Conceptual model of web service reputation
ACM SIGMOD Record
QoS computation and policing in dynamic web service selection
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Toward autonomic web services trust and selection
Proceedings of the 2nd international conference on Service oriented computing
Composition and evaluation of trustworthy Web Services
BSN '05 Proceedings of the IEEE EEE05 international workshop on Business services networks
Dynamic Selection of Web Services with Recommendation System
NWESP '05 Proceedings of the International Conference on Next Generation Web Services Practices
Minimum payments that reward honest reputation feedback
EC '06 Proceedings of the 7th ACM conference on Electronic commerce
A survey of trust and reputation systems for online service provision
Decision Support Systems
Web Service Recommendation Based on Client-Side Performance Estimation
ASWEC '07 Proceedings of the 2007 Australian Software Engineering Conference
A Review on Trust and Reputation for Web Service Selection
ICDCSW '07 Proceedings of the 27th International Conference on Distributed Computing Systems Workshops
Self-healing BPEL processes with Dynamo and the JBoss rule engine
International workshop on Engineering of software services for pervasive environments: in conjunction with the 6th ESEC/FSE joint meeting
Proactive Runtime Service Discovery
SCC '08 Proceedings of the 2008 IEEE International Conference on Services Computing - Volume 1
Transparent Reputation Management for Composite Web Services
ICWS '08 Proceedings of the 2008 IEEE International Conference on Web Services
Towards dynamic monitoring of WS-BPEL processes
ICSOC'05 Proceedings of the Third international conference on Service-Oriented Computing
A taxonomy of trust oriented approaches for services computing
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
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REMAN is a reputation management infrastructure for composite Web services. It supports the aggregation of client feedback on the perceived QoS of external services, using reputation mechanisms to build service rankings. Changes in rankings are pro-actively notified to composite service clients to enable self-tuning properties in their execution.