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Kurma: Fast and Efficient Load Balancing for Geo-Distributed Storage Systems: Evaluation of Convergence and Scalability
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Network Systems Laboratory (NS Lab).ORCID iD: 0000-0001-7642-6591
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Network Systems Laboratory (NS Lab). Université catholique de Louvain.
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Network Systems Laboratory (NS Lab).ORCID iD: 0000-0002-1256-1070
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS.ORCID iD: 0000-0002-6066-746X
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2018 (English)Report (Other academic)
Abstract [en]

This report provides an extended evaluation of Kurma, a practical implementation of a geo-distributed load balancer for backend storage systems. In this report we demonstrate the ability of distributed Kurma instances to accurately converge to the same solutions within 1% of the total datacenter’s capacity and the ability of Kurma to scale up to 8 datacenters using a single CPU core at each datacenter.

Place, publisher, year, edition, pages
2018.
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-222289OAI: oai:DiVA.org:kth-222289DiVA, id: diva2:1180496
Note

QR 20180212

Available from: 2018-02-05 Created: 2018-02-05 Last updated: 2018-02-12Bibliographically approved

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fulltext(340 kB)93 downloads
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Type fulltextMimetype application/pdf

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Bogdanov, KirillReda, WaleedKostic, DejanMaguire Jr., Gerald Q.
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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
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf