Multiagent model for grid computing

  • Authors:
  • Qingkui Chen;Lichun Na

  • Affiliations:
  • School of Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China;Dept. of Information Science, Shanghai LIXIN University of Commerce, Shanghai, China

  • Venue:
  • PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
  • Year:
  • 2006

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Abstract

For supporting the grid computing in dynamic network environment, a multiagent model is proposed in this paper. A series of formal definitions, such as the architecture of the model, the dynamic network environment (DNE), the manage agent system, the independent computing agents (ICA) which support the traditional computing base on migration, the cooperation computing team (CCT) which supports the data parallel computing , and the relations among them are given. The dynamic learning method and the fuzzy partition technique for logical computer cluster, on which the CCT runs, are studied. The computing process is described. The experiment results show that this model resolves effectively the problems of optimization use of resources in DNE. It can be fit for grid computing.