一种支持QoS的自适应Web服务发现模型

QoS-Supported and Adaptive Model for Web Service Discovery

服务质量是Web服务发现中的关键问题。该文提出一种支持QoS的自适应Web服务发现模型,在满足用户对Web服务功能需求的基础上,依据QoS等非功能性指标对Web服务进行选择和排序,并给出服务的选择排序算法,该算法以服务注册参数、用户反馈信息和实时监测数据为依据,能动态地对服务的非功能性指标进行评价,返回最合适的服务给用户。实验证明,该模型有效地提高了系统的可用性。

Quality of Service（QoS） is a key issue in web service discovery. This paper proposes a QoS-supported and adaptive model for Web service discovery, which satisfies users＇ functional requirements of Web service, and selects and ranks Web services based on the non-functional criterions. A Web service selecting and ranking algorithm is presented, which estimates Web service＇s non-functional criterions dynamically based on the criterions registered by Web service, information fed back by users and service＇s realtime data. And the most appropriate Web service is returned to the user. Experimental results prove that the model improves the availability of the whole system.