摘要
随着普适计算的不断深入发展,基于位置的服务也逐渐成为应用研究的重要方面。服务发现技术成为核心问题,而服务匹配就是重中之重,也是现在研究的热点问题。在对用户提供服务时,不仅要提高服务质量,而且要充分考虑用户的偏好。在面向位置服务领域分析与比较了现有的主流服务发现协议,并基于分析比较,提出了一种新的服务匹配方法,它通过分层匹配,以及充分考虑用户喜好程度来提高服务匹配成功率,从而达到提高服务质量的目的。
With the development of pervasive computing,location-based service is becoming an important aspect of applied research,and the technology of service discovery becomes a core issue. So service matching is the most important in service discovery, also it became hot spot in researching. In the process of providing service to user, not only the quali- ty of service should be improved, but also user＇s preferences should be considered. The existing mainstream service discovery protocols in the location-oriented service were compared. Based on analysis and comparison, a new algorithm of service matching was proposed. It improves the service matching success rate through hierarchical matching and full accounting of the user＇s preference, and ultimately aims to improve service quality.
出处
《计算机科学》
CSCD
北大核心
2012年第3期19-22,61,共5页
Computer Science
基金
国家自然科学基金项目(60773073
61001174
61170173)
教育部新世纪优秀人才计划项目(NCET-09-0895)
天津市自然科学基金项目(10JCYBJC00500)资助
关键词
普适计算
服务发现
服务匹配
Pervasive computing, Service discovery, Service matching
