Dynamic Network Function Provisioning to Enable Network in Box for Industrial Applications

被引：119

作者：

Sun, Gang ^{[1
,2
]}

Xu, Zhu ^{[1
]}

Yu, Hongfang ^{[1
,3
]}

Chang, Victor ^{[4
]}

机构：

[1] Univ Elect Sci & Technol China, Minist Educ, Key Lab Opt Fiber Sensing & Commun, Chengdu 611731, Peoples R China

[2] Agile & Intelligent Comp Key Lab Sichuan Prov, Chengdu 611731, Peoples R China

[3] Peng Cheng Lab, Shenzhen 518066, Peoples R China

[4] Teesside Univ, Sch Comp & Digital Technol, Artificial Intelligence & Informat Syst Res Grp, Middlesbrough TS1 3BX, Cleveland, England

来源：

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | 2021年 / 17卷 / 10期

关键词：

6G mobile communication; Machine learning algorithms; Service function chaining; Heuristic algorithms; Software; Network function virtualization; Mathematical model; 6G; latency; network function provisioning; network in box; resource efficiency;

D O I：

10.1109/TII.2020.3042872

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Network function virtualization (NFV) in 6G can use standard virtualization techniques to enable network functions via software. Resource scheduling is one of the key research areas of NFV in 6G and is mainly used to deploy service function chains (SFCs) in substrate networks. However, determining how to utilize network resources efficiently has always been a difficult problem in SFC deployment. This article focuses on how to efficiently provision online SFC requests in NFV with 6G. We first establish a mathematical model for the problem of online SFC provisioning. Then, we propose an efficient online service function chain deployment (OSFCD) algorithm that selects the path to deploy that is close to the SFC length. Finally, we compare our proposed algorithm with three other existing algorithms by simulation experiments. The experimental results show that the OSFCD algorithm optimizes multiple performance indicators of online SFC deployment.

引用

页码：7155 / 7164

页数：10

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