论文部分内容阅读
本文提出一种Web服务组合满足服务质量(Qos)的选择算法。对Qos的执行时间、可靠性、信誉和价格进行综合评价,得到了目标可解集,并对Qos影响因素进行综合量化。在此基础上,提出了优化Qos选择算法并引入约束因子。通过实验仿真,将所提出方法与WFlow和RWSCS_KP进行比较研究,在不同的约束因子、服务数量和候选服务数量下,结果表明该方法具有较低的故障率。
This paper presents a Web service composition to meet the quality of service (QoS) selection algorithm. A comprehensive evaluation of Qos’ execution time, reliability, reputation and price has been done to obtain the target solvable set, and the Qos influencing factors are comprehensively quantified. On this basis, the optimization Qos selection algorithm and the introduction of constraint factors are proposed. Through experimental simulation, the proposed method is compared with WFlow and RWSCS_KP. The results show that the proposed method has a lower failure rate under different constraint factors, the number of services and the number of candidate services.