An Optimal Composite Service Selection Model based on Edge-Cloud Collaboration

Yan Wang, 周娜, 郎海霞, Yuying Li

Abstract: In the age of the Internet of everything, the Edge-Cloud collaborative service support has become a very promising development direction in the application field of the Internet of things. However, when various service components are deployed both on the cloud and the edge, the subsidence and decentralization of computing resources also have a great impact on the performance of composite services. This paper proposes an optimal composite service selection model based on Petri nets. In order to compare the composite service paths, this paper adopts a dynamic evaluation model of composite service quality based on Petri nets. Firstly, all kinds of Petri net models for the implementation structure of composite services are constructed. And then the QoS computing rules corresponding to these structures are given based on the QoS of each service component on the edge of the cloud. Finally, the dynamic execution process of each composite service with a feasible path is simulated through Petri net, and the overall performance of the service is evaluated based on the dynamic simulation of its Petri net model, finally, the optimal service path is selected among the combined services that meet the user's requirements.. Through case analysis and comparison, the feasibility and effectiveness of the method are verified by an example analysis.