DocumentCode
2793610
Title
Proxy-based Grid Information Dissemination
Author
Erdil, Deger Cenk ; Lewis, Michael J. ; Abu-Ghazaleh, Nael B.
Author_Institution
Dept. of Comput. Sci., State Univ. of New York, Binghamton, NY
fYear
2007
fDate
26-30 March 2007
Firstpage
1
Lastpage
8
Abstract
Resource scheduling in large-scale, volatile desktop grids is challenging because resource state is both dynamic and eclectic. Matching available resources with requests is not always possible with existing approaches. Partial dissemination protocols, such as gossiping, may provide efficient schedules when resource requesters are located near providers that can meet their needs. However, when requesters are distant from available resources, regular information dissemination techniques can waste communication bandwidth with futile messages. Thus, it may be advantageous to attempt to advertise to select remote regions of the grid, without necessarily also going through all intermediate nodes. This paper proposes dissemination proxies to increase coverage footprints and reduce dissemination overhead. We incorporate selecting and adjusting the amount of proxy nodes into an adaptive dissemination algorithm, and show that dissemination proxies are able to reduce dissemination overhead, and handle available resource distribution scenarios where regular information dissemination approaches may not produce efficient protocols. We also report initial results that indicate that randomly selecting nodes to serve as proxies can perform as well as strategies that select seemingly better-qualified proxies.
Keywords
grid computing; information dissemination; resource allocation; scheduling; adaptive dissemination algorithm; proxy-based grid information dissemination; resource distribution scenarios; resource scheduling; volatile desktop grids; Bandwidth; Computer science; Costs; Dynamic scheduling; Frequency; Large-scale systems; Processor scheduling; Protocols; Resource management; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International
Conference_Location
Long Beach, CA
Print_ISBN
1-4244-0910-1
Electronic_ISBN
1-4244-0910-1
Type
conf
DOI
10.1109/IPDPS.2007.370670
Filename
4228398
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