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master's thesis
Raspodijeljeno ocjenjivanje brzih tokova podataka
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:215491
Vezmar, Boris
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Vezmar, B. (2020). Raspodijeljeno ocjenjivanje brzih tokova podataka (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:215491

Vezmar, Boris. "Raspodijeljeno ocjenjivanje brzih tokova podataka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:215491

Vezmar, Boris. "Raspodijeljeno ocjenjivanje brzih tokova podataka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:215491

Vezmar, B. (2020). 'Raspodijeljeno ocjenjivanje brzih tokova podataka', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 29 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:215491

Vezmar B. Raspodijeljeno ocjenjivanje brzih tokova podataka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 August 29] Available at: https://urn.nsk.hr/urn:nbn:hr:168:215491

B. Vezmar, "Raspodijeljeno ocjenjivanje brzih tokova podataka", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:215491

Metadata
TitleRaspodijeljeno ocjenjivanje brzih tokova podataka
Title (english)Distributed scoring of fast data streams
AuthorBoris Vezmar
MentorBoris Vrdoljak (mentor)
Committee memberBoris Vrdoljak (predsjednik povjerenstva)
Committee memberMario Brčić (član povjerenstva)
Committee memberMarko Horvat (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Definirani su prediktivni modeli i ocjenjivanje prediktivnih modela te je razmotreno nekoliko osnovnih vrsta prediktivnih modela. Dan je primjer rada s prediktivnim modelima korištenjem biblioteke Apache Spark MLlib. Proučena je platforma Kubernetes uključujući kontejnerizirano postavljanje aplikacija i servisa. Rad s kontejnerima prikazan je na primjeru rada s platformom Docker. Definirana je arhitektura Kubernetes grozda i temeljni Kubernetes objekti. Dan je primjer rada s platformom Kubernetes. Proučena je platforma Apache Kafka. Definirani su temeljni koncepti i komponente platforme Apache Kafka. Implementiran je servis za ocjenjivanje prediktivnih modela, pri čemu su proučene temeljne komponente implementacije.
Abstract (english)
Predictive models, as well as predictive model scoring were defined and several basic predictive models were considered. An example of working with predictive models using the Apache Spark MLlib library was given. The Kubernetes platform was examined, including the containerized deployment of applications and services. Work with containers was demonstrated using work with the Docker platform as an example. Kubernetes cluster architecture and fundamental Kubernetes objects were defined. An example of working with the Kubernetes platform was given. The Apache Kafka platform was examined. Basic concepts and components of the Apache Kafka platform were defined. A service for scoring predictive models was implemented, whereby fundamental implementation components were examined.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:215491
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
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Created on2023-01-13 14:09:25