一种支持QoS约束的Web服务发现模型

A Model for Web Service Discovery with QoS Constraint

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（QoS）is a key issue in web service discovery.This paper proposes a QoS-supported model for web service discovery,the model adds a mechanism called agent center of QoS and introduces monitoring and feedback mechanism.It satisfies users＇functional requirements of web service and estimates web service＇s non-functional criteria dynamically based on the criteria registered by web service,information fed back by users and service＇s realtime data which using monitor,quantizer,selector and manager of agent center of QoS,in order to evaluate quality of service dynamically and real-time updates,ensures that QoS information is impartiality,trustworthiness,and real-time.It realizes the dynamic sorting of web services and improves the precision of selection,which not only meets the popular requirements but also meets the personal requirements of consumers by introducing the concept weight and weight of service request in finding services,and using the five-stage selection algorithm which includes keyword matching,functional constraints matching,quantification of the demand for non-functional,requirements normalization of non-functional and comprehensive assessment and global optimization.