Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2004-12-31
Computer Science
Distributed, Parallel, and Cluster Computing
8 pages, 1 figure
Scientific paper
Existing attempts at utility computing revolve around two approaches. The first consists of proprietary solutions involving renting time on dedicated utility computing machines. The second requires the use of heavy, monolithic applications that are difficult to deploy, maintain, and use. We propose a distributed, community-oriented approach to utility computing. Our approach provides an infrastructure built on Web Services in which modular components are combined to create a seemingly simple, yet powerful system. The community-oriented nature generates an economic environment which results in fair transactions between consumers and providers of computing cycles while simultaneously encouraging improvements in the infrastructure of the computational grid itself.
Kiyanclar Nadir
Koenig Gregory A.
Treaster Michael
Yurcik William
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