Introduction to Multiagent Systems
Introduction to Multiagent Systems
A Multi-agent Negotiation Based Service Composition Method for On-demand Service
SCC '05 Proceedings of the 2005 IEEE International Conference on Services Computing - Volume 01
A multi-agent system for service discovery, selection and negotiation
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
RELAX: a language to address uncertainty in self-adaptive systems requirement
Requirements Engineering - RE'09 Special Issue; Guest Editor:Kevin T Ryan
WSB: a broker-centric framework for quality-driven web service discovery
Software—Practice & Experience
An Adaptive and Intelligent SLA Negotiation System for Web Services
IEEE Transactions on Services Computing
MACOCO: A Discoverable Component Composition Framework Using a Multiagent System
SCCC '10 Proceedings of the 2010 XXIX International Conference of the Chilean Computer Science Society
SCC '11 Proceedings of the 2011 IEEE International Conference on Services Computing
Self-Adaptive Fuzzy QoS-Driven Web Service Discovery
SCC '11 Proceedings of the 2011 IEEE International Conference on Services Computing
From Virtual Organizations to Self-Organizing Web Service Compositions
SCCC '11 Proceedings of the 2011 30th International Conference of the Chilean Computer Science Society
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By wrapping services as active software agents, constantly bidding to consumers' requests, self-organizing web service compositions can become real. But they still lack a negotiation capability. In this paper, we add to our Multiagent component composition system (MACOCO) the negotiation behavior of non-functional requirements, by implementing a modified version of the Zeuthen strategy, which allows both parties to get a fair agreement without knowing the utility function of the counterpart. We study the tradeoff of extra overhead versus a fair agreement, showing the feasibility and performance of this approach. A web prototype tool is available.