Abstract: Aiming at the offloading decision problem of collaborative edge computing in GEO and LEO integrated satellite networks, an offloading decision algorithm for satellite network edge computing is proposed, which considers task-dependent joint computing resources, wireless resource allocation and task scheduling. Firstly, the task offloading problem is modeled as a joint optimization problem of minimizing task delay and energy consumption, then energy consumption and delay are introduced into the subtask priority definition, and a heuristic search offloading strategy is carried out based on dynamic priority. The dependencies between subtasks also take into account the radio resource allocation. The simulation results show that, compared with the existing work, the proposed algorithm can shorten the task execution delay of the co-computing of GEO and LEO satellites and can reduce the power consumption of LEO satellites.

Key words: satellite network, edge computing, task offloading, radio resource allocation