Högskolan i Skövde

his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
How is AI research applied in the field of network fault management
University of Skövde, School of Informatics.
2021 (English)Independent thesis Basic level (degree of Bachelor), 15 credits / 22,5 HE creditsStudent thesis
Abstract [en]

The internet growth rapidly increased by the years, and the traffic is increasing daily. The management of the network is becoming more and more complexed for humans to handle on their own, with that being said a new direction of using Artificial Intelligence (AI) technologies is being implemented in the direction of network fault management. In order to keep up with the development network, new solutions need to be implemented. Traditional network fault management are dependent of system administrators and there is too much human error that can happen during operations. That’s why AI is a great tool to be used in future network fault management. There are currently many challenges within network fault management, and this makes an opportunity for AI to be implemented. The studies shows that AI subpart “supervised learning” is the most popular used in network fault management. AI have shown that there is potential to tackle problems such as detection, prediction and also improve the system as whole.

Place, publisher, year, edition, pages
2021. , p. 40
Keywords [en]
Artificial intelligence, network fault management, fault management, detection, prediction, models, algorithms
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:his:diva-20124OAI: oai:DiVA.org:his-20124DiVA, id: diva2:1576542
Subject / course
Informationsteknologi
Educational program
Network and Systems Administration
Supervisors
Examiners
Available from: 2021-07-01 Created: 2021-07-01 Last updated: 2021-07-01Bibliographically approved

Open Access in DiVA

fulltext(1342 kB)1144 downloads
File information
File name FULLTEXT01.pdfFile size 1342 kBChecksum SHA-512
b31c3755998a51fd6419010948ef937d25e6d5ca0aa5fd4a7532368980d89b7c952bb25f7a42c9712bd274aef276ab89398a73fb925429bec0642113f7bd3b26
Type fulltextMimetype application/pdf

By organisation
School of Informatics
Information Systems, Social aspects

Search outside of DiVA

GoogleGoogle Scholar
Total: 1144 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 383 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf