Research On Wireless Virtual Network Admission Control In Vehicular Fog Computing Environment

Vehicular fog computing has become one of the popular research technologies to solve the uneven distribution of explosive task data and computing resources.Vehicular fog computing has been widely used in many scenarios and businesses.When vehicular fog computing serves wireless virtual network users,most of the current technology research directions are focused on the allocation and utilization of resources,but in an undesirable environment such as the lack of network resources and uneven distribution of computing resources,especially in the auxiliary environment of vehicular fog computing how to access user groups is also one of the key points of urgent research.Implementing an access mechanism for wireless virtual network user groups can make the system better serve users.This thesis analyzes the existing access mechanisms for wireless virtual networks at home and abroad,and proposes two admission control mechanisms for wireless virtual network user groups in the vehicular fog computing environment.When a short-term vehicle stays in a vehicle to set up a vehicular fog computing service center to provide auxiliary calculations,the uncertainty of the total system resources can easily lead to user access failure.The reason is the randomness of the number of vehicles.To solve this problem,a robust admission control mechanism to increase the number of user group admissions is proposed in this thesis.The mechanism is divided into a robust access phase and a resource allocation phase.The admission stage transforms the admission problem under the dynamic resource environment into a robust optimization problem and uses convex optimization to solve it so as to maximize the number of access user groups.The decoupling of the resource allocation stage solves the problem of user offloading decision and computing resource allocation,and obtains the best user offloading decision and calculation rate to ensure user delay requirements.The simulation results show that the mechanism can effectively admit user groups and ensure user delay requirements in the uncertain resource environment of vehicular fog computing services.The existing technology mainly encourages vehicles to actively share resources,but does not motivate infrastructure service providers.Infrastructure service providers actively rent vehicles and computing resources can also improve resource utilization.Therefore,how to selectively rent vehicles according to the task needs of incoming users is an urgent problem to be solved.When choosing vehicles,service providers should not only consider the needs of users,but also consider their own service revenue.This thesis is aimed at this problem proposes an admission control mechanism that maximizes the revenue of service providers.The mechanism first establishes a service provider revenue model for access to user groups.This model can selectively lease appropriate vehicles according to the needs of the user group to form a vehicular fog computing center to provide services and maximize the revenue of infrastructure service providers.Secondly,perform optimal task splitting strategy and resource allocation for incoming users to ensure user service quality.The simulation results show that this mechanism can set up a fog computing center to serve users and maximize the benefits of service providers,while ensuring the quality of user services.