Samoadaptivno upravljanje vezom za usluge digitalnih sadržaja

Čunko, Krešimir

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scientific master's theses

Samoadaptivno upravljanje vezom za usluge digitalnih sadržaja

Čunko, Krešimir (2007)

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Telecommunications

Cite this document

APA 6th Edition

Čunko, K. (2007). Samoadaptivno upravljanje vezom za usluge digitalnih sadržaja (Scientific master's theses). Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:083934

MLA 8th Edition

Čunko, Krešimir. "Samoadaptivno upravljanje vezom za usluge digitalnih sadržaja." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2007. https://urn.nsk.hr/urn:nbn:hr:168:083934

Chicago 17th Edition

Harvard

Čunko, K. (2007). 'Samoadaptivno upravljanje vezom za usluge digitalnih sadržaja', Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 07 July 2020, https://urn.nsk.hr/urn:nbn:hr:168:083934

Vancouver

Čunko K. Samoadaptivno upravljanje vezom za usluge digitalnih sadržaja [Scientific master's theses]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2007 [cited 2020 July 07] Available at: https://urn.nsk.hr/urn:nbn:hr:168:083934

IEEE

K. Čunko, "Samoadaptivno upravljanje vezom za usluge digitalnih sadržaja", Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2007. Available at: https://urn.nsk.hr/urn:nbn:hr:168:083934

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:083934

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Metadata

Title	Samoadaptivno upravljanje vezom za usluge digitalnih sadržaja
Title (english)	Self-adaptive connection control for digital content services
Author	Krešimir Čunko
Mentor	Dragan Jevtić (mentor)
Committee member	Marijan Kunštić (predsjednik povjerenstva)
Committee member	Dragan Jevtić (član povjerenstva)
Committee member	Antun Carić (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing (Department of Telecommunications) Zagreb
Defense date and country	2007-11-30, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Electrical Engineering Telecommunications and Informatics
Universal decimal classification (UDC)	654 APPLIED SCIENCES. MEDICINE. TECHNOLOGY Telecommunication and telecontrol
Universal decimal classification (UDC)	004 GENERALLY Computer science and technology. Computing. Data processing
Abstract	Usmjeravanje prometa u telekomunikacijskoj mreži uobičajeno se obavlja determinističkim metodama za koje je karakteristična slaba prilagodljivost na promjene izazvane prometnim opterećenjima. Uvođenjem samoadaptivnih svojstava u takvu mrežu može se pojačati učinkovitost komunikacije ponajprije kroz poboljšanu prilagodljivost pristupa mrežnim resursima. Za očekivati je pojavu pojačanih potreba takvih svojstava kod isporuke usluga digitalnih sadržaja zbog promjenjivih prijenosnih kapaciteta, a uz istovremenu prisutnost više spojnih puteva između korisnika i poslužitelja. Zadaća ovog magistarskog rada bila je istražiti modele inteligentnih agenata pogodnih za podršku pristupa digitalnim sadržajima kroz paketski orijentirane mreže. Cilj je usmjeren ka maksimiziranju prijenosnog kapaciteta tijekom realizacije usluge između korisnika i poslužitelja. Samoadaptivnost je postignuta primjenom paradigme inteligentnog agenta fiksno pozicioniranog izvan mrežnih čvorova. Za tu svrhu dizajnirani su inteligentni agenti bazirani na Q i SARSA algoritmima, čiji je rad uspoređen sa klasičnom metodom usmjeravanja Round Robin. U svrhu simulacije rada agenata i verifikacije rezultata razvijen je laboratorijski model implementiran u programskom jeziku C++ koristeći razvojnu okolinu Microsoft Visual Studio .NET 2003. Na temelju dobivenih rezultata provedenih simulacija i njihove analize, može se zaključiti da je korištenje Q i SARSA agenta na opisani način učinkovit pristup rješavanja problema transporta digitalnih sadržaja u uvjetima nestabilnog mrežnog okruženja.
Abstract (english)	In telecommunication networks traffic routing algorithms are usually based on deterministic methods which are not adaptive enough for rapid changes in traffic density. By introducing self-adaptive characteristics to such network it is possible to increase communication performance through improved access to network resources. Increased requirements for such characteristics can be expected especially in distribution of digital content due to constant changes in network transmission capacity and existence of several interconnection routes between client and server. The objective for this master thesis was to design intelligent agents which could be used for accessing digital content in packet-oriented networks. The goal was to maximize transmission capacity during realization of service. Self-adaptiveness was realized by using paradigm of intelligent agent positioned outside network nodes. For this purpose intelligent agents based on Q and SARSA algorithms were designed and compared against Round Robin routing method. For behavior analysis of designed agents a laboratory model was implemented in C++ language using Microsoft Visual Studio .NET 2003. Based on simulation results it can be concluded that the usage of intelligent Q and SARSA agents in a way described in this thesis is an effective way of solving digital content transport problems in conditions of unstable network surroundings.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:168:083934
Study programme	Title: Postgraduate master programme in electrical engineering Study programme type: university Study level: postgraduate Academic / professional title: Magistar znanosti elektrotehnike (Magistar znanosti elektrotehnike)
Type of resource	Text
File origin	Born digital
Access conditions	Closed access
Terms of use
Repository	FER Repository
Created on	2020-04-23 09:20:45

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