Change search
CiteExportLink to record
Permanent link

Direct link
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
Performance Analysis of the Impact of Vertical Scaling on Application Containerized with Docker: Kubernetes on Amazon Web Services - EC2
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 80 credits / 120 HE creditsStudent thesis
Abstract [en]

Containers are being used widely as a base technology to pack applications and microservice architecture is gaining popularity to deploy large scale applications, with containers running different aspects of the application. Due to the presence of dynamic load on the service, a need to scale up or scale down compute resources to the containerized applications arises in order to maintain the performance of the application. Objectives To evaluate the impact of vertical scaling on the performance of a containerized application deployed with Docker container and Kubernetes that includes identification of the performance metrics that are mostly affected and hence characterize the eventual negative effect of vertical scaling. Method Literature study on kubernetes and docker containers followed by proposing a vertical scaling solution that can add or remove compute resources like cpu and memory to the containerized application. Results and Conclusions Latency and connect times were the analyzed performance metrics of the containerized application. From the obtained results, it was concluded that vertical scaling has no significant impact on the performance of a containerized application in terms of latency and connect times.

Place, publisher, year, edition, pages
2019. , p. 43
Keywords [en]
Docker, Amazon EC2, Kubernetes, Elasticity, Scaling
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-18189OAI: oai:DiVA.org:bth-18189DiVA, id: diva2:1333534
Subject / course
ET2580 Master's Thesis (120 credits) in Electrical Engineering with emphasis on Telecommunication Systems
Educational program
ETATE Master of Science Programme in Electrical Engineering with emphasis on Telecommunication Systems
Presentation
2019-06-04, G412, BTH, Karlskrona, 08:30 (English)
Supervisors
Examiners
Available from: 2019-07-12 Created: 2019-07-01 Last updated: 2019-07-12Bibliographically approved

Open Access in DiVA

BTH2019Midigudla(3185 kB)32 downloads
File information
File name FULLTEXT02.pdfFile size 3185 kBChecksum SHA-512
c5cc4fa154a38de36bdec42393a278da9ddef0c23aa861b66a6c323b9aacbfe06697280f49960b6c11f430325c3cd4b7627d82632d3e2a4b0b1471d61ab86da4
Type fulltextMimetype application/pdf

By organisation
Department of Computer Science
Telecommunications

Search outside of DiVA

GoogleGoogle Scholar
Total: 32 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 93 hits
CiteExportLink to record
Permanent link

Direct link
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