Service Continuity Guarantee for Coordinated Optimization of Offloading and Migration in LEO Satellite Computing Power Networks

Low earth orbit (LEO) satellite computing power networks have become an important field of next-generation communication and computing technology due to their global coverage and low-latency characteristics. However, due to the high-speed movement of satellites, LEO satellite computing power networks face challenges such as service interruptions and fluctuations in communication delays. Traditional methods mostly focus on the single strategy of computing offloading or service migration, which is difficult to adapt to the highly dynamic scenarios of LEO satellite computing power networks. To this end, this paper proposes a dynamic decision-making mechanism driven by the collaboration of computing offloading and service migration, models the service continuity guarantee problem as a nonlinear integer programming problem, and uses an artificial electric field algorithm to solve the net utility of the three schemes of computing offloading, service migration, and continued service of the original node, and dynamically adjusts the computing offloading and service migration strategies. The simulation results show that this scheme effectively guarantees the continuity of user services under the LEO satellite computing power networks while improving service utility.