Study Of Task Migration Strategy With Energy Optimization In Mobile Edge Computing

With the development of communication technology,resource-constrained mobile terminal devices can no longer meet the rapidly increasing demands of mobile users in data processing.The current situation that mobile terminals cannot handle complex tasks for a long time is difficult to change by expanding the mobile terminal hardware facilities to improve the performance of the equipment.Therefore,it is inevitable to find new technologies that can solve the lack of computing power of mobile terminals.Although in the cloud computing environment,task migration technology provides a new solution to solve the lack of computing power of mobile terminals.However,cloud computing using a centralized processing model is difficult to meet the needs of massive user data and long-distance transmission For this reason,mobile edge computing(MEC)came into being.Mobile edge computing technology is to decentralize the resources of the original cloud data center near the mobile terminal equipment,and build a MEC platform for unified management of computing resources and storage resources.Mobile terminal devices migrate computing,storage,and other functions to the MEC platform to solve their lack of computing power.Therefore,how to maintain high service performance during the task migration process and reduce the energy consumption of related equipment has also become a topic of concern for researchers and mobile users.The purpose of this thesis is to study how to optimize the performance of task migration based on the mobile edge computing environment.(1)This thesis first proposes a task migration strategy with energy optimization based on the service scenario of multiple MEC platforms,and named the strategy as Optimal stopping task migration strategy(OSTMS).The basic idea of this strategy is to combine the channel quality of the wireless link between the mobile terminal and the MEC platform with the task migration research.First,the process of selecting a MEC platform for mobile terminal migration is converted into an optimal stopping problem;then,the optimal stopping theory is used to obtain the average data migration average energy consumption;finally,by selecting the MEC platform with the optimal data migration average energy consumption Perform migration to reduce migration energy consumption and migration delay.(2)It is also considered that in mobile edge computing platforms,the tasks being performed often change due to the migration of mobile terminal devices.Therefore,a dynamic service migration strategy with energy optimization(DMSEO)is proposed to solve the energy consumption optimization problem of dynamic service migration with near and far effects in mobile networks.The overall idea of the algorithm is: By combining dynamic service migration research with the near-far effect problem in wireless networks,and selecting the MEC platform for migration based on the optimal migration energy consumption threshold for dynamic services,the goals of reducing migration energy consumption and improving migration performance are achieved.To sum up,in the mobile edge computing environment,the two strategies proposed in this thesis effectively reduce the energy consumption of related equipment in task migration,while ensuring the performance of task migration.It is significant to study the task migration in mobile edge computing environment.