DocumentCode
3064857
Title
Integrating Genetic and Ant Algorithm into P2P Grid Resource Discovery
Author
Xiong, Zenggang ; Yang, Yang ; Zhang, Xuemin ; Chen, Fu ; Liu, Li
Author_Institution
Univ. of Sci. & Technol. Beijing, Beijing
Volume
2
fYear
2007
fDate
26-28 Nov. 2007
Firstpage
83
Lastpage
86
Abstract
Grid computing and peer-to-peer computing are both hot topics at present. The convergence of the two systems is increasingly visible, and OGSA provides a framework for integrating grid and peer to peer. However, grid resource discovery is a key issue for peer-to-peer grid. In contrast with the traditional grid resource discovery algorithm, genetic ant algorithm firstly uses genetic algorithm to find the coarsest GridPeer resources quickly, then to find accurate resources through the ant algorithm. Theoretical analysis and simulations prove that genetic ant algorithm in peer-to-peer grid can improve the performance of resource discovery.
Keywords
genetic algorithms; grid computing; peer-to-peer computing; GridPeer resources; ant algorithm; genetic algorithm; grid computing; peer-to-peer computing; resource discovery; Algorithm design and analysis; Analytical models; Feedback; Genetic algorithms; Grid computing; Information analysis; Peer to peer computing; Performance analysis; Query processing; Standards organizations;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Hiding and Multimedia Signal Processing, 2007. IIHMSP 2007. Third International Conference on
Conference_Location
Kaohsiung
Print_ISBN
978-0-7695-2994-1
Type
conf
DOI
10.1109/IIH-MSP.2007.215
Filename
4457659
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