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QoS-based Selection of Services: The Implementation of a Genetic Algorithm
Citation key JaMu:2007:SelectionByGenecticAlgorithm
Author Michael C. Jaeger and Gero Mühl
Title of Book KiVS 2007 Workshop: Service-Oriented Architectures und Service-Oriented Computing (SOA/SOC)
Pages 359–370
Year 2007
ISBN 978-3-8007-2980-7
Address Bern, Switzerland
Month mar
Editor T. Braun and G. Carle and B. Stiller
Publisher VDE Verlag
Abstract In today's businesses we can see the trend that service-oriented architectures (SOA) represent the main paradigm for IT infrastructures. In this setting, software offers its functionality as an electronic service to other software in a network. In order to realise more complex tasks or business processes that are comprised of individual services, compositions of these are formed. Thus, several research efforts cover the creation of service compositions, including their modelling, development and provision. In this setting, individual services must be selected that perform the tasks of the composition. This selection can consider the quality-of-service (QoS). This paper discusses the optimisation problem when selecting services while considering different QoS characteristics. For this problem, we investigate the application of a genetic algorithm. Based on previous research work, the implementation of this algorithm is tested in our simulation environment SENECA in order to compare its performance with other approaches. Furthermore we use the simulation environment in order to determine the impact of different parameters (e.g. mutation rate, fitness function) on the optimisation capability of the genetic algorithm.
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