Cloud model for service selection

Abstract

Cloud computing is Internet-based computing where computing resources are offered over the Internet as scalable, on-demand services. Web services are widely employed for building distributed cloud applications. Performance of web services may fluctuate due to the dynamic Internet environment, which makes the Quality-of-Service (QoS) inherently uncertain. With the increase of Web services in the Internet, selecting the optimal service from a set of functionally equivalent candidates becomes an important research problem. In this paper, we propose an efficient and effective QoS-aware service selection approach. Our approach first employs cloud model to compute the QoS uncertainty for pruning redundant services while extracting reliable services. Then, mixed integer programming is used to select optimal services. The experimental results show that our approach can provide reliable and efficient optimal service selection for users.