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  • 标题:A Heuristic Approach for Web-Service Discovery and Selection
  • 本地全文:下载
  • 作者:Achraf Karray ; Rym Teyeb ; Maher Ben Jemaa
  • 期刊名称:International Journal of Computer Science & Information Technology (IJCSIT)
  • 印刷版ISSN:0975-4660
  • 电子版ISSN:0975-3826
  • 出版年度:2013
  • 卷号:5
  • 期号:2
  • 页码:107
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:In today’s businesses, service-oriented architectures represent the main paradigm for IT infrastructures.Indeed, the emergence of Internet made it possible to set up an exploitable environment to distribute applicationson a large scale, and this, by adapting the notion of “service”. With the integration of this paradigmin Business to Business Domain (B2B), the number of web services becomes very significant. Due tothis increase, the discovery and selection of web services meeting customer requirement become a verydifficult operation. Further, QoS properties must be taking into account in the web service selection. Moreover,with the significant number of web service, necessary time for the discovery of a service will be ratherlong. In this paper, we propose an approach based on a new heuristic method called “Bees Algorithm”inspired from honey bees behavior. We use this technique of optimization in order to discover appropriateweb services, meeting customer requirements, in least time and taking into account the QoS properties.
  • 关键词:Web service discovery and selection; Bees algorithm; peer-to-peer environment; distributed architecture;quality of service (QoS)
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