Design And Implementation Of Edge Service Resource Allocation Strategy For Internet Of Vehicles Application

With the rapid development of automobile industry and communication technology,the technology of Internet of vehicles has also developed rapidly.The emergence of intelligent vehicles and the popularity of intelligent services have led to the increasing demand for service types and quantities.Due to the limitation of vehicle hardware configuration,it can not meet the resource requirements and low delay requirements of computing intensive complex vehicle application processing.The proposal of edge computing effectively solves the above problems,but also produces a new problem of edge resource abuse.Unreasonable edge resource allocation schemes lead to low resource utilization of edge servers.Especially for some complex tasks that require multi server cooperation,the problem of high energy consumption and high delay caused by the resource allocation scheme is more prominent.Therefore,how to make efficient use of edge resources in the limited edge resource environment has become an urgent problem to be solved for edge services to promote the development of intelligent Internet of vehicles.To solve the above problems,this thesis has completed the following two parts of research work:(1)To solve the problem of low utilization of edge resources in the Internet of vehicles,a resource allocation method based on the bundling two-way auction model is proposed.From the perspective of game theory,the edge resources are bundled and allocated.The resource pricing,pricing strategy and payment rules in the auction process are analyzed.At the same time,the resource allocation scheme of the edge service system is optimized by considering the actual value income of vehicle application and the cost income of edge resources.Experimental results show that this method has higher resource utilization and faster convergence than the existing methods.(2)To solve the problem that a single edge server can not handle complex tasks,a resource allocation method based on edge server ad hoc network(SANET)is proposed.At the edge of the Internet of vehicles,the available resources of the edge server are combined to establish SANET,and the computing power,computing resources and communication resources of SANET are redefined to meet the needs of complex vehicle applications.With the goal of minimizing energy consumption,SANET is optimized by genetic algorithm to allocate service resources for complex vehicle applications.The experimental results show that the SANET edge service network can not only meet the low delay requirements of complex vehicle applications in the Internet of vehicles,but also effectively reduce the energy consumption of the edge service system and improve the utilization of edge resources.