Adaptive LRFU replacement policy for named data network in industrial IoT

被引:3
|
作者
Putra, Made Adi Paramartha [1 ]
Kim, Dong-Seong [1 ]
Lee, Jae-Min [1 ]
机构
[1] Kumoh Natl Inst Technol, Dept IT Convergence Engn, Networked Syst Lab, Gumi, South Korea
来源
ICT EXPRESS | 2022年 / 8卷 / 02期
关键词
Adaptive LRFU; Content caching; Industrial IoT; NDN replacement policy; Deep Learning (DL) approach [2-4;
D O I
10.1016/j.icte.2021.10.004
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, an adaptive least recently frequently used (LRFU) replacement policy is proposed for named data network (NDN) in the industrial internet of things (IIoT) environment. Low-latency network communication has become the main focus in IIoT development. By applying NDN architecture with the proposed replacement policy, the system can minimize the network latency of IIoT due to the NDN router's capabilities to cache content. The simulation result shows that the proposed adaptive LRFU outperforms other popular replacement policies based on various network performances metrics. In addition, future research trends regarding the testbed implementation NDN replacement policy are suggested. (C) 2021 The Authors. Published by Elsevier B.V. on behalf of The Korean Institute of Communications and Information Sciences. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:258 / 263
页数:6
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