Research Of Data And Computation Offloading In Mobile Edge Computing

Mobile edge computing,to make up for the deficiency of traditional cloud computing,provides computing capability at the edge of the wireless access network near mobile users,meeting the needs of fast interactive response,and providing universal and flexible computing services.In or-der to use the services provided by the edge network,how to offload the tasks undertaken by the mobile device to the edge server for efficient and reasonable uninstallation decision has become the main research direction of the edge computing problem.In this paper,the problem of data offloading and computation offloading in the scenario of multi-user multi-tasking in the mobile edge computing environment is studied.This paper mainly researches the data offloading algorithm based on opportunistic contact and the computation offloading algorithm based on game theory.First of all,this paper studies the data offloading algorithm based on multi-user multi-task.We propose a heuristic data offloading algorithm based on opportunistic contact,considering the difference in deadline and data size,and studying the contact mode between mobile nodes and mobile nodes and between mobile nodes and non-mobile node,to minimize data offloading costs.We proposed an offline algorithm based on a heuristic algorithm and designed a real-time online data offloading algorithm.The results of data offloading are analyzed by experimental simulation,and the offloading cost and offloading ratio of the proposed algorithm is better than other multi-user multi-task data unloading algorithms.Secondly,this paper further studies the computation offloading algorithm based on multi-user multi-task.The communication model,calculation model,and offloading weight model are constructed.We proposed a computation offloading algorithm based on game theory.The distributed iteration is performed by time slot for calculation and unloading decision.It is verified by simulation experiments that the algorithm can be unloaded and iteratively balanced,which makes the user stable and coordinated,and greatly reduces the overall overhead.In summary,this paper studies the data offloading and computation offloading problems in multi-user multi-tasking scenarios,aiming at improving the overall efficiency and overhead of the system,and providing offloading decision-making methods for the important process in mobile edge computing.