The WSLA Framework: Specifying and Monitoring Service Level Agreements for Web Services
Journal of Network and Systems Management
IEEE Internet Computing
QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
Constraint Driven Web Service Composition in METEOR-S
SCC '04 Proceedings of the 2004 IEEE International Conference on Services Computing
QoS Aggregation in Web Service Compositions
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
An approach for QoS-aware service composition based on genetic algorithms
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Reliability Prediction for Service-Oriented Computing Environments
IEEE Internet Computing
Modelling and Solving QoS Composition Problem Using Fuzzy DisCSP
ICWS '06 Proceedings of the IEEE International Conference on Web Services
A probabilistic approach to modeling and estimating the QoS of web-services-based workflows
Information Sciences: an International Journal
Scaling up SLA monitoring in pervasive environments
International workshop on Engineering of software services for pervasive environments: in conjunction with the 6th ESEC/FSE joint meeting
Flexible Probabilistic QoS Management of Transaction Based Web Services Orchestrations
ICWS '09 Proceedings of the 2009 IEEE International Conference on Web Services
Event structure semantics of Orc
WS-FM'07 Proceedings of the 4th international conference on Web services and formal methods
A language for task orchestration and its semantic properties
CONCUR'06 Proceedings of the 17th international conference on Concurrency Theory
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Web services are software applications that are published over the Web, and can be searched and invoked by other programs. New Web services can be formed by composing elementary services, such composite services are called Web service orchestrations. Quality of Service (QoS) issues for Web service orchestrations deeply differ from corresponding QoS issues in network management. In an open world of Web services, service level agreements (SLAs) play an important role. They are contracts defining the obligations and rights between the provider of a Web service and a client with respect to the services' function and quality. In a previous work we have advocated using soft contracts of probabilistic nature, for the QoS part of contracts. Soft contracts have no hard bounds on QoS parameters, but rather probability distributions for them. An essential component of SLA management is the continuous monitoring of the performance of called Web services, to check for violation of the agreed SLA. In this paper we propose a statistical technique for QoS contract run time monitoring. Our technique is compatible with the use of soft probabilistic contracts.