Research On Computational Handover Algorithm Based On Multi-attribut EDecision In Mobile Edge Computing

In recent years,the rapid development of cloud computing and mobile cloud computing has resulted in an increase in the number of intelligent terminals and processor computing capabilities,and more and more compute-intensive application applications have been uninstalled.In the cloud,this puts a heavy load on the core network,which can't satisfy those delay-sensitive applications,so mobile edge computing is generated.By deploying resources such as computing and storage at the edge of the network,it can quickly handle tasks and transmit them.However,due to the mobility of user terminals,a very important issue to be considered is what measures should be taken when service quality is affected by location.Reasonable calculation switching can solve this problem well.In moving edge calculations,it is the key to the switching problem when computing switching and switching to where.This paper studies the specific process of computing handover,the factors influencing the computing handover,and the management system,and proposes the management framework of computing handover.Based on the considerations of the completion time of tasks,energy consumption of mobile terminals and task completion cost,and according to the framework of handover management and specific decision criteria,a simple weighting method,an entropy method,and three sorting methods based on ideal solutions are proposed.Multi-attribute decision making switching algorithm.Finally,in the experimental part,the three kinds of multi-attribute decision-making calculation switching algorithms are simulated.The performance of the three algorithms is analyzed according to the experimental results.Then the influence of the change of computation and data volume on the performance of the algorithm is studied.The experimental results show that the method of multi-attribute handover decision is superior to that of non-switching and always switching,and in the method of multi-attribute decision making,the method of ideal solution ordering is superior to the simple weighting method and entropy method,and The completion time of the task,the energy consumption of the mobile terminal,and the execution cost of the task are significantly reduced with the increase of the terminal moving speed,which shows that the threshold-based decision rule and the multi-attribute handover decision algorithm are suitable for the calculation switching in the mobile edge calculation.