Service Location Protocol: Automatic Discovery of IP Network Services
IEEE Internet Computing
Enterprise SOA: Service-Oriented Architecture Best Practices (The Coad Series)
Enterprise SOA: Service-Oriented Architecture Best Practices (The Coad Series)
A survey of skin-color modeling and detection methods
Pattern Recognition
Web Service Discovery - Reality Check 2.0
NWESP '07 Proceedings of the Third International Conference on Next Generation Web Services Practices
Service-Oriented Architectures Testing: A Survey
Software Engineering
Cloud Application Architectures: Building Applications and Infrastructure in the Cloud
Cloud Application Architectures: Building Applications and Infrastructure in the Cloud
A framework for context-aware services using service customizer
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
Client-side service composition using generic service representative
Proceedings of the 2010 Conference of the Center for Advanced Studies on Collaborative Research
Overview of the smart internet
The smart internet
Modeling service representatives in enterprise systems using generic agents
Service Oriented Computing and Applications
A simple approach for testing web service based applications
IICS'05 Proceedings of the 5th international conference on Innovative Internet Community Systems
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As the number of web services that offer similar functionality increases, more sophisticated techniques for service discovery and selection will be needed. Traditional approaches compare web services based on their description published in service registries which include QoS and price/performance ratios, as well as adaptability. This information is generated by the service developer and may not be fully trustable by the client. Moreover, alternative services perform differently in different client contexts that cannot be determined accurately by service descriptors. In this paper, we propose a novel service selection approach that compares alternative services based on their performance in a specific client context. For this purpose, we extend the SOA infrastructure model through a component named the competition desk, that holds a competition among alternative services taken from the service client. As a result, clients can choose the service that works best for their needs.