Research on Resource Allocation Strategies for Computing Offload Services in Multi-access Edge Networks

• 1、School of Information and Communication Engineering, Beijing University of Post and Telecommunications， Being，100876

Abstract：Multi-access edge computing, first proposed by the European 5G standardization organization ETSI, aims to deploy computing resources at the edge of the access network to meet users\' real-time computing demands. Among them, computing offload is the most typical service of multi access edge computing. However, the computing power of edge nodes is limited by various factors, and not all businesses can be unloaded. At least one effective strategy is required to make the computing resources of edge nodes be used as much as possible. However, the existing scheme still has the possibility of improvement. This paper proposes an unloading strategy for the maximum expected completion time. The optimization method of this strategy is given to make the service quality as good as possible. The performance of this strategy is verified by simulation. At the same time, this unloading policy about the maximum expected completion time has good feasibility, and will not occupy unlimited storage resources.

Keywords： communication and information system multi-access edge computing calculate uninstallation resource allocation estimated completion time