Using case-based reasoning for improving precision and recall in web services selection
International Journal of Web and Grid Services
A robust methodology for prediction of trust and reputation values
Proceedings of the 2008 ACM workshop on Secure web services
An Agent-Based Web Service Composition Using Semantic Information and QoS
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Towards QoS-Based Web Services Discovery
Service-Oriented Computing --- ICSOC 2008 Workshops
A framework for QoS-based Web service contracting
ACM Transactions on the Web (TWEB)
Achieving Predictability and Service Differentiation in Web Services
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
SALSA: QoS-aware load balancing for autonomous service brokering
Journal of Systems and Software
Learning-based trust model for optimization of selecting web services
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Reference architectural styles for service-oriented computing
NPC'07 Proceedings of the 2007 IFIP international conference on Network and parallel computing
Contemporary web service discovery mechanisms
Journal of Web Engineering
SOAP request scheduling for differentiated quality of service
WISE'05 Proceedings of the 2005 international conference on Web Information Systems Engineering
Best web service selection based on the decision making between qos criteria of service
ICESS'05 Proceedings of the Second international conference on Embedded Software and Systems
ICESS'04 Proceedings of the First international conference on Embedded Software and Systems
A framework to support qos-aware usage of web services
ICWE'05 Proceedings of the 5th international conference on Web Engineering
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QoS (Quality of Service) support in Web services isan important issue. In this paper, we present a QoS-capableweb service architecture, QCWS, byintroducing a QoS broker module between serviceclients and providers (servers). The functions of theQoS broker module include collecting QoS informationabout servers, making selection decisions for clients,and negotiating with servers to get QoS commitments.We propose two resource allocation algorithms (HQand RQ) used by QoS broker when broker acts as thefront-end of a server. The goals of algorithms are tomaximize the server resource usage while minimizingthe QoS instability for each client. The QoSperformance and instability tradeoffs of bothalgorithms are studied by simulation.