on energy consumption and time taken to execute tasks. We perform this analysis first on a cluster of heterogeneous nodes and then scale up the experiment to a grid of multiple clusters. Our results show that different resource allocation mechanisms perform better under different scenarios, and that selection of the resource allocation mechanism can significantly alter grid energy consumption. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1504/IJGUC.2013.057117 | IJGUC |
Keywords | Field | DocType |
high-performance computing environment,energy consumption,resource allocation mechanism,different scenario,heterogeneous node,possible grid workload scenario,appropriate resource allocation strategy,grid energy consumption,economic resource allocation,heterogeneous computer,different resource allocation mechanism,resource allocation,distributed computing,green it,grid computing,energy conservation,high performance computing | Energy conservation,Grid computing,Green computing,Supercomputer,Workload,Computer science,Resource allocation,Energy consumption,Grid,Distributed computing | Journal |
Volume | Issue | ISSN |
4 | 4 | 1741-847X |
Citations | PageRank | References |
6 | 0.44 | 21 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Timothy M. Lynar | 1 | 25 | 3.49 |
| Simon | 2 | 320 | 40.39 |
| Ric D. Herbert | 3 | 34 | 7.69 |
| William J. Chivers | 4 | 25 | 3.90 |