Deep Adversarial Tensor Completion for Accurate Network Traffic Measurement

Author:

Xie Kun1ORCID,Ouyang Yudian1,Wang Xin2ORCID,Xie Gaogang3ORCID,Li Kenli1ORCID,Liang Wei4ORCID,Cao Jiannong5ORCID,Wen Jigang1

Affiliation:

1. College of Computer Science and Electronics Engineering, Hunan University, Changsha, China

2. Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA

3. Computer Network Information Center, Chinese Academy of Sciences, Beijing, China

4. School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China

5. Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Software

Reference48 articles.

1. Information-centric framework for the Internet of Things (IoT): Traffic modeling & optimization

2. Scalable tensor factorizations for incomplete data

3. Distributed measurement-aware routing: Striking a balance between measurement and traffic engineering;chang;Proc IEEE InfoCom,2012

4. Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm

5. tpprof: A network traffic pattern profiler;yaseen;Proc NSDI,2020

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