Delay-Optimal Task Scheduling and Resource Allocation with Collaborative Computation Offloading in Satellite Edge Computing

Satellite edge computing networks are gaining momentum, necessitating efficient task scheduling and resource allocation to optimize performance. This paper focuses on collaborative computing among multiple edge satellites, addressing the dynamic nature of satellite networks and energy constraints. We propose the Delay-Optimal Task Scheduling Offloading and Resource Allocation (DO-TSO-RA) algorithm to minimize task processing delay and ensure network stability. By decomposing the problem into task scheduling, offloading, and resource allocation subproblems and employing alternating optimization and sequential task scheduling algorithm to solve them. Finally simulations demonstrates superior performance of DO-TSORA in reducing task delay and improving resource utilization compared to existing methods.