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author:

Chen, Xiang (Chen, Xiang.) [1] | Du, Hongyang (Du, Hongyang.) [2] | Liu, Wenjing (Liu, Wenjing.) [3] | Liu, Hongyan (Liu, Hongyan.) [4] | Zhang, Jianshan (Zhang, Jianshan.) [5] | Yang, Xu (Yang, Xu.) [6] | Zhang, Dong (Zhang, Dong.) [7] | Wu, Chunming (Wu, Chunming.) [8] | Liu, Xuan (Liu, Xuan.) [9] | Niyato, Dusit (Niyato, Dusit.) [10]

Indexed by:

EI

Abstract:

For decades, network virtualization plays a crucial role in modern networks, e.g., 6G mobile networks: tenants construct arbitrary virtual networks on the same physical network. However, production networks are becoming programmable and need more ways of network configurations. So prior techniques like SDN hypervisors are deprecated since they cannot configure programmable networks. In response, a new category of network virtualization techniques has emerged recently to virtualize programmable networks, i.e., programmable network hypervisors (PNHs). This article first reviews this trend to comprehensively survey PNHs. To understand their benefits, we build a testbed with hardware switches and sophisticated topologies. Our testbed experiments stress-test hypervisors and demonstrate that they outperform prior works with higher acceptance ratios of virtual networks under large-scale scenarios and heavy loads. Finally, we highlight the open issues of these techniques to shed light on the future directions in this promising topic. © 1986-2012 IEEE.

Keyword:

Virtualization

Community:

  • [ 1 ] [Chen, Xiang]Zhejiang University, College of Computer Science and Technology, Hangzhou; 310027, China
  • [ 2 ] [Du, Hongyang]The University of Hong Kong, Department of Electrical and Electronic Engineering, Pokfulam, Hong Kong
  • [ 3 ] [Liu, Wenjing]Zhejiang Media Group, Hangzhou; 310005, China
  • [ 4 ] [Liu, Hongyan]Zhejiang University, College of Computer Science and Technology, Hangzhou; 310027, China
  • [ 5 ] [Zhang, Jianshan]Minjiang University, Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, College of Computer and Data Science, Fuzhou; 350108, China
  • [ 6 ] [Yang, Xu]Minjiang University, Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, College of Computer and Data Science, Fuzhou; 350108, China
  • [ 7 ] [Zhang, Dong]Fuzhou University, College of Computer and Data Science, Fuzhou; 350108, China
  • [ 8 ] [Wu, Chunming]Zhejiang University, College of Computer Science and Technology, Hangzhou; 310027, China
  • [ 9 ] [Liu, Xuan]Yangzhou University, College of Information Engineering, College of Artificial Intelligence, Yangzhou; 225009, China
  • [ 10 ] [Niyato, Dusit]Nanyang Technological University, College of Computing and Data Science, Jurong West, 639798, Singapore

Reprint 's Address:

  • [zhang, jianshan]minjiang university, fujian provincial key laboratory of information processing and intelligent control, college of computer and data science, fuzhou; 350108, china

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Source :

IEEE Network

ISSN: 0890-8044

Year: 2025

Issue: 3

Volume: 39

Page: 148-155

6 . 8 0 0

JCR@2023

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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