A Web Service Selecting Model Based on Measurable QoS Attributes of Client-Side

As more and more Web Services appear on the public Internet, Quality of Service (QoS) becomes one of the most important factors for Web Service selection. Meanwhile, accuracy and speed of Web Service selection come to be the new barriers. Focusing on those QoS attributes that are measurable on client-side, this paper proposes a new Web Service selecting model, extending the general searching architecture. In our model, a multiple-level cache architecture is implemented to speed up the selecting process. And inside of the architecture, similarities of clients and caches are taken into account to improve the accuracy of selection with historical service information.