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author:

Zhang, Dong (Zhang, Dong.) [1] (Scholars:张栋) | Zheng, Zhifan (Zheng, Zhifan.) [2] | Lin, Xiang (Lin, Xiang.) [3] (Scholars:林翔) | Chen, Xiang (Chen, Xiang.) [4] | Wu, Chunming (Wu, Chunming.) [5]

Indexed by:

SCIE CSCD

Abstract:

Service function chains (SFC) mapping takes the responsibility for managing virtual network functions (VNFs). In SFC mapping, existing solutions duplicate VNFs with redundant instances to provide high availability in response to failures. However, as a compromise, these solutions result in high resource consumption due to device maintenance. In this paper, we propose a novel method named dynamic backup sharing (DBS) that allows SFCs to dynamically share backups to reduce resource consumption. DBS formulates the problem of sharing backups among different VNFs as an integer linear programming (ILP). Thereafter, we design a novel online algorithm based on dynamic programming to solve the problem. The experimental results indicate that DBS outperforms state-of-the-art works by reducing resource consumption and improving the number of accepted requests.

Keyword:

backup sharing network function virtualization reliability service function chain mapping

Community:

  • [ 1 ] [Zhang, Dong]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350108, Peoples R China
  • [ 2 ] [Zheng, Zhifan]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350108, Peoples R China
  • [ 3 ] [Lin, Xiang]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350108, Peoples R China
  • [ 4 ] [Chen, Xiang]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350108, Peoples R China
  • [ 5 ] [Wu, Chunming]Zhejiang Univ, Coll Comp Sci & Technol, Hangzhou 310058, Peoples R China

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Source :

CHINA COMMUNICATIONS

ISSN: 1673-5447

CN: 11-5439/TN

Year: 2022

Issue: 5

Volume: 19

Page: 178-190

4 . 1

JCR@2022

3 . 1 0 0

JCR@2023

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:61

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 3

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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