Resource Discovery Techniques in Distributed Desktop Grid Environments

In The 7th IEEE/ACM International Conference on Grid Computing, September 2006.

Jik-Soo Kim, Beomseok Nam, Peter Keleher, Michael Marsh, Bobby Bhattacharjee and Alan Sussman



Abstract:
Desktop grids use opportunistic sharing to exploit large collections of personal computers and workstations across the Internet, achieving tremendous computing power at low cost. Traditional desktop grid systems are typically based on a client-server architecture, which has inherent shortcomings with respect to robustness, reliability and scalability.

In this paper, we propose a decentralized, robust, highly available, and scalable infrastructure to match incoming jobs to available resources. Through a comparative analysis of three different types of matchmaking algorithms under different workload scenarios, we show the trade-offs between efficient matchmaking and good load balancing in a fully decentralized heterogeneous computational environment.


@inProceedings{grid06,
	title = "Resource Discovery Techniques in Distributed Desktop Grid Environments",
	author = "Jik-Soo Kim and Beomseok Nam and Peter Keleher and Michael Marsh and Bobby Bhattacharjee and Alan Sussman",
	booktitle = {The 7th IEEE/ACM International Conference on Grid Computing},
	month = {September},
	year = {2006},
}


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