Experiential probabilistic assessment of cloud services

Article


Fahmideh, Mahdi, Beydoun, Ghassan and Low, Graham. 2019. "Experiential probabilistic assessment of cloud services." Information Sciences. 502, pp. 510-524. https://doi.org/10.1016/j.ins.2019.06.027
Article Title

Experiential probabilistic assessment of cloud services

ERA Journal ID17908
Article CategoryArticle
AuthorsFahmideh, Mahdi, Beydoun, Ghassan and Low, Graham
Journal TitleInformation Sciences
Journal Citation502, pp. 510-524
Number of Pages15
YearOct 2019
PublisherElsevier
Place of PublicationUnited Kingdom
ISSN0020-0255
1872-6291
Digital Object Identifier (DOI)https://doi.org/10.1016/j.ins.2019.06.027
Web Address (URL)https://www.sciencedirect.com/science/article/pii/S0020025519305651
Abstract

Substantial difficulties in adopting cloud services are often encountered during upgrades of existing software systems. A reliable early stage analysis can facilitate an informed decision process of moving systems to cloud platforms. It can also mitigate risks against system quality goals. Towards this, we propose an interactive goal reasoning approach which is supported by a probabilistic layer for the precise analysis of cloud migration risks to improve the reliability of risk control. The approach is illustrated using a commercial scenario of integrating a digital document processing system to Microsoft Azure cloud platform.

KeywordsProbabilistic Risk Assessment; Cloud computing adoption; Legacy software systems; Goal-oriented requirement engineering
ANZSRC Field of Research 2020460908. Information systems organisation and management
Public Notes

File reproduced in accordance with the copyright policy of the publisher/author.

Byline AffiliationsUniversity of Wollongong
University of Technology Sydney
University of New South Wales
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