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Predicting Service Metrics of Cloud Applications with Neural Networks
KTH, School of Electrical Engineering (EES), Network and Systems engineering. (Management)
2017 (English)Report (Other academic)
Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2017.
Keyword [en]
cloud computing, machine learning, neural networks
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:kth:diva-200363OAI: oai:DiVA.org:kth-200363DiVA, id: diva2:1068491
Note

QC 20170126

Available from: 2017-01-25 Created: 2017-01-25 Last updated: 2017-01-25Bibliographically approved

Open Access in DiVA

fulltext(1105 kB)65 downloads
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File name FULLTEXT01.pdfFile size 1105 kBChecksum SHA-512
1f5682607690f3192b51ccb5ec241c3c118783c7da572b9e9f57161fc07630c96a70eb1c1a5ac422c38523551de70ae3bc8c232b3780fa605b4e85e71cc82d40
Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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