prikaz prve stranice dokumenta Analiza i usporedba algoritama predviđanja opterećenja u svrhu automatskog rasta raspodijeljenih sustava
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master's thesis
Analiza i usporedba algoritama predviđanja opterećenja u svrhu automatskog rasta raspodijeljenih sustava
2019. urn:nbn:hr:168:704271
Šegina, Petar
University of Zagreb
Faculty of Electrical Engineering and Computing

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Šegina, P. (2019). Analiza i usporedba algoritama predviđanja opterećenja u svrhu automatskog rasta raspodijeljenih sustava (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:704271

Šegina, Petar. "Analiza i usporedba algoritama predviđanja opterećenja u svrhu automatskog rasta raspodijeljenih sustava." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:704271

Šegina, Petar. "Analiza i usporedba algoritama predviđanja opterećenja u svrhu automatskog rasta raspodijeljenih sustava." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:704271

Šegina, P. (2019). 'Analiza i usporedba algoritama predviđanja opterećenja u svrhu automatskog rasta raspodijeljenih sustava', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 06 March 2025, https://urn.nsk.hr/urn:nbn:hr:168:704271

Šegina P. Analiza i usporedba algoritama predviđanja opterećenja u svrhu automatskog rasta raspodijeljenih sustava [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2025 March 06] Available at: https://urn.nsk.hr/urn:nbn:hr:168:704271

P. Šegina, "Analiza i usporedba algoritama predviđanja opterećenja u svrhu automatskog rasta raspodijeljenih sustava", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:704271

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Metadata
TitleAnaliza i usporedba algoritama predviđanja opterećenja u svrhu automatskog rasta raspodijeljenih sustava
Title (english)Analysis and Comparison of System Load Forecasting Algorithms for Automated Scaling of Distributed Systems
AuthorPetar Šegina
MentorKlemo Vladimir (mentor)
Committee memberKlemo Vladimir (predsjednik povjerenstva)
Committee memberDejan Škvorc (član povjerenstva)
Committee memberGoran Delač (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-09-17, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Kako bi zadovoljili potrebe sve većeg broja korisnika, moderni sustavi nužno postaju raspodijeljeni. Kako bi bolje vladali resursima, u ovom radu istražujemo primjenjivost popularnih modela za predvid̄anje — ARIMA, Holt-Winters i Theta — na problem predvid̄anja budućeg opterećenja sustava. Kao rezultat ističemo model Holt-Winters koji se pokazao kao najboljim od analiziranih te dajemo ideju za daljnji razvoj mehanizma automatskog rasta raspodijeljenog sustava.
Abstract (english)
In order to satisfy the needs of a growing number of users, modern systems necessarily become distributed. In order to make better use of resources we explore the applicability of popular forecasting models — ARIMA, Holt-Winters, and Theta — on the problem of forecasting future system load. As a result we point out the Holt-Winters model which turned out to be the best among the ones considered. Finally, we give an idea for future work on an automatic distributed system scaling mechanism.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:704271
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 on2020-01-07 22:18:45