QoS-aware Service Selection – Optimization Mechanisms and Decision Support for Complex Service-based Workflows
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Beschreibung
The problem of selecting services from a set of equally appropriate ones on the basis of cost and Quality of Service is well-recognized in the literature. It is commonly referred to as Service Selection Problem. While many related approaches and work exists in the literature addressing the Service Selection Problem and providing optimal as well as heuristic solutions to it, the process structures and workflow patterns considered and supported are rather straightforward. This limitation is addressed in this thesis by focusing on complex, interlaced, acyclic as well as cyclic structured and unstructured workflows that so far have not been accounted for.
In addition to providing an approach for computing optimal solutions to the Service Selection Problem, a simulation-based adaptation framework is described that focuses on reducing the risk of uncertainty and therewith of a potential negative impact of stochastic Quality of Service behavior.
Autor*in
Dieter Schuller