Service Function Chain Migration in LEO Satellite Networks

被引：0
作者：
Geng, Yuhui [1 ,2 ]
Wang, Niwei [3 ]
Chen, Xi [3 ,4 ]
Xu, Xiaofan [3 ,4 ]
Zhou, Changsheng [3 ]
Yang, Junyi [1 ,2 ]
Xiao, Zhenyu [1 ,2 ]
Cao, Xianbin [1 ,2 ]
机构：
[1] Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China
[2] Minist Ind & Informat Technol China, Key Lab Adv Technol Near Space Informat Syst, Beijing 100191, Peoples R China
[3] Shanghai Key Lab Satellite Network, Shanghai 201204, Peoples R China
[4] Shanghai Satellite Network Res Inst Co Ltd, Shanghai 201204, Peoples R China
来源：
CHINA COMMUNICATIONS | 2024年 / 21卷 / 03期
基金：
北京市自然科学基金; 中国国家自然科学基金;
关键词：
network function virtualization (NFV); re- source allocation; satellite networks; service function chain (SFC); SFC migration; SFC placement; RESOURCE OPTIMIZATION; VIRTUALIZATION;
D O I：
10.23919/JCC.fa.2023-0459.202403
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
With the advancements of software defined network (SDN) and network function virtualization (NFV), service function chain (SFC) placement becomes a crucial enabler for flexible resource scheduling in low earth orbit (LEO) satellite networks. While due to the scarcity of bandwidth resources and dynamic topology of LEO satellites, the static SFC placement schemes may cause performance degradation, resource waste and even service failure. In this paper, we consider migration and establish an online migration model, especially considering the dynamic topology. Given the scarcity of bandwidth resources, the model aims to maximize the total number of accepted SFCs while incurring as little bandwidth cost of SFC transmission and migration as possible. Due to its NP -hardness, we propose a heuristic minimized dynamic SFC migration (MDSM) algorithm that only triggers the migration procedure when new SFCs are rejected. Simulation results demonstrate that MDSM achieves a performance close to the upper bound with lower complexity.
引用
收藏
页码：247 / 259
页数：13
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