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服务质量是Web服务发现中的关键问题。本文提出了一种支持QoS的Web服务发现模型,该模型增加了QoS代理中心机构,并引入监控和反馈机制。在满足用户对Web服务功能需求的基础上,它以服务注册参数、用户反馈信息和实时监测数据为依据结合QoS代理中心的监控器、量化器、选择器、管理器对Web服务的非功能性属性进行量化,实现服务质量动态评估,保证Web服务QoS信息的公平性、可靠性和实时性。同时在查找服务时引入概念权重和服务请求权重,并通过关键字匹配、功能性约束匹配、非功能性需求量化、非功能性需求归一化和综合评估、全局最优化,五阶段选择算法,实现服务的动态排序,既能满足大众化需求,又能满足个性化需求,提高了服务的查准率。
Quality of service is a key issue in web service discovery. In this paper, we propose a QoS-aware Web service discovery model that adds a QoS proxy agency and introduces monitoring and feedback mechanisms. On the basis of meeting user’s demand for Web service function, based on service registration parameter, user feedback information and real-time monitoring data, combining with monitor, quantifier, selector and manager of QoS proxy center, Attributes to quantify the dynamic assessment of service quality to ensure the fairness, reliability and real-time of Web services QoS information. At the same time, concept weight and service request weight are introduced into service searching. Through keyword matching, functional constraint matching, non-functional requirement quantification, non-functional requirement normalization and comprehensive evaluation, global optimization, five-stage selection algorithm, The dynamic ordering of services can not only meet the needs of the general public, but also meet the individual needs and improve the accuracy of service.