Research On Task Migration And Content Host Selection Strategy Under Multi-point Cooperation

Mobile Edge Computing provides computing capabilities for wireless access networks to meet the service requirements of the Internet of Things with high reliability and low delay.Offloading services to the edge server can ease the limitations of storage and computing,and extend the survival time of Io T devices.However,due to the large number of Io T devices,joint resource allocation in MEC faces scalability issues.At the same time,due to the limited computing and storage resources of a single edge server,the quality of user experience is poor.The cooperation between edge servers can meet the needs of users for computing resources.At present,how to make the cooperation strategy among edge nodes is faced with some challenges.At the same time,with the development of wireless mobile communication technology,users can be simultaneously handled by Multiple edge nodes.Coordinated Multiple Points Transmission/Reception technology has received widespread attention.How to develop the optimal Content Host collaboration set is an important research content of collaborative Transmission.Based on the above analysis,this article uses the mutual cooperation of edge nodes on the basis of related research to make Tasks Migrate on the different servers,make reasonable adjustments to the utilization of edge server computing resources,and make reasonable adjustments to the densely deployed small cells.Under the scenario,the resource allocation problem in the downlink transmission of the Multiple-Input Multiple-Output system is studied,and the host selection mechanism in Co MP is optimized.The main work is as follows:(1)In the scenario where the edge nodes cooperate with each other,this article migrates and adjusts the received tasks,formulates a reasonable task migration strategy,considers the demand for task computing resources and improves the resource utilization of the edge server,so as to achieve a balanced allocation of resources.This paper uses the Transportation problem-solving strategy,adjusts the overall resource occupancy according to the computing capacity of the task and the computing power of the edge server,and formulates the unloading decision-making plan for task migration to achieve better performance.The simulation results show that the proposed Task migration strategy effectively reduces the migration cost of tasks between edge nodes,can be scheduled with the minimum migration cost,and at the same time makes better use of the overall computing resources.(2)In this paper,Co MP is studied in a densely deployed small cell base station scenario.In a dense deployment environment of base stations,at the same time,when a user makes a related request for content,due to the characteristics of the base station data cache,the content requested by the user may have multiple backups(Content Host)on multiple edge base stations,so users can simultaneously provide by multiple content hosts.How to select a part of these multiple Content Hosts for collaborative transmission is essential to reduce the access delay and increase the cache hit rate.Based on the above considerations,this article discusses the content transmission strategy oriented to the core host set,and uses the channel gain between the receiving node and the sending node to select the Content Hosts.On the basis of edge server collaboration,a user selection algorithm with fairness is proposed.According to the designed metric,SBS is selected to form a cooperative set(compensation set),and the number of content hosts and the transmission rate of users are used as the criterion.The simulation results show that the proposed host selection mechanism guarantees the performance of the system,improves the fairness of users,and reduces the interruption of low-service users.