A QoS Broker Based Architecture for Efficient Web Services Selection
ICWS '05 Proceedings of the IEEE International Conference on Web Services
Quality Driven Web Services Selection
ICEBE '05 Proceedings of the IEEE International Conference on e-Business Engineering
CW '05 Proceedings of the 2005 International Conference on Cyberworlds
QoS Model and Testing Mechanism for Quality-driven Web Services Selection
SEUS-WCCIA '06 Proceedings of the The Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, and the Second International Workshop on Collaborative Computing, Integration, and Assurance (SEUS-WCCIA'06)
A Framework for Optimal Service Selection in Broker-Based Architectures with Multiple QoS Classes
SCW '06 Proceedings of the IEEE Services Computing Workshops
A Review on Trust and Reputation for Web Service Selection
ICDCSW '07 Proceedings of the 27th International Conference on Distributed Computing Systems Workshops
Verity: a QoS metric for selecting Web services and providers
WISEW'03 Proceedings of the Fourth international conference on Web information systems engineering workshops
QoS-Based service selection and ranking with trust and reputation management
OTM'05 Proceedings of the 2005 Confederated international conference on On the Move to Meaningful Internet Systems - Volume >Part I
QoS-Aware composition of web services: an evaluation of selection algorithms
OTM'05 Proceedings of the 2005 Confederated international conference on On the Move to Meaningful Internet Systems - Volume >Part I
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Service Oriented Architecture (SOA) has become a promising paradigm for software development due to its benefits in cost-efficiency, agility, and adaptability. One of the most important research topics in SOA is to identify appropriate web services for a service composition so as to fulfill business requirements. Services selection focuses on selecting best services among a bunch of services with same or similar functions but having different QoS (Quality of Service). Many previous approaches have been proposed to optimize service selection. However, in current research, quality values normally come from service providers, who have high possibility to exaggerate these data for advertisement. In addition, we also argue that reputation based on an average user rating is not enough to indicate the trust degree of web services and service provider. In this paper, we focus on solving these problems. First we describe a QoS broker-based service selection scenario. Based on the scenario, we propose a Trust model, which includes QoS model, decision model and trust correction. We apply a statistical method of Paired t-test to model trust correction. By experiments, we verify that web service capacity and trust corrections have significant effects on web service selection. We also verify that the proposed approach is better than traditional approaches in terms of consumer satisfaction degree on selected web services.