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Elastic Scaling in the Cloud: A Multi-Tenant Perspective
KTH.
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.
2016 (English)In: 2016 IEEE 36TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS WORKSHOPS (ICDCSW 2016), IEEE conference proceedings, 2016, p. 25-30Conference paper, Published paper (Refereed)
Abstract [en]

Performance interference in the hosting platform introduces uncertainty in the performance guarantees of provisioned services. Existing elasticity controllers are either unaware of this interference or over-provision resources to meet the SLO. In this paper, we take a holistic view on elastic scaling from a multi-tenant perspective. We show that performance interference can significantly impact the accuracy of scaling and result in long periods of SLO violation. Using Memcached as a case-study, we show that making an elasticity controller interference aware can improve the accuracy of scaling decisions and significantly reduce the periods of SLO violation.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2016. p. 25-30
Series
IEEE International Conference on Distributed Computing Systems Workshops, ISSN 1545-0678
Keywords [en]
Elasticity, Performance interference, Cloud, Predictable Performance
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-201292DOI: 10.1109/ICDCSW.2016.36ISI: 000391549500005Scopus ID: 2-s2.0-85006751375OAI: oai:DiVA.org:kth-201292DiVA, id: diva2:1074056
Conference
36th IEEE International Conference on Distributed Computing Systems (ICDCS), JUN 27-30, 2016, Nara, JAPAN
Note

QC 20170214

Available from: 2017-02-14 Created: 2017-02-14 Last updated: 2018-01-13Bibliographically approved

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Vlassov, Vladimir

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  • apa
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Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
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