IEEE Internet Computing
Reputation = f(User Ranking, Compliance, Verity)
ICWS '04 Proceedings of the IEEE International Conference on Web Services
Web services on demand: WSLA-driven automated management
IBM Systems Journal
Toward autonomic web services trust and selection
Proceedings of the 2nd international conference on Service oriented computing
The Knowledge Engineering Review
Relevant Past Performance for Selecting Web Services
QSIC '05 Proceedings of the Fifth International Conference on Quality Software
A Multiple Quality-Space Mapping Approach to QoS Assessment
CIT '06 Proceedings of the Sixth IEEE International Conference on Computer and Information Technology
Expectation-based quality of service assessment
International Journal on Digital Libraries - Special issue on Service-Oriented Computing
Web services QoS: external SLAs and internal policies or: how do we deliver what we promise?
WISEW'03 Proceedings of the Fourth international conference on Web information systems engineering workshops
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Service Level Agreements (SLAs) define a set of consumer expectations which must be met by a provider if a contract is not to be broken. Since providers will potentially be providing many different services to thousands of different consumers, they must adopt an efficient policy for resource management which differentiates consumers into service ranges. Existing approaches to QoS assessment of providers assume that the policy of a provider with respect to consumers is handled on an individual basis. We maintain that such approaches are ineffective when providers adopt a policy based on service differentiation and in response introduce and evaluate an expectation-based approach to QoS assessment which presupposes the classification of consumers into ranges defined by their expectation. As well as carrying out assessment to determine the likely future behaviour of a provider for a given consumer expectation, we attach a confidence value to our assessment to indicate the level of certainty that the result is accurate. Our results suggest that our confidence-based approach can help consumers make better informed decisions in order to find the providers that best meet their needs.