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author:

Yu, Hui (Yu, Hui.) [1] | Yang, Jiejie (Yang, Jiejie.) [2] | Lin, Limei (Lin, Limei.) [3] | Huang, Yanze (Huang, Yanze.) [4] | Li, Jine (Li, Jine.) [5] | Chen, Riqing (Chen, Riqing.) [6]

Indexed by:

SCIE

Abstract:

The connectivity of a graph is a classic measure for fault tolerance of the network. Restricted connectivity measure is a crucial subject for a multiprocessor system's ability to tolerate fault processors, and improves the connectivity measurement accuracy. Furthermore, if a network possesses a restricted connectivity property, it is more reliable with a lower vertex failure rate compared with other networks. The -dimensional enhanced hypercube, denoted by , a variant of hypercube, which is a well-known interconnection network. In this paper, we analyze the fault tolerant properties for -enhanced hypercube, and establish the -restricted connectivity of and -restricted connectivity of -enhanced hypercube . Furthermore, we propose the tight upper bound of -restricted connectivity of . Moreover, we show many figures to better illustrate the process of the proofs.

Keyword:

enhanced hypercube fault tolerance reliability restricted connectivity

Community:

  • [ 1 ] [Yu, Hui]Fujian Agr & Forestry Univ, Fac Comp & Informat Sci, Digital Fujian Inst Big Data Agr & Forestry, Fuzhou 350002, Fujian, Peoples R China
  • [ 2 ] [Lin, Limei]Fujian Agr & Forestry Univ, Fac Comp & Informat Sci, Digital Fujian Inst Big Data Agr & Forestry, Fuzhou 350002, Fujian, Peoples R China
  • [ 3 ] [Li, Jine]Fujian Agr & Forestry Univ, Fac Comp & Informat Sci, Digital Fujian Inst Big Data Agr & Forestry, Fuzhou 350002, Fujian, Peoples R China
  • [ 4 ] [Chen, Riqing]Fujian Agr & Forestry Univ, Fac Comp & Informat Sci, Digital Fujian Inst Big Data Agr & Forestry, Fuzhou 350002, Fujian, Peoples R China
  • [ 5 ] [Yang, Jiejie]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350116, Fujian, Peoples R China
  • [ 6 ] [Lin, Limei]Fujian Normal Univ, Collage Math & Informat, Fuzhou 350117, Fujian, Peoples R China
  • [ 7 ] [Huang, Yanze]Fujian Univ Technol, Sch Math & Phys, Fujian Prov Key Lab Big Data Min & Applicat, Fuzhou 350118, Fujian, Peoples R China

Reprint 's Address:

  • [Lin, Limei]Fujian Agr & Forestry Univ, Fac Comp & Informat Sci, Digital Fujian Inst Big Data Agr & Forestry, Fuzhou 350002, Fujian, Peoples R China;;[Chen, Riqing]Fujian Agr & Forestry Univ, Fac Comp & Informat Sci, Digital Fujian Inst Big Data Agr & Forestry, Fuzhou 350002, Fujian, Peoples R China;;[Lin, Limei]Fujian Normal Univ, Collage Math & Informat, Fuzhou 350117, Fujian, Peoples R China

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Source :

COMPUTER JOURNAL

ISSN: 0010-4620

Year: 2020

Issue: 9

Volume: 63

Page: 1355-1371

1 . 4 9 4

JCR@2020

1 . 5 0 0

JCR@2023

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:149

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 4

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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