A Genetic Algorithm with Simplex Optimization Method for QoS-driven Cloud Service Selection

نویسندگان

  • Chengwen Zhang
  • Yan Gong
  • Jiali Bian
  • Bo Cheng
  • Lei Zhang
چکیده

A special Genetic Algorithm (GA) with simplex optimization method is proposed for the problem of selecting an optimal cloud service composition plan from a lot of composite plans on the basis of some global Quality-ofService (QoS) constraints. In this GA, some Simplex Method (SM) operations and a fitness function are provided. The design of the SM operations is made in the light of the characteristics of cloud service composition. After analyzing the types of different QoS attributes, objective function and fitness function are built. SM operations enhance local search capability of GA. Because the design of the hybrid algorithm accords with the characteristics of cloud service selection very well, excellent composite cloud service plan can be gotten from a lot of composite plans on the basis of global QoS constraints. Some tests and analyses show that the proposed algorithm can be a good method for QoS-based cloud service selection.

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تاریخ انتشار 2013