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
Link To Document :
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