IEEE Internet Computing
ICEIMT '01 Proceedings of the IFIP TC5/WG5.12 International Conference on Enterprise Integration and Modeling Technique: Enterprise Inter- and Intra-Organizational Integration: Building International Consensus
Overview of some patterns for architecting and managing composite web services
ACM SIGecom Exchanges
QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
QoS computation and policing in dynamic web service selection
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Service Selection Algorithms for Web Services with End-to-End QoS Constraints
CEC '04 Proceedings of the IEEE International Conference on E-Commerce Technology
Composing Web Services: A QoS View
IEEE Internet Computing
Challenges and solutions in enterprise computing
Enterprise Information Systems - Challenges and Solutions in Enterprise Computing - 11th International IEEE EDOC Conference (EDOC 2007)
GOS: a global optimal selection strategies for QoS-aware web services composition
Service Oriented Computing and Applications
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Service composition has been recognized as a flexible way for resource sharing and application integration. Quality of service (QoS) is an important issue for composite services. In this paper, we address the issue of component services selection to ensures their composition satisfy given QoS constraints. We propose the concept of reduction tree as a general scheme to aggregate multi-dimensional quality. And then a heuristic algorithm MCSC_HEU is presented to find execution plans satisfying multiple QoS constrains, with the main idea of evaluating partial plans by a heuristic function during the course of reduction. The time complexity of MCSC_HEU is of polynomial level. Extensive evaluations show that MCSC_HEU succeeds in finding feasible plans with very high probability but demands much less time than exhausting search. So it is an efficient solution for QoS aware service selection with multiple constrains.