Analiza metoda predviđanja prometa u optičkoj mreži

Brdar, Antonio

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master's thesis

Analiza metoda predviđanja prometa u optičkoj mreži

Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2024. urn:nbn:hr:119:792460

Brdar, Antonio

University of Zagreb
Faculty of Transport and Traffic Sciences
Division of Transport
Department of Information and Communications Traffic

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APA 6th Edition

Brdar, A. (2024). Analiza metoda predviđanja prometa u optičkoj mreži (Master's thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:792460

MLA 8th Edition

Brdar, Antonio. "Analiza metoda predviđanja prometa u optičkoj mreži." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2024. https://urn.nsk.hr/urn:nbn:hr:119:792460

Chicago 17th Edition

Harvard

Brdar, A. (2024). 'Analiza metoda predviđanja prometa u optičkoj mreži', Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 13 January 2025, https://urn.nsk.hr/urn:nbn:hr:119:792460

Vancouver

Brdar A. Analiza metoda predviđanja prometa u optičkoj mreži [Master's thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2024 [cited 2025 January 13] Available at: https://urn.nsk.hr/urn:nbn:hr:119:792460

IEEE

A. Brdar, "Analiza metoda predviđanja prometa u optičkoj mreži", Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:119:792460

Cite this item: https://urn.nsk.hr/urn:nbn:hr:119:792460

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Metadata

Title	Analiza metoda predviđanja prometa u optičkoj mreži
Title (english)	Analysis of Traffic Forecasting Methods in the Optical Network
Author	Antonio Brdar
Mentor	Ivan Grgurević (mentor)
Committee member	Marko Periša (predsjednik povjerenstva)
Committee member	Petra Teskera (član povjerenstva)
Committee member	Ivan Cvitić (član povjerenstva)
Granter	University of Zagreb Faculty of Transport and Traffic Sciences (Division of Transport) (Department of Information and Communications Traffic) Zagreb
Defense date and country	2024-07-02, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Traffic and Transport Technology Postal and Telecommunications Traffic
Abstract	Optička mreža je podatkovna komunikacijska mreža koja koristi tehnologiju svjetlovodnog vlakna za prijenos podataka, a karakterizira ju visoka propusnost i velika brzina prijenosa podataka. U ovom diplomskom radu opisane su neke od mogućih izvedbi, arhitekture tih izvedbi te neke od tehnologija koje se koriste u optičkim mrežama. Također su opisani i razni prometni parametri koji postoje u optičkim mrežama, neki od njih su specifični za većinu komunikacijskih mreža, dok su neki specifični isključivo za optičke mreže. Nadalje, prikazane su i objašnjene tehnike praćenja i prikupljanja prometnih podataka u optičkim mrežama. Uz navedene prikazane su i analizirane relevantne metode i tehnike strojnog učenja u optičkim mrežama, a koje mogu poslužiti za predviđanje varijabilnosti odabranih prometnih parametra. U diplomskom radu je također objedinjena i prikazana praktična primjena odabranih metoda strojnog učenja kroz relevantna dostupna istraživanja.
Abstract (english)	An optical network is a data communication network that uses fiber optic technology for data transmission, characterized by high bandwidth and high data transfer speeds. This thesis describes some of the possible implementations, architectures of these implementations, and some of the technologies used in optical networks. Various traffic parameters existing in optical networks are also described, some of which are common to most communication networks, while others are specific to optical networks. Furthermore, techniques for monitoring and collecting traffic data in optical networks are presented and explained. In addition, relevant machine learning methods and techniques in optical networks that can be used to predict the variability of selected traffic parameters are also analyzed. The thesis also consolidates and presents the practical application of selected machine learning methods through relevant available research.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:119:792460
Study programme	Title: Transport; specializations in: Road Transport, Rail Transport, Water Transport, Air Transport, Postal Transport, Information and Communication Traffic, Urban Transport Course: Road Transport Study programme type: university Study level: graduate Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka prometa (sveučilišni/a magistar/magistra inženjer/inženjerka prometa)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Repository	Faculty of Transport and Traffic Sciences
Created on	2024-07-12 13:20:24