Experiential probabilistic assessment of cloud services
Article
Article Title | Experiential probabilistic assessment of cloud services |
---|---|
ERA Journal ID | 17908 |
Article Category | Article |
Authors | Fahmideh, Mahdi, Beydoun, Ghassan and Low, Graham |
Journal Title | Information Sciences |
Journal Citation | 502, pp. 510-524 |
Number of Pages | 15 |
Year | Oct 2019 |
Publisher | Elsevier |
Place of Publication | United Kingdom |
ISSN | 0020-0255 |
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. |
Keywords | Probabilistic Risk Assessment; Cloud computing adoption; Legacy software systems; Goal-oriented requirement engineering |
ANZSRC Field of Research 2020 | 460908. Information systems organisation and management |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | University of Wollongong |
University of Technology Sydney | |
University of New South Wales |
https://research.usq.edu.au/item/yy7wq/experiential-probabilistic-assessment-of-cloud-services
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