计算机科学 ›› 2016, Vol. 43 ›› Issue (1): 141-144.doi: 10.11896/j.issn.1002-137X.2016.01.032

• 网络与通信 • 上一篇    下一篇

基于社会网络的可信Web服务选择研究

吴菊华,程小燕,曹强,莫赞   

  1. 广东工业大学管理学院 广州510520,广东工业大学管理学院 广州510520,广东工业大学管理学院 广州510520,广东工业大学管理学院 广州510520
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家自然科学基金项目:复杂系统视角下人才集聚对经济增长的作用机理与贡献测度研究(71301030),广东省现代科技服务产品超市建设重点项目:肇庆高端产业科技服务智慧超市(2013B040100008),广东省高校人文社科项目:基于社会网络视角的区域集群供应链(11WYXM022),广东省海洋经济创新发展区域示范专项:深水网箱养殖产业工程技术研发公共服务平台(GD2013-D01-001)资助

Trustworthy Web Servcie Selection Based on Social Network

WU Ju-hua, CHENG Xiao-yan, CAO Qiang and MO Zan   

  • Online:2018-12-01 Published:2018-12-01

摘要: Web服务技术使开放环境中的大规模应用得到不断发展,服务提供商提供了不计其数的具有相同或类似功能的Web服务,如何选择适合的尤其是可信的Web服务是个难题。目前大多数服务选择机制都设计固定的因素集作为选择标准,但是在处理一些未知的Web服务时,难以满足用户的多样性需求。基于此,从社会网络的视角综合考虑了服务提供商网络和用户网络两个方面,提出了可信服务选择框架,对服务提供商采用模糊综合评价法来确定其综合评价值,基于用户声望评价来确定单个Web服务的可信度。用户依据服务质量(Quality of Service,QoS)需求、得到的QoS数据、服务提供商的综合评价和Web服务的可信度进行Web服务的选择。

关键词: 信任,社会网络,模糊综合评价法,Web服务选择

Abstract: The technique of Web services enables the development of large-scale applications in open environments.The increasing number of Web service providers have produced numerous Web services providing the same or similar functionality,and this necessitates the use of tools and techniques to search Web services available over the Web.However,the majority of selection mechanisms are designed to use a fixed set of indicators as the selection criteria,so when dea-ling with unknown Web services,they are unable to adapt to the diverse demands of users.In this paper,considering the service provider’s network and the service consumer’s network,from the perspective of social network,we proposed a trustworthy service selection framework.The synthetic value of service provider was identified by fuzzy synthetic eva-luation method and the reliability of Web services was calculated upon user ratings.User makes selection decision with demands of QoS,QoS data,the synthetic evaluation of service provider and the reliability of Web services.

Key words: Trust,Social network,Fuzzy synthetic evaluation method,Web service selection

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