计算机工程2025，Vol.51Issue(5)：52-61,10.DOI:10.19678/j.issn.1000-3428.0069471
空天地一体化算力网络资源调度机制
Resource Scheduling Mechanism for Space-Air-Ground Integrated Computing Power Networks
摘要
Abstract
In response to the increasing demand for fast response and large-scale coverage in application scenarios such as satellite data processing and vehicle remote control,this study focuses on utilizing hierarchical control and artificial intelligence technology to design a resource scheduling mechanism for space-air-ground integrated computing power networks.Air,space,and ground networks are divided into three domains,and domain controllers are deployed for resource management in the corresponding local domain.The areas are divided based on the coverage of satellites and drones to ensure that they can achieve effective service guarantees,efficient data transmission,and task processing.A multi-agent reinforcement learning-based scheduling algorithm is proposed to optimize resource utilization in space-air-ground integrated computing power networks,considering each domain controller is treated as an agent with task scheduling and resource allocation capabilities.Intelligent resource scheduling and efficient resource allocation for computing tasks are realized through collaborative learning and distributed decision-making with satisfactory delay and energy consumption constraints.Computing tasks are generated in different scenarios and processed in real time.Simulation results show that the proposed mechanism can effectively improve resource utilization and shorten task response time.关键词
空天地一体化网络/算力网络/任务调度/资源分配/多智能体强化学习Key words
Space-Air-Ground Integrated Network(SAGIN)/computing power network/task scheduling/resource allocation/multi-agent reinforcement learning分类
信息技术与安全科学引用本文复制引用
王克文,张维庭,孙童..空天地一体化算力网络资源调度机制[J].计算机工程,2025,51(5):52-61,10.基金项目
国家自然科学基金(62201029,62394321) （62201029,62394321）
中国博士后科学基金(2022M710007,BX20220029). （2022M710007,BX20220029）
