星地融合边云协同网络下的资源调度研究

Resource Scheduling in Satellite-Terrestrial Integrated Networks with Edge-Cloud Collaboration

通过边缘计算和云计算的优势互补,面向6G的星地融合网络能够实现资源的弹性分配和协同利用,满足数据处理的实时性和智能化要求。为了提升资源服务能力和用户体验质量,提出了星地融合边云协同网络架构。首先,阐述了三种不同边云协同模式下的资源调度方案,从时延、能耗和多目标优化的角度分析了不同场景下的资源调度策略。然后,对比了现有资源调度求解模型和算法的优势和局限性。最后,对基于边云协同的星地融合网络中的资源调度研究进行了总结与展望。

Leveraging the complementary strengths of edge computing and cloud computing,satellite-terrestrial integrated networks oriented towards 6G are capable of achieving elastic allocation and collaborative utilization of resources,meeting the real-time and intelligent requirements of data processing.To enhance resource service capabilities and the quality of user experience,a satellite-terrestrial integrated network architecture with edge-cloud collaboration is proposed.This paper first elaborates on resource scheduling schemes under three different edge-cloud collaboration models,analyzing resource scheduling strategies in various scenarios from the perspectives of latency,energy consumption,and multi-objective optimization.Subsequently,it compares the advantages and limitations of existing resource scheduling solution models and algorithms.Finally,the paper concludes with a summary and future outlook on resource scheduling research in satellite-terrestrial integrated networks based on edge-cloud collaboration.