Reliability prediction of consumer computing applications

doctoral thesis

• 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: consumer computing; service-oriented computing; dynamic software; reliability; prediction; statistical models; LUCS; CLUS
• Keywords (croatian): potrošačko računarstvo; računarstvo zasnovano na uslugama; dinamička programska potpora; pouzdanost; predviđanje; statistički modeli; LUCS; CLUS
• 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
• Created on: 2019-04-19 14:48:31