• DocumentCode
    3396107
  • Title

    QoS-aware service composition in multi-network environment based on genetic algorithm

  • Author

    Li, Minghui ; Wu, Kaigui ; Liu, Lu

  • Author_Institution
    Coll. of Comput. Sci., Chongqing Univ., Chongqing, China
  • fYear
    2011
  • fDate
    17-19 Aug. 2011
  • Firstpage
    1231
  • Lastpage
    1235
  • Abstract
    QoS-aware service composition is one of the most important technologies in SOA. The aim is to compose a new service with the best QoS under the user constraints by a set of atomic services. There are a lot of researches on this topic in recent years. But most of them did not take the effect of the multi-network environment into account and the algorithms took much time when the number of the service candidates was large. In this paper, we present a service composition model in multi-network environment and solve the problem by employing genetic algorithm (GA) within acceptable time. Our approach provides a fast way to find the best solution for QoS-aware service composition in multi-network environment. The experimental results show that our method achieves better performance than other approaches.
  • Keywords
    genetic algorithms; quality of service; service-oriented architecture; QoS-aware service composition; SOA technology; atomic service; genetic algorithm-based multinetwork environment; service candidate; Bioinformatics; Delay; Genetic algorithms; Genomics; Quality of service; Reliability; Web services; GA; QoS; SOA; multi-network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Networking in China (CHINACOM), 2011 6th International ICST Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-0100-9
  • Type

    conf

  • DOI
    10.1109/ChinaCom.2011.6158346
  • Filename
    6158346