Reducing energy consumption in distributed computing through economic resource allocation. (1st January 2013)

• Record Type: Journal Article
• Authors: Lynar, Timothy M.; Herbert, Ric D.; Chivers, William J.
• Is Part Of: International journal of grid and utility computing. Volume 4:Number 4(2013)
• Page Start: 231
• Page End: 241
• Publication Date: 2013-01-01
• Subjects: grid computing -- resource allocation -- auction -- energy consumption -- energy conservation -- green IT -- high-performance computing -- distributed computing; Electronic data processing -- Distributed processing -- Periodicals; Electronic commerce -- Management -- Computer programs -- Periodicals; 004.605
• Languages: English
• ISSNs: 1741-847X

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.