DocumentCode :
2440850
Title :
Research of Grid Resource Discovery Method Based on Adjacency List and Ant Colony Algorithm
Author :
Zhu, Youchan ; Xu, Weiqiang ; Shen, Pengfei
Author_Institution :
Network Manage. Center, North China Electr. Power Univ., Baoding, China
Volume :
1
fYear :
2009
fDate :
26-27 Aug. 2009
Firstpage :
201
Lastpage :
205
Abstract :
Grid is commonly considered as next generation network. Resource discovery is the key requirements in large heterogeneous grid environments, and an effective and efficient resource discovery mechanism is crucial. Base on centering resource discovery and distributed resource discovery methods, a hierarchical resource discovery method is proposed. Agent technology is used in every layer. Resource adjacency list as a kind of centering resource discovery method is used in the supernode of every VO. But in the middle of the supernodes of P2P layer, we use ant colony algorithm as distributed resource discovery method.
Keywords :
distributed algorithms; grid computing; groupware; multi-agent systems; optimisation; peer-to-peer computing; resource allocation; P2P layer supernode; VO; agent technology; ant colony optimization algorithm; centering resource discovery method; distributed resource discovery mechanism; grid resource discovery method; hierarchical resource discovery method; large heterogeneous grid environment; next-generation network; resource adjacency list; virtual organization; Conference management; Energy management; Environmental management; Human resource management; Intelligent networks; Intelligent systems; Internet; Power system management; Power systems; Resource management; Adjacency Lis; Ant Colony Algrithm; grid; resource discovery; virtual organization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on
Conference_Location :
Hangzhou, Zhejiang
Print_ISBN :
978-0-7695-3752-8
Type :
conf
DOI :
10.1109/IHMSC.2009.58
Filename :
5336088
Link To Document :
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