prikaz prve stranice dokumenta Analiza paralelne obrade poziva i usluga primjenom genetičkih algoritama
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scientific master's theses
Analiza paralelne obrade poziva i usluga primjenom genetičkih algoritama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2002. urn:nbn:hr:168:413648
Kasapović, Suad
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Telecommunications

Institutional repository: FER Repository

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Kasapović, S. (2002). Analiza paralelne obrade poziva i usluga primjenom genetičkih algoritama (Scientific master's theses). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:413648

Kasapović, Suad. "Analiza paralelne obrade poziva i usluga primjenom genetičkih algoritama." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2002. https://urn.nsk.hr/urn:nbn:hr:168:413648

Kasapović, Suad. "Analiza paralelne obrade poziva i usluga primjenom genetičkih algoritama." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2002. https://urn.nsk.hr/urn:nbn:hr:168:413648

Kasapović, S. (2002). 'Analiza paralelne obrade poziva i usluga primjenom genetičkih algoritama', Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:413648

Kasapović S. Analiza paralelne obrade poziva i usluga primjenom genetičkih algoritama [Scientific master's theses]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2002 [cited 2024 November 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:413648

S. Kasapović, "Analiza paralelne obrade poziva i usluga primjenom genetičkih algoritama", Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2002. Available at: https://urn.nsk.hr/urn:nbn:hr:168:413648

Metadata
TitleAnaliza paralelne obrade poziva i usluga primjenom genetičkih algoritama
Title (english)Analysis of parallel call and service processing using genetic algorithms
AuthorSuad Kasapović
MentorIgnac Lovrek (mentor)
Committee memberVjekoslav Sinković (predsjednik povjerenstva)
Committee memberIgnac Lovrek (član povjerenstva)
Committee memberRobert Manger (član povjerenstva)
Committee memberAntun Carić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Telecommunications)
Zagreb
Defense date and country2002-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Telecommunications and Informatics
Universal decimal classification
(UDC)		621.3 - Electrical engineering
Abstract
Rad razmatra primjenu genetičkih algoritama prilikom analize paralelnog procesiranja poziva i usluga. Dat je teorijski model distribuiranih sustava sa značajnim brojem performansi i modela komunikacije kod distribuiranih sustava. Razmatran je osnovni model procesiranja poziva i usluga, dekompozicija poziva i usluga. Stohastička priroda poziva i usluga predstavljena je sa dvije funkcije raspodjele vjerojatnosti. Teorijski je razmatrana mogućnost primjene genetičkih algoritama na predloženi model procesiranja poziva i usluga. Razmatrani su različiti genetički algoritmi zajedno sa prednostima i nedostacima. Posebno je dat naglasak na Turnir genetički algoritma i njegovu upotrebu prilikom procesiranja poziva i usluga. Dat je pseudo kod kao i izvorni kod za rješavanje problema rasporeda zadataka kod višeprocesorskog sustava. Na kraju je izneseno nekoliko rezultata dobivenih matematičkom simulacijom prilikom određivanja vremena odziva u distribuiranom sustavu.
Abstract (english)
The work considers using genetic algorithms on the occasion of processing calls and services. Theoretical model of distributed systems has been given with a great number of important performances and a model of communication. Basic model of processing calls and services has been given and analysis of that kind of models and decomposition calls and services has been given too. Stochastical nature of calls and services is presented at two probability density functions. Theoretically, the work has considered possibility uses genetic algorithms on proposed model of processing calls and services. The work considers different kind of genetic algorithms with it’s advantage and disadvantage properties. The pseudo code and source code have been given which can be used for solving problems of scheduling tasks in the multiprocessors systems. The accent has given on the Tournament genetic algorithm and it’s uses for processing calls and services. At the end of work, results have been given determined response time in the distributed systems.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:413648
Study programmeTitle: Postgraduate master programme in electrical engineering
Study programme type: university
Study level: postgraduate
Academic / professional title: Magistar znanosti elektrotehnike (Magistar znanosti elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Created on2019-04-26 13:54:13