TY - CONF T1 - Resource Discovery Techniques in Distributed Desktop Grid Environments T2 - Proceedings of the 7th IEEE/ACM International Conference on Grid Computing Y1 - 2006 A1 - Kim,Jik-Soo A1 - Nam,Beomseok A1 - Keleher,Peter A1 - Marsh,Michael A1 - Bhattacharjee, Bobby A1 - Sussman, Alan AB - 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 effcient matchmaking and good load balancing in a fully decentralized, heterogeneous computational environment. JA - Proceedings of the 7th IEEE/ACM International Conference on Grid Computing T3 - GRID '06 PB - IEEE Computer Society CY - Washington, DC, USA SN - 1-4244-0343-X UR - http://dx.doi.org/10.1109/ICGRID.2006.310992 M3 - 10.1109/ICGRID.2006.310992 ER -