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Intelligent Service Discovery
Abstract
The claim of improved efficiency and reliability of networking technology provides for a framework of service discovery where clients connect to services over the network based on a comparison of the client’s requirements with the advertised capabilities of those services. Basic service discovery in Jini involves an exact pattern match between attributes in the clients requirement description and the services’ capability description. Advanced service discovery should allow for comparative pattern matching using attributes that measure aspects of a service and offer the client a far more refined power to choose the best services for them. This paper proposes a framework of intelligent service discovery using a generic constraint satisfaction problem solving architecture that uses comparative pattern matching and allows search algorithms to be used as library components.
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