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为了在高度复杂网络环境下,组合相关服务以满足web服务质量(Quality of service,Qos),提出了一种基于线性规划(Linear Programming,LP)在Web服务组合最优化方法,通过对web服务业务流的定义和相关的推论,给出了web服务业务流的顺序、and、or、服务分解_汇合结构的数学模型,明确了业务活动和服务流之间的数学关系。为了得到最优服务质量给整个业务活动和相关服务进行约束,提出了约束条件的5个规则,把相关优质服务筛选出来,给出事例来说明本文所提模型的推论和约束。最终的全局推论和约束目标集,通过实验与TQos在不同服务数量情况下进行比较,本文所提出方法效率较高,具有较好的运行时间,并给出了相关目标集的参数。
In order to meet the quality of service (QOS) in the highly complex network environment, this paper proposes a linear programming (LP) -based optimization approach for Web service composition, The definition of flow and related inferences, given the sequence of web service business flow, and, or, mathematical model of service decomposition - convergence structure, clear the mathematical relationship between business activities and service flow. In order to obtain the best quality of service to the entire business activities and related services constraints, proposed five constraints of the rules, the relevant quality of service screening out, given examples to illustrate the model inference and constraints. The final global inference and constrained target set are compared with TQos in different service quantities through experiments. The proposed method is more efficient, has better running time, and gives the parameters of the related target set.