DocumentCode
1938037
Title
Resource Clustering Based Decentralized Resource Discovery Scheme in Computing Grid
Author
Wang, Xuan ; Kong, Ling-Fu
Author_Institution
Yanshan Univ., Qinhuangdao
Volume
7
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
3859
Lastpage
3863
Abstract
Resource discovery is one of the basic services in grid. In large-scale grid environment, traditional centralized resource discovery approaches limit scalability and result performance bottleneck. Based on the peer-to-peer protocol and the idea of resource clustering, a decentralized resource discovery scheme is introduced to overcome the deficiencies of the centralized resource discovery mechanism. Resources with the same resource type and the similar resource performance get together with the resource clusters that are the minimum units of resource management. Based on the resource clusters, the whole resource space is mapped into two index sub-spaces. A hierarchical and P2P hybrid resource discovery framework is developed to make advantage of the centralized and distributed topologies of the Internet. The algorithm of resource discovery is described. Theoretic analysis and simulation result show that this approach discovers desired resource efficiently.
Keywords
grid computing; pattern clustering; peer-to-peer computing; protocols; resource allocation; centralized topology; computing grid; decentralized resource discovery scheme; distributed topology; peer-to-peer protocol; resource clustering; Analytical models; Clustering algorithms; Grid computing; Internet; Large-scale systems; Peer to peer computing; Protocols; Resource management; Scalability; Topology; Grid; Peer-to-peer; Resource clustering; Resource discovery;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-0973-0
Electronic_ISBN
978-1-4244-0973-0
Type
conf
DOI
10.1109/ICMLC.2007.4370819
Filename
4370819
Link To Document