University of Wollongong
Browse

Experiential probabilistic assessment of cloud services

Download (1.55 MB)
journal contribution
posted on 2024-11-15, 08:23 authored by Mahdi Fahmidehgholami, Ghassan BeydounGhassan Beydoun, Graham C Low
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.

History

Citation

Fahmidehgholami, M., Beydoun, G. & Low, G. (2019). Experiential probabilistic assessment of cloud services. Information Sciences, 502 510-524.

Journal title

Information Sciences

Volume

502

Pagination

510-524

Language

English

RIS ID

136652

Usage metrics

    Categories

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC