An approach for QoS-aware service composition based on genetic algorithms

  • Authors:

  • Gerardo Canfora;Massimiliano Di Penta;Raffaele Esposito;Maria Luisa Villani

  • Affiliations:

  • University of Sannio, Benevento, Italy;University of Sannio, Benevento, Italy;University of Sannio, Benevento, Italy;University of Sannio, Benevento, Italy

  • Venue:
  • GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
  • Year:
  • 2005

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Abstract

Web services are rapidly changing the landscape of software engineering. One of the most interesting challenges introduced by web services is represented by Quality Of Service (QoS)--aware composition and late--binding. This allows to bind, at run--time, a service--oriented system with a set of services that, among those providing the required features, meet some non--functional constraints, and optimize criteria such as the overall cost or response time. In other words, QoS--aware composition can be modeled as an optimization problem.We propose to adopt Genetic Algorithms to this aim. Genetic Algorithms, while being slower than integer programming, represent a more scalable choice, and are more suitable to handle generic QoS attributes. The paper describes our approach and its applicability, advantages and weaknesses, discussing results of some numerical simulations.