Service composition is an effective means of building profit-added service in service-oriented computing environment. Most of current research neglects characteristics of domain business as well as successful domain experiences, so optimization performance can't be further improved in specific service context. Firstly, the concept of service pattern is proposed to describe common processes in domain business. Both service patterns and related advantageous services are pre-computed and organized, so that they can be reused in optimization. Then a service pattern-based service composition approach (SP-SCA) is presented, whose objective is to obtain a maximal profit service solution quickly. The SP-SCA employs the coverage ratio, redundancy ratio and unit effective cost to measure the performance of service pattern. The approach adopts a two-stage optimization strategy: service pattern-based stage and atomic service-based stage. In the service pattern-based stage, SP-SCA follows the greedy principle "priority to minimal unit effective cost" to quickly obtain optimal service solution. Experimental results show the effectiveness and advantage of the proposed approach.
['Hanchuan Xu', 'Yaou Zhuang', 'Zhongjie Wang', 'Xiaofei Xu']
A Pattern-Based Service Composition Approach for Profit Optimaizion