A Multi-agent Negotiation Based Service Composition Method for On-demand Service

  • Authors:
  • Jian Cao;Jie Wang;Shensheng Zhang;Minglu Li

  • Affiliations:
  • Department of Computer Science, Shanghai Jiaotong University, Shanghai, 200030, P.R.China;Department of Civil and Environment Engineering, Stanford University, CA 94305 , U.S.A.;Department of Computer Science, Shanghai Jiaotong University, Shanghai, 200030, P.R.China;Department of Computer Science, Shanghai Jiaotong University, Shanghai, 200030, P.R.China

  • Venue:
  • SCC '05 Proceedings of the 2005 IEEE International Conference on Services Computing - Volume 01
  • Year:
  • 2005

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Abstract

This paper provides a multi-agent negotiation based service composition approach to deal with end user on-demand service requirements. We introduce a system framework for service composition. In this framework, a workflow defines a generic and serviceindependent process model within which each service agent is able to select appropriate task node that fits for the end user requirement in run time. Specifically, agents will negotiate with one other to guarantee the satisfaction of the service consumers驴 requirements. This paper introduces a methodology of how to model a service composition as a constraint satisfaction problem and solve the problem by a multi-agent negotiation algorithm.