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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jik-Soo Kim Beomseok Nam Keleher, P. Marsh, M. Bhattacharjee, B. Sussman, A. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Comput. Sci., Maryland Univ., College Park, MD (Jik-Soo Kim; Beomseok Nam; Keleher, P.; Marsh, M.; Bhattacharjee, B.; Sussman, A.) |
| 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 on the experimental results obtained via simulation 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 |
| Starting Page | 9 |
| Ending Page | 16 |
| File Size | 194418 |
| Page Count | 8 |
| File Format | |
| ISBN | 142440343X |
| DOI | 10.1109/ICGRID.2006.310992 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-09-28 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Content Type | Text |
| Resource Type | Article |
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