Experiential probabilistic assessment of cloud services
This work addresses the challenge of reliable early-stage analysis for cloud migration decisions, which is incremental as it builds on existing risk assessment methods.
The paper tackles the problem of assessing risks when migrating existing software systems to cloud platforms by proposing an interactive goal reasoning approach with a probabilistic layer for precise risk analysis, illustrated through a commercial scenario involving Microsoft Azure.
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.