• DocumentCode
    3303749
  • Title

    Dependency modeling in automated web services quality component negotiations

  • Author

    Hashmi, Khayyam ; Alhosban, Amal ; Najmi, Erfan ; Malik, Zaki

  • Author_Institution
    Dept. of Comput. Sci., Wayne State Univ., Detroit, MI, USA
  • fYear
    2013
  • fDate
    13-15 June 2013
  • Firstpage
    110
  • Lastpage
    115
  • Abstract
    Web services are a popular choice for component oriented systems that support dynamic compositions. Automated negotiation among Web services provides an effective way for the services to bargain for their optimal customizations and allows the discovery of overlooked potential solutions. Unique and dynamic Quality of Service (QoS) requirements of service consumers pose challenges for effective approaches of service compositions with multiple QoS parameters. In this paper, we present a negotiation Web service that would be used by both the consumer and provider Web services for conducting negotiations for dependent QoS parameters. We use a genetic algorithm(GA) based approach for finding acceptable solutions in multi-party and multi-objective scenarios. Experimental results indicate the applicability and improved performance or our approach in facilitating the negotiations involved in a Web service composition process.
  • Keywords
    Web services; genetic algorithms; quality of service; GA; QoS; automated Web services quality component negotiations; automated negotiation; component oriented systems; dependency modeling; dynamic compositions; dynamic quality of service requirements; genetic algorithm based approach; multiobjective scenarios; multiparty scenarios; Contracts; Genetic algorithms; Protocols; Quality of service; Throughput; Vectors; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetics (CYBCONF), 2013 IEEE International Conference on
  • Conference_Location
    Lausanne
  • Type

    conf

  • DOI
    10.1109/CYBConf.2013.6617432
  • Filename
    6617432