Towards accurate failure prediction for the proactive adaptation of service-oriented systems
Proceedings of the 8th workshop on Assurances for self-adaptive systems
A QoS evaluation method for personalized service requests
WISM'11 Proceedings of the 2011 international conference on Web information systems and mining - Volume Part II
ServiceWave'11 Proceedings of the 4th European conference on Towards a service-based internet
Constraint-Based runtime prediction of SLA violations in service orchestrations
ICSOC'11 Proceedings of the 9th international conference on Service-Oriented Computing
Reactive service selection in dynamic service environments
ESOCC'12 Proceedings of the First European conference on Service-Oriented and Cloud Computing
A constraint-based approach to quality assurance in service choreographies
ICSOC'12 Proceedings of the 10th international conference on Service-Oriented Computing
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Several activities in service oriented computing can benefit from knowing properties of a given service composition ahead of time. We will focus here on properties related to computational cost and resource usage, in a wide sense, as they can be linked to QoS characteristics. In order to attain more accuracy, we formulate computational cost / resource usage as functions on input data (or appropriate abstractions thereof) and show how these functions can be used to make more informed decisions when performing composition, proactive adaptation, and predictive monitoring. We present an approach to, on one hand, automatically synthesize these functions from orchestrations and, on the other hand, to effectively use them to increase the quality of non-trivial service-based systems with data-dependent behavior. We validate our approach by means of simulations with runtime selection of services and adaptation due to service failure.