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Dynamic services selection algorithm in Web services composition supporting cross-enterprises collaboration

  • Chun-hua Hu (胡春华)Email author
  • Xiao-hong Chen (陈晓红)
  • Xi-ming Liang (梁昔明)
Article

Abstract

Based on the deficiency of time convergence and variability of Web services selection for services composition supporting cross-enterprises collaboration, an algorithm QCDSS (QoS constraints of dynamic Web services selection) to resolve dynamic Web services selection with QoS global optimal path, was proposed. The essence of the algorithm was that the problem of dynamic Web services selection with QoS global optimal path was transformed into a multi-objective services composition optimization problem with QoS constraints. The operations of the cross and mutation in genetic algorithm were brought into PSOA (particle swarm optimization algorithm), forming an improved algorithm (IPSOA) to solve the QoS global optimal problem. Theoretical analysis and experimental results indicate that the algorithm can better satisfy the time convergence requirement for Web services composition supporting cross-enterprises collaboration than the traditional algorithms.

Key words

Web services composition optimal service selection improved particle swarm optimization algorithm (IPSOA) cross-enterprises collaboration 

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Copyright information

© Central South University Press and Springer-Verlag GmbH 2009

Authors and Affiliations

  • Chun-hua Hu (胡春华)
    • 1
    • 2
    Email author
  • Xiao-hong Chen (陈晓红)
    • 1
  • Xi-ming Liang (梁昔明)
    • 3
  1. 1.School of BusinessCentral South UniversityChangshaChina
  2. 2.School of Computer and Electronic EngineeringHunan University of CommerceChangshaChina
  3. 3.School of Information Science and EngineeringCentral South UniversityChangshaChina

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