重庆邮电大学学报（自然科学版）2025，Vol.37Issue(4)：483-490,8.DOI:10.3979/j.issn.1673-825X.202405010109
低轨卫星网络中的多优先级虚拟网络功能迁移方案
A multi-priority virtual network function migration scheme in LEO satellite-based networks
摘要
Abstract
To address the migration challenges of virtual network functions(VNFs)caused by the resource demands of service function chains(SFCs)and the dynamic nature of low earth orbit(LEO)satellites,this paper proposes a multi-pri-ority VNF migration scheme.A network-wide delay model for multi-priority VNFs is established,and the optimization prob-lem is formulated as a Markov decision process.A deep reinforcement learning-based algorithm is developed to perform VNF prioritization and remedial migration.The algorithm predicts VNF resource requirements in advance to formulate priority-based migration strategies and introduces a remedial migration mechanism to mitigate service interruptions caused by predic-tion errors and relative satellite mobility.Simulation results demonstrate that the proposed scheme effectively reduces the o-verall network delay,particularly improving latency performance for high-priority services.关键词
虚拟网络功能/低轨卫星/迁移/优先级Key words
virtual network function/low earth orbit satellite/migration/priority分类
信息技术与安全科学引用本文复制引用
庄陵,杨甜..低轨卫星网络中的多优先级虚拟网络功能迁移方案[J].重庆邮电大学学报（自然科学版）,2025,37(4):483-490,8.基金项目
重庆市教育委员会科学技术研究项目(KJQN202200617) Scientific and Technological Research Project of Chongqing Municipal Education Commission(KJQN202200617) （KJQN202200617）
