【摘要】 在Web服务组合过程中,基于全局Qo S(quality of service)约束分解的服务组合方法是提高服务组合动态性与灵活性的有效途径。已有的研究工作在进行约束分解服务优化组合时,没有考虑上下游服务之间的Qo S关联性,影响了组合的效率与质量,降低了用户的满意度。提出一种基于Qo S全局约束分解与关联感知的动态优化服务组合方法,通过改进后的人工蜂群算法将全局Qo S约束分解为局部Qo S约束;定义上下游服务之间的Qo S关联系数,构造一种基于Qo S关联感知服务选择的方法,解决了存在关联关系的服务选择问题。实验验证了该方法的可行性和有效性。更多还原

【Abstract】 Web service composition based on decomposition of global Qo S constrains is a new method to improve the dynamics and flexibility of web service composition. However,existing researches did not take the relationship between upstream services and downstream services into account when decomposing the global Qo S constrains,so that their efficiency and effects should be improved. To address this issue,this work proposes a new web service dynamic optimized composition method based on decomposition of global Qo S constrains and Qo S correlation. Firstly,improved artificial bee colony algorithm is proposed to solve the problem of global Qo S constrains decomposition efficiency. Secondly,it puts forward a method of service discovery based on Qo S relationship perception by defining Qo S related coefficient between upstream and downstream services. Finally,the authors verifiy the feasibility and effectiveness of the method.更多还原