Pregled bibliografske jedinice broj: 905215
Multi-criteria Decision-making in Cloud Service Selection and Adoption
Multi-criteria Decision-making in Cloud Service Selection and Adoption // RCITD - Proceedings in Research Conference in Technical Disciplines / Mokrys, Michal ; Badura, Stefan ; Peraković, Dragan (ur.).
Žilina: University of Žilina, 2017. str. 8-12 doi:10.18638/rcitd.2017.5.1.104 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 905215 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Multi-criteria Decision-making in Cloud Service Selection and Adoption
Autori
Grgurević, Ivan ; Gregurić, Gordana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
RCITD - Proceedings in Research Conference in Technical Disciplines
/ Mokrys, Michal ; Badura, Stefan ; Peraković, Dragan - Žilina : University of Žilina, 2017, 8-12
ISBN
978-80-554-1375-4
Skup
Research Conference in Technical Disciplines - RCITD 2017
Mjesto i datum
Žilina, Slovačka, 13.11.2017. - 17.11.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Cloud computing, decision-making, multi-criteria decision analysis, choice of criteria
Sažetak
Cloud computing (CC) offers its unique scalable and all time available services to the user. As service provision is an important part of the Cloud computing concept, the proper choice of the needed service according to the users’ needs is of most relevance. This research provides a review of Cloud service selection approach of multi-criteria decision analysis (MCDA). MCDA enables the user to choose from several available choices based on the chosen criteria. In this paper, the criteria and subcriteria for choosing Cloud services in accordance with Cloud computing service model have been analysed.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Tehnologija prometa i transport
Napomena
This research has been carried out as part of the project “Evaluation of Existing Systems to Support Sharing of Information to Carpooling Users based on Cloud Computing” (No. 303-02/17- 01/19, 995-14) supported by the Faculty of Transport and Traffic Sciences, University of Zagreb, Programme for Research, 2017.
POVEZANOST RADA
Ustanove:
Fakultet prometnih znanosti, Zagreb