Cost-Based Prevention of Violations of Service Level Agreements in Composed Services Using Self-Adaptation

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Provided by: Institute of Electrical & Electronic Engineers
Topic: Big Data
Format: PDF
Providers of composite Web services face the challenge of having to comply with SLAs, which are agreements governing the minimum performance that customers can expect from a composite service. In this paper, a framework for optimizing adaptations of service compositions with regards to SLA violations has been developed. The framework, dubbed PREvent (PREdiction and Prevention of SLA Violations Based on Events), uses techniques from the areas of machine learning and heuristic optimization to construct models for prediction of SLA violations at runtime, and to decide which adaptation actions may be used to improve overall performance in a composition instance.
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