Joint Optimization of Resource Constrained Mobile Terminal Task Unloading and Edge Computing Resource Scheduling

Abstract

With the continuous integration of Internet and cloud computing and the rapid popularization of mobile terminals, the development of mobile cloud computing has been promoted. However, applications such as Internet of vehicles, AR / VR and face recognition are sensitive to time delay. Unloading tasks to the cloud data center requires a long experiment, which can’t meet the application requirements. Computing resources and storage resources sink to the edge network, using wireless network communication to offload application tasks to edge access points can meet this demand, while the computing and storage resources at edge access points are limited. This paper proposes a joint optimization method of application task offloading and resource scheduling under the condition of limited resources at the edge. The simulation results show that this method can obtain less delay and lower energy consumption, it improves the user experience of the mobile terminal.