NDLI: An Adaptive Model of Service Composition Based on Policy Driven and Multi-Agent Negotiation

Content Provider	IEEE Xplore Digital Library
Author	Jing-Fan Tang Xiao-Liang Xu
Copyright Year	2006
Description	Author affiliation: Coll. of Comput. Sci. & Technol., Hangzhou Dianzi Univ. (Jing-Fan Tang; Xiao-Liang Xu)
Abstract	This paper presents an adaptive model of service composition to achieve the optimum profits in the emerging services market, which is based on policy driven and multi-agent negotiation. The negotiation rules will be defined in the policies to determine the conditions for composition and cooperation, such as the accepted range of QoS with corresponding price charge. An agent group will be established to achieve the policy driven negotiation process for service composition, which includes policy agent, evaluation agent and action agent. Policy agent will be responsible for acquiring and parsing negotiation rules from pre-defined policies. Action agent will be responsible for the interactions among the services to reach an agreement. During the negotiation process, evaluation agent will be responsible for doing the evaluation on the bid information received from action agent according to the negotiation rules. And, the action instructions will be generated and sent to action agent for the negotiation on the bids provided by services. Through such policy driven and multi-agent negotiation approach, it can address win-win in the composition and cooperation of the services
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	113
Ending Page	118
File Size	196473
Page Count	6
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.258881
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Web services Educational institutions Computer science Electronic mail Logic XML Machine learning Cybernetics Conference management service negotiation Service composition policy driven multi-agent
Content Type	Text
Resource Type	Article

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