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Location-aware Load Prediction in Edge Data Centers
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Distributed Systems)ORCID iD: 0000-0002-9156-3364
(Distributed Systems)
(Distributed Systems)
2017 (English)Conference paper (Other (popular science, discussion, etc.))
Place, publisher, year, edition, pages
2017.
Keyword [en]
Workload Prediction, Proactive Resource Management, Mobile Edge Cloud, VAR Model, User Mobility
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:umu:diva-135700OAI: oai:DiVA.org:umu-135700DiVA: diva2:1105213
Conference
The 2nd International Conference on Fog and Mobile Edge Computing
Projects
WASP
Available from: 2017-06-02 Created: 2017-06-02 Last updated: 2017-06-02

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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