REGRET: reputation in gregarious societies
Proceedings of the fifth international conference on Autonomous agents
An evidential model of distributed reputation management
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Personalized location-based brokering using an agent-based intermediary architecture
Decision Support Systems - Special issue: Agents and e-commerce business models
A Social Mechanism of Reputation Management in Electronic Communities
CIA '00 Proceedings of the 4th International Workshop on Cooperative Information Agents IV, The Future of Information Agents in Cyberspace
A method for transparent admission control and request scheduling in e-commerce web sites
Proceedings of the 13th international conference on World Wide Web
Reputation = f(User Ranking, Compliance, Verity)
ICWS '04 Proceedings of the IEEE International Conference on Web Services
QoS computation and policing in dynamic web service selection
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Defining and Monitoring Service-Level Agreements for Dynamic e-Business
LISA '02 Proceedings of the 16th USENIX conference on System administration
A survey of trust and reputation systems for online service provision
Decision Support Systems
Managing QoS through prioritization in web services
WISEW'03 Proceedings of the Fourth international conference on Web information systems engineering workshops
QoS assessment of providers with complex behaviours: an expectation-based approach with confidence
ICSOC'06 Proceedings of the 4th international conference on Service-Oriented Computing
Hi-index | 0.00 |
The selection of web services is typically based on performance (or perception of performance) in past invocations. Instead of using the entire history of invocations in evaluating the performance of services, we use a portion of the history, selected with respect to the current user request. To facilitate this selection, we establish that it is feasible to infer the requirements and preferences of the users from the SLA.