2024年1月第1期25移动涵信Collaboration[]I-MobileCommunications2024,48(1):25-32DAICuiqin,BIANMengyue,DUTao,etal.ResourceSchedulinginSatellite-TerrestrialIntegratedNetworkswithEdge-Cloud引用格式:戴翠琴,下梦玥,杜涛,等.星地融合边云协同网络下的资源调度研究[J].移动通信,2024,48(1):25-32.P图分类号:TN929.5OSID:扫描二维码与作者交流总第521期第48卷星地融合边云协同网络下的资源调度研究*戴翠琴,卞梦玥,杜涛,廖明霞(重庆邮电大学通信与信息工程学院,重庆400065)【摘要】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。【关键词】星地融合;边云协同;算力网络;资源调度doi:10.3969/j.issn.1006-1010.20231210-0004文献标志码:A文章编号:1006-1010(2024)01-0025-08ResourceSchedulinginSatellite-TerrestrialIntegratedNetworkswithEdge-CloudCollaborationDAICuiqin,BIANMengyue,DUTao,LIAOMingxia(SchoolofCommunicationandInformationEngineering,ChongqingUniversityofPostsandTelecommunications,Chongqing400065,China)[Abstract]Leveragingthecomplementarystrengthsofedgecomputingandcloudcomputing,satellite-terrestrialintegratednetworksorientedtowards6Garecapableofachievingelasticallocationandcollaborativeutilizationofresources,meetingthereal-timeandintelligentrequirementsofdataprocessing.Toenhanceresourceservicecapabilitiesandthequalityofuserexperience,asatellite-terrestrialintegratednetworkarchitecturewithedge-cloudcollaborationisproposed.Thispaperfirstelaboratesonresourceschedulingschemesunderthreedifferentedge-cloudcollaborationmodels,analyzingresourceschedulingstrategiesinvariousscenariosfromtheperspectivesoflatency,energyconsumption,andmulti-objectiveoptimization.Subsequently,itcomparestheadvantagesandlimitationsofexistingresourcesch...