Cloud-Edge Collaborative Task Scheduling Optimization Algorithm in Mobile Edge

Abstract

In edge computing, decision-making for task execution on edge devices with limited resources can significantly improve offloading efficiency and reduce application processing latency. Aiming at the offloading decision-making problem in the mobile edge computing environment, this paper proposes a network model and a task scheduling model to define the associated edge devices, collaborative edge devices, and cloud task execution. Meanwhile, we develop a joint optimization algorithm to obtain the optimal task scheduling solution associated under the task execution delay constraint. The simulation results highlight that the proposed joint optimization algorithm is faster to execute than other strategies and effectively adapts to large-scale task scheduling.