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DejaVu: Accelerating Resource Allocation in Virtualized Environments
EPFL.ORCID iD: 0000-0002-1256-1070
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2012 (English)In: Proceedings of the Seventeenth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Association for Computing Machinery (ACM), 2012, -436 p.Conference paper, Published paper (Refereed)
Abstract [en]

Effective resource management of virtualized environments is a challenging task. State-of-the-art management systems either rely on analytical models or evaluate resource allocations by running actual experiments. However, both approaches incur a significant overhead once the workload changes. The former needs to recalibrate and re-validate models, whereas the latter has to run a new set of experiments to select a new resource allocation. During the adaptation period, the system may run with an inefficient configuration.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2012. -436 p.
Keyword [en]
Resource management, Data center, Virtualization
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-147106DOI: 10.1145/2150976.2151021Scopus ID: 2-s2.0-84858783217ISBN: 978-1-4503-0759-8 (print)OAI: oai:DiVA.org:kth-147106DiVA: diva2:727677
Conference
The Seventeenth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), London, UK, March 3–7 2012
Note

Qc 20140707

Available from: 2014-06-23 Created: 2014-06-23 Last updated: 2014-07-07Bibliographically approved

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fulltext(722 kB)202 downloads
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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
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  • Other style
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  • en-GB
  • en-US
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  • nn-NB
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Output format
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