An Optimization Method of Workflow-Based Web Service Composition Model

Existing workflow-based web service composition programs lack the flexibility to choose high-quality services, and the scheduling performance degenerates as the size increases. In order to solve this problem, this article describes an optimization method of workflow-based web service composition model. In this method, we propose a computational model of service quality to calculate the service parameters of specific quality, and the topological sorting algorithm has been adjusted in line with the timing relationship among the topology of a sequence, it gives the value computing model of quality and service scheduling model in the portfolio of services. Empirical results show that the proposed scheduling model identifies the precursor of services and makes it easier to find the precursor of the services. This optimization program enhances the web services quality of service, optimizes service scheduling function, and shorts the response time of the application services portfolio, in the case of large-scale applications. It will play a more significant effect, combinatorial optimization methods for web services. The study has important significance.