prikaz prve stranice dokumenta Automatsko skaliranje horizontalno skalabilnih komponenti raspodijeljenog sustava
No public access
master's thesis
Automatsko skaliranje horizontalno skalabilnih komponenti raspodijeljenog sustava
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:724607
Jež, Lucija
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Jež, L. (2021). Automatsko skaliranje horizontalno skalabilnih komponenti raspodijeljenog sustava (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:724607

Jež, Lucija. "Automatsko skaliranje horizontalno skalabilnih komponenti raspodijeljenog sustava." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:724607

Jež, Lucija. "Automatsko skaliranje horizontalno skalabilnih komponenti raspodijeljenog sustava." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:724607

Jež, L. (2021). 'Automatsko skaliranje horizontalno skalabilnih komponenti raspodijeljenog sustava', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:724607

Jež L. Automatsko skaliranje horizontalno skalabilnih komponenti raspodijeljenog sustava [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 December 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:724607

L. Jež, "Automatsko skaliranje horizontalno skalabilnih komponenti raspodijeljenog sustava", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:724607

Metadata
TitleAutomatsko skaliranje horizontalno skalabilnih komponenti raspodijeljenog sustava
Title (english)Automatic scaling of horizontally scalable components of a distributed system
AuthorLucija Jež
MentorIgor Mekterović (mentor)
Committee memberIgor Mekterović (predsjednik povjerenstva)
Committee memberBoris Milašinović (član povjerenstva)
Committee memberLjiljana Brkić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-02-25, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Raspodijeljeni informacijski sustavi imaju više komponenti od kojih su neke horizontalno skalabilne, odnosno moguće je pokretati više instanci iste komponente kako bi sustav mogao zadovoljiti povećane zahtjeve korisnika. Istražene su i uspoređene tehnologije otvorenog koda za kontejnerizaciju i orkestraciju. Za ovaj rad odabran je Kubernetes za orkestraciju, dok se za kontejnerizaciju koristio Docker. Stvoren je Kubernetes klaster i istraženo je na testnim primjerima kako automatski skalirati horizontalno skalabilne komponente. Edgar je informacijski sustav za automatsko ocjenjivanje programskih zadataka na FER-u. Proučena je njegova arhitektura, te su njegove komponente prilagođene za rad u Kubernetes klasteru. Testirano je automatsko skaliranje njegovih komponenti. Istražen je rad Kubernetesa u oblaku. Isproban je Google Kubernetes Engine, u kojem je stvoren klaster i pokrenuti testni primjeri.
Abstract (english)
Distributed information systems have several components, some of which are horizontally scalable. It is possible to run multiple instances of the same components so that the system can meet the increased demands of users. Open source technologies for containerization and orchestration were analysed and compared. For this work, Kubernetes was chosen for orchestration, while Docker was used for containerization. Kubernetes cluster was created and automatic horizontal scaling was tested on components of example applications. Edgar is an information system for automatic evaluation of program tasks at FER. Its architecture has been examined. Edgar’s components have been adapted to work in Kubernetes cluster and automatically scaled. Also, Kubernetes in the cloud was studied and tested on Google Kubernetes Engine using example applications.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:724607
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2023-01-13 10:07:10