Intelligent Elastic Scheduling Algorithm for Multi-Resource Low Earth Orbit Satellite Networks

With the rapid development of satellite technology, satellite systems have gradually evolved into complex networks integrating multiple resources, such as bandwidth, storage, and energy. Modern low earth orbit (LEO) satellite networks are playing an increasingly important role in global communication, navigation, and the Internet of things (IoT). However, as the number of satellites grows and the diversity of resources increases, the complexity of satellite resource scheduling has also intensified. Existing single-resource scheduling methods are insufficient to meet the demands of such complex networks. To address this issue, this paper proposes a multi-resource intelligent elastic scheduling (MRIES) algorithm, aimed at optimizing task allocation and scheduling, improving resource utilization, and maximizing task completion efficiency. Simulation results demonstrate the effectiveness of the proposed algorithm in multi-resource scheduling scenarios.