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Latency and Traffic Aware Container Placement in Distributed Cloud
Linköping University, Department of Computer and Information Science, Software and Systems.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Distributed cloud is a key technology for 5G networks and is emerging as an alternative cloud infrastructure for hosting latency critical and traffic-intense applications. Placing computational resources on the edge of networks allows applications to be hosted closer to end users and traffic generating sources, which will reduce latency and traffic deeper in the network. This thesis presents a two-phase approach to solve the combinatorial op-timization problem of latency and traffic aware container placement in distributed cloud. Each phase is evaluated using a phase-specific simulated environment. The first phase involves placing containers in data centers and is solved using an integer programming model. Three different objective functions are presented and evaluated using acceptance ratio and average cost as performance metrics. In the second phase, containers are placed in servers. A traffic-aware heuristic is presented and evaluated against traditional bin packing heuristics. The traffic-aware heuristic managed to drastically reduce all traffic-related metrics at the cost of a few additional active servers in comparison to the bin packing heuristics. The traffic-aware heuristic can therefore be a good approach when placing traffic-intense applications in data centers in order to avoid network congestion.

Place, publisher, year, edition, pages
2019. , p. 46
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-162258ISRN: LIU-IDA/LITH-EX-A--19/088--SEOAI: oai:DiVA.org:liu-162258DiVA, id: diva2:1373018
External cooperation
Ericsson
Subject / course
Computer Engineering
Supervisors
Examiners
Available from: 2019-11-27 Created: 2019-11-26 Last updated: 2019-11-27Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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