Solving resource planning problems: a heuristical solution

Authors:
Julian Eckert;Tim Lehrig;Apostolos Papageorgiou;Nicolas Repp;Ralf Steinmetz
Affiliations:
Technische Universität Darmstadt, Darmstadt, Germany;Technische Universität Darmstadt, Darmstadt, Germany;Technische Universität Darmstadt, Darmstadt, Germany;Technische Universität Darmstadt, Darmstadt, Germany;Technische Universität Darmstadt, Darmstadt, Germany
Venue:
Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
Year:
2009

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Abstract

Resource planning for service-based workflows becomes crucial considering a large amount of workflow execution requesters in a SOA or Grid environment. Especially, business process management and performance management of service-based workflows are of high importance avoiding performance degradation. The need for efficient resource planning techniques forces intermediaries, acting as workflow orchestrators, to use efficient heuristics for the determination of service invocation plans for workflows at short computation times. This paper presents an optimization approach for the resource planning problem and proposes an efficient heuristical solution solving the addressed optimization problem at a high solution quality and at a short computation time.