Reliability prediction of consumer computing applications

Šilić, Marin

prikaz prve stranice dokumenta Reliability prediction of consumer computing applications

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doctoral thesis

Reliability prediction of consumer computing applications

Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2013. urn:nbn:hr:168:214648

Šilić, Marin

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electronics, Microelectronics, Computer and Intelligent Systems

Cite this document

APA 6th Edition

Šilić, M. (2013). Reliability prediction of consumer computing applications (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:214648

MLA 8th Edition

Šilić, Marin. "Reliability prediction of consumer computing applications." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2013. https://urn.nsk.hr/urn:nbn:hr:168:214648

Chicago 17th Edition

Harvard

Šilić, M. (2013). 'Reliability prediction of consumer computing applications', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 March 2025, https://urn.nsk.hr/urn:nbn:hr:168:214648

Vancouver

Šilić M. Reliability prediction of consumer computing applications [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2013 [cited 2025 March 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:214648

IEEE

M. Šilić, "Reliability prediction of consumer computing applications", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2013. Available at: https://urn.nsk.hr/urn:nbn:hr:168:214648

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:214648

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Metadata

Title	Reliability prediction of consumer computing applications
Title (croatian)	Predviđanje pouzdanosti primjenskih programa potrošačkog računarstva
Author	Marin Šilić
Mentor	Siniša Srbljić (mentor)
Committee member	Siniša Srbljić (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing (Department of Electronics, Microelectronics, Computer and Intelligent Systems) Zagreb
Defense date and country	2013, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing Architecture of Computer Systems
Universal decimal classification (UDC)	004 - Computer science and technology. Computing. Data processing
Abstract	Consumer Computing is a novel consumer oriented methodology for development of component based applications. Consumers use existing applications as building blocks and compose them into more complex applications with the aim to support the additional desired functionalities. Besides the appropriate functionality, application’s nonfunctional properties such as reliability and availability might significantly impact the perceived quality of the application. The reliability of the application depends on various number of parameters that describe the context of the application usage. The additional challenge while determining the reliability of applications is a substantially large number of applications in Consumer Computing and a very limited subset of applications with known reliability values. To address this challenge, new statistical methods for prediction of applications reliability need to be proposed. Besides the accurate reliability predictions, the proposed methods should also support real-time prediction performance in order to be used during the selection of components while creating composite applications in Consumer Computing.
Abstract (croatian)	Potrošacko računarstvo je nova metodologija razvoja primjenskih programa zasnovanih na komponentama. Potrošaci koriste postojeće primjenske programe kao osnovne gradivne elemente i povezuju ih u složenije primjenske programe s ciljem ostvarenja dodatnih željenih funkcionalnosti. Osim ispravne funkcionalnosti, znatan utjecaj na doživljaj primjenskog programa imaju i nefunkcijska svojstva, kao što su pouzdanost i dostupnost. Pouzdanost komponenti ovisi o velikom broju parametara koji određuju kontekst korištenja primjenskog programa. Budući da u ekosustavu potrošackog računarstva postoji veliki broj potrošača i primjenskih programa, vrijednosti pouzdanosti poznate su tek za mali podskup komponenata. Cilj disertacije je oblikovati metodu za predviđanje pouzdanosti komponenti kojima vrijednosti pouzdanosti nisu poznate. Osim preciznog predviđanja pouzdanosti, oblikovana metoda treba zadovoljiti svojstvo razmjernog rasta i rada u stvarnom vremenu da bi se koristila tijekom izbora komponenti u procesu izgradnje složenih potrošačkih programa.
Keywords
Keywords (croatian)
Language	english
URN:NBN	urn:nbn:hr:168:214648
Study programme	Title: Electrical Engineering and Computing Study programme type: university Study level: postgraduate Academic / professional title: Doktor znanosti elektrotehnike i računarstva (Doktor znanosti elektrotehnike i računarstva)
Type of resource	Text
Extent	179 str. ; 30 cm.
File origin	Born digital
Access conditions	Closed access
Terms of use
Repository	FER Repository
Created on	2019-04-19 14:48:31