Optimizing Web Service Composition for Data-intensive Applications

Abstract

The accessing, transferring and processing of data need to occur parallel in order to tackle the problem brought on by the increasing volume of data on the Internet. In this paper, we put forward the parallel schema for data-intensive Web services and the Benefit Ratio of Composite Services (BROCS) to balance the throughput and cost. Furthermore, we present the method to determine the degree of parallelism (DOP) based on the BROCS model to optimize the quality of the composite services. The experiment demonstrates how DOP affects the benefit ratio of the composite service. Meanwhile, the results based on the 250,000 Microblog items published by Sina show that our proposed parallel schema for Web services could effectively improve the efficiency of the composite Web service.