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doctoral thesis
Simetralno razvrstavanje objekata uslužnih sustava
2013. urn:nbn:hr:200:218069
Lukić, Ivica
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Computer Engineering

Cite this document

Lukić, I. (2013). Simetralno razvrstavanje objekata uslužnih sustava (Doctoral thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:218069

Lukić, Ivica. "Simetralno razvrstavanje objekata uslužnih sustava." Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2013. https://urn.nsk.hr/urn:nbn:hr:200:218069

Lukić, Ivica. "Simetralno razvrstavanje objekata uslužnih sustava." Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2013. https://urn.nsk.hr/urn:nbn:hr:200:218069

Lukić, I. (2013). 'Simetralno razvrstavanje objekata uslužnih sustava', Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 15 March 2023, https://urn.nsk.hr/urn:nbn:hr:200:218069

Lukić I. Simetralno razvrstavanje objekata uslužnih sustava [Doctoral thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2013 [cited 2023 March 15] Available at: https://urn.nsk.hr/urn:nbn:hr:200:218069

I. Lukić, "Simetralno razvrstavanje objekata uslužnih sustava", Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2013. Available at: https://urn.nsk.hr/urn:nbn:hr:200:218069

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Metadata
TitleSimetralno razvrstavanje objekata uslužnih sustava
Title (english)Symmetrical classification of service system objects
AuthorIvica Lukić
MentorNinoslav Slavek (mentor)
Committee memberGoran Martinović (predsjednik povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Computer Engineering and Automation)
(Chair of Computer Engineering)
Osijek
Defense date and country2013-01-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Process Computing
Universal decimal classification
(UDC)		62 - Engineering. Technology in general
Abstract
U ovoj disertaciji predložena su dva nova postupka za razvrstavanje nesigurnih objekata. Prvi postupak omogućuje razvrstavanje prostornih podataka zasnovano na simetralnoj podjeli prostora, te usporedbi i odbacivanju grozdova. Postupak znatno smanjuje broj računanja očekivanih udaljenosti i ubrzava proces odbacivanja grozdova u odnosu na postojeće postupke. Drugi postupak dijeli područja skupa objekata određivanjem prostornih odnosa objekata s ciljem povećanja mogućnosti paralelne obrade. Postupkom je omogućeno paralelno izvođenje procesa razvrstavanja. Postupak ne zahtijeva dodatna ulaganja u opremu, jer se može izvoditi na računalu s više jezgri. Razvijeni postupci iskorišteni su za stvaranje modela predviđanja ponašanja uslužnog sustava razvrstavanjem postojećih podataka o objektima uslužnog sustava. Pomoću modela mogu se predvidjeti zahtjevi za uslužnim sustavom i djelovati prema zahtjevima. Postiže se smanjenje troškova uslužnog sustava i povećava broj zadataka koje uslužni sustav može obaviti.
Abstract (english)
Two original procedures for clustering spatially uncertain data are proposed in this dissertation. The first procedure enables the clustering of spatial data based on bisector division of space, using comparison and cluster pruning. It significantly reduces the number of the expected distances calculations and speeds up the process of clusters pruning in comparison to existing procedures. Second procedure divides the data set area using spatial relations among objects to increase the possibility of parallel processing. The procedure enables parallel execution of the clustering process. The procedure does not require additional investments in equipment, because of use a computer with multiple cores. Presented procedures are used for creating a model for prediction of behaviour service-oriented system, using clustering of existing data about objects of service-oriented system. This model can predict the requirements for service-oriented system and prepare according to the requirements. Costs are reduced and increased the number of tasks that can be done by service-oriented system.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:218069
Promotion2013-01-10
Study programmeTitle: Postgraduate doctoral study programme; specializations in: branch Power Engineering and Communications, branch Informatics
Course: branch Informatics
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, područje tehničkih znanosti, polje elektrotehnika (doktor/doktorica znanosti, područje tehničkih znanosti, polje elektrotehnika)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2018-03-06 16:24:18