论文标题
云服务的体验概率评估
Experiential probabilistic assessment of cloud services
论文作者
论文摘要
在现有软件系统的升级期间，通常会遇到采用云服务的重要困难。可靠的早期分析可以促进将系统移至云平台的明智决策过程。它还可以减轻针对系统质量目标的风险。在此方面，我们提出了一种交互式目标推理方法，该方法得到了概率层的支持，以精确分析云迁移风险，以提高风险控制的可靠性。使用将数字文档处理系统集成到Microsoft Azure Cloud Platform的商业场景来说明该方法。
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.
