OD Traffic Maps Recovery for Web 3.0 by Network Tomography in Hankel Tensor Space

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成果类型：

期刊论文

作者：

Wang, Chao;Zeng, Jiuzhen;Yang, Laurence T.;Yang, Xiangli;Deng, Xianjun;...

通讯作者：

Zeng, JZ

作者机构：

[Zeng, Jiuzhen; Wang, Chao; Zeng, JZ] Univ South China, Sch Elect Engn, Hengyang 421001, Peoples R China.

[Yang, Laurence T.] Zhengzhou Univ, Sch Comp & Artificial Intelligence, Zhengzhou 450001, Peoples R China.

[Yang, Laurence T.; Deng, Xianjun] Huazhong Univ Sci & Technol, Sch Cyber Sci & Engn, Wuhan 430074, Peoples R China.

[Zeng, Jiuzhen; Zeng, JZ] St Francis Xavier Univ, Dept Comp Sci, Antigonish, NS B2G 2W5, Canada.

[Yang, Xiangli] Technol Univ Dublin, Grangegorman DO7 H6K8, Ireland.

通讯机构：

[Zeng, JZ ] U

Univ South China, Sch Elect Engn, Hengyang 421001, Peoples R China.

St Francis Xavier Univ, Dept Comp Sci, Antigonish, NS B2G 2W5, Canada.

语种：

英文

关键词：

Tensors;Semantic Web;Telecommunication traffic;Routing;Load modeling;Tomography;Correlation;Accuracy;Data models;Discrete Fourier transforms;Origin-destination traffic;network tomography;hankel;tensor theories and methods;web 3.0

期刊：

IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING

ISSN：

2327-4697

年：

2025

卷：

期：

页码：

1-13

DOI：

10.1109/TNSE.2025.3542603

基金类别：

Natural Science Foundation of Hunan Province [2025JJ50390]

机构署名：

本校为第一且通讯机构

院系归属：

电气工程学院

摘要：

In the emerging Web 3.0, origin-destination (OD) traffic maps play a crucial role in network maintenance and management. However, increasing network size and complexity, as well as insufficient or invalid NetFlow protocol-based measurements pose numerous challenges to recovering traffic maps for Web 3.0. This paper therefore proposes RNT-HTT, a robust Network Tomography model based on Hankel time-structured tensor, to accurately recover OD traffic maps with link loads and a fraction of NetFlow counts in Hankel tensor space. More specifically, we propose to Hankelize both OD traffic and link lo...

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OD Traffic Maps Recovery for Web 3.0 by Network Tomography in Hankel Tensor Space

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