In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
See More
Technology of Network & Communication
|
App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 11
3467-3470,3475

Research on node diagnosis of network fault under PMC model

Liu Feng1,2
Liang Jiarong1,2
Guo Yang1,2
Xie Min1
Mo Haimiao1,2
1. School of Computer & Electronics Information, Nanning 530004, China
2. Guangxi Key Laboratory of Multimedia Communications & Network Technology, Nanning 530004, China
DOI: 10.19734/j.issn.1001-3695.2018.04.0278

Abstract

Most of traditional fault diagnosis research ignored characteristics of local structure. For that problem under PMC model, this paper introduced the definition of node diagnosis. And through the study by nodes diagnosis, it obtained the sufficient condition of the node diagnosiability and got a new t-diagnosis algorithm called STFDA. Finally, it performed an analysis from the angle of node diagnosis of n-dimensional hypercube network and n-dimensional star network in order to test the validity of the sufficient conditions. This algorithm performed a fault diagnosis to the two kinds of network at last. Indeed, the implementation of the sufficient condition and algorithm got the help of a new structure called ST. And the algorithm's time complexity was proved to be O(Nδ), with δ equal to the maximum degree of node in network, which was significantly reduced compared with others algorithm.

Foundation Support

国家自然科学基金资助项目(61363002)
广西自然科学基金资助项目(2016GXNSFAA380134)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.04.0278
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Technology of Network & Communication
Pages: 3467-3470,3475
Serial Number: 1001-3695(2019)11-061-3467-04

Publish History

[2019-11-05] Printed Article

Cite This Article

刘峰, 梁家荣, 郭杨, 等. PMC模型下网络故障的节点可诊断研究 [J]. 计算机应用研究, 2019, 36 (11): 3467-3470,3475. (Liu Feng, Liang Jiarong, Guo Yang, et al. Research on node diagnosis of network fault under PMC model [J]. Application Research of Computers, 2019, 36 (11): 3467-3470,3475. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)