郑州大学学报（理学版）2025，Vol.57Issue(4)：15-22,39,9.DOI:10.13705/j.issn.1671-6841.2023284
面向云边端协同网络的eBPF赋能任务卸载研究
An eBPF-empowered Task Offloading Approach for Cloud-edge-end Collaborative Networks
摘要
Abstract
As a key enabling technology for cloud-edge-end collaborative networks,computing offloading is an effective approach to alleviate issues like insufficient computing capabilities and limited resources in edge embedded devices.Some existing studies focused primarily on reducing latency and energy con-sumption in simulated settings.Yet accurately perceiving the real-time dynamics of cloud-edge-end col-laborative networks and implementing flexible task offloading strategies remained an urgent challenge to tackle.FreeOffload,a task offloading framework for Cloud-Edge-End Collaborative Networks was pro-posed.Leveraging eBPF technology,FreeOffload realized real-time awareness of computing resources and network status.It also incorporated flexible task re-offloading schemes tailored for heterogeneous embed-ded end devices,which achieved load balancing across edge nodes.A small-scale cloud-edge-end proto-type tested for evaluation was constructed.Results demonstrated that FreeOffload while efficiently and flexibly offloaded tasks from end devices,with low overhead.关键词
云边端协同网络/拓展的伯克利包过滤器/任务卸载/负载均衡Key words
cloud-edge-end collaborative network/extended Berkeley packet filter/task offloading/load balance分类
计算机与自动化引用本文复制引用
李硕,严飞,张立强,罗清彩,杨小林..面向云边端协同网络的eBPF赋能任务卸载研究[J].郑州大学学报（理学版）,2025,57(4):15-22,39,9.基金项目
湖北省重大研究计划项目(2023BAA027) （2023BAA027）
国家重点研发计划项目(2022YFB3103804) （2022YFB3103804）
