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

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

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

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

Šilić, M. (2013). 'Reliability prediction of consumer computing applications', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:214648

Šilić M. Reliability prediction of consumer computing applications [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2013 [cited 2024 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:214648

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

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Metadata
TitleReliability prediction of consumer computing applications
Title (croatian)Predviđanje pouzdanosti primjenskih programa potrošačkog računarstva
AuthorMarin Šilić
MentorSiniša Srbljić (mentor)
Committee memberSiniša Srbljić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Electronics, Microelectronics, Computer and Intelligent Systems)
Zagreb
Defense date and country2013, 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)
Languageenglish
URN:NBNurn:nbn:hr:168:214648
Study programmeTitle: 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 resourceText
Extent179 str. ; 30 cm.
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
RepositoryFER Repository
Created on2019-04-19 14:48:31

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