Research On Multi Scene Edge Server Placement In Mobile Edge Computing

In recent years,mobile edge computing has attracted great attention as a new computing method with high efficiency,low latency and large bandwidth.It can sink user requests originally processed by the cloud to edge servers for efficient processing.With the rapid development of the Internet of Things,the number of user requests increases exponentially.As an important part of mobile edge computing,edge cache can cache popular at the edge of the network,allowing users to access resources nearby.However,the content selection of edge cache is not determined.Appropriate content selection can effectively reduce the transmission delay of users.Therefore,it is of great significance to select an appropriate edge cache placement algorithm.In this thesis,the placement of multi-scene edge cache in moving edge computing is studied.The main work is as follows:(1)Based on the analysis of the single-base station service scenario,the problem is reduced to a dynamic programming problem,and an edge cache placement algorithm based on the maximum value of content cache is proposed.The algorithm takes the base station cache capacity as a constraint,and selects the edge cache placement policy that can maximize the base station cache capacity.The simulation results show that the algorithm can increase the total cache value of the base station to a certain extent,reduce the total transmission delay of users,and improve the total cache hit rate.(2)Based on the analysis of the cross-base station service scenario,the problem is reduced to a nonlinear integer programming problem,and an edge cache placement algorithm based on the minimum transmission delay is proposed.The algorithm uses the genetic algorithm to solve the optimal solution of the problem,and selects the best placement policy for each base station.The simulation results show that the algorithm has a good effect in reducing the total transmission delay and increasing the total cache hit rate.(3)The edge cache placement module is designed and implemented based on EdgeCloudSim.Firstly,the experimental environment of EdgeCloudSim is deployed.Secondly,the two edge cache placement algorithms proposed in this thesis are introduced,and the edge cache placement module is designed and implemented.Finally,the experimental results are obtained through experiments in EdgeCloudSim,and the experimental results are analyzed to verify the feasibility of the proposed algorithm.