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A Web Service Composition Method for Edge Computing QoS

Under the premise of edge computing and QoS optimization, an improved whale optimization algorithm is proposed for edge service combination. The algorithm introduces Iterative mapping to initialize the population, which improves the diversity of the population. Secondly, in order to improve the convergence speed and optimization accuracy, nonlinear convergence factors and inertia weights are added. Through the analysis of the results of service composition simulation experiments under QoS constraints, it is concluded that the efficiency and stability of the algorithm are improved and the solution quality is improved in the optimization of service composition of different scales.