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Fine-Grained Long-Range Prediction of Resource Usage in Computer Clusters
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.
Department of Electrical and Computer Engineering, Carnegie Mellon University, USA.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.
2017 (English)Report (Other academic)
Abstract [en]

In order to facilitate the development of intelligent resource managers of computer clusters, we investigate the utility of the state-of-the-art neural networks for the purpose of fine-grained long-range prediction of the resource usage in one such cluster. We consider a large data set of real-life traces and describe in detail our workflow, starting from making the data accessible for learning and finishing by predicting the resource usage of individual tasks multiple steps ahead. The experimental results indicate that such fine-grained traces as the ones considered possess a certain structure, and that this structure can be extracted by advanced machine-learning techniques and subsequently utilized for making informed predictions.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2017. , p. 6
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-140756OAI: oai:DiVA.org:liu-140756DiVA, id: diva2:1140333
Available from: 2017-09-12 Created: 2017-09-12 Last updated: 2018-01-13Bibliographically approved

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Ukhov, IvanEles, Petru IonPeng, Zebo

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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