Generic notions of security on cloud platforms make clients apprehensive about fully migrating their applications on these platforms. The challenge lies in the capability of personalizing the security assessments of different cloud service providers from the perspective of the security requirements of the client applications to be hosted on them. This challenge was addressed by the previously proposed offline risk assessment framework for cloud service providers. This article presents a comprehensive analysis of a cloud migration framework that has been designed by adapting the novel security assessment principles of the offline risk assessment framework. The migration strategy has been modeled as a multiobjective optimization problem to further study the performance of numerous evolutionary algorithms in designing various cloud migration scenarios. The overall effectiveness of the proposed framework has been examined using a use‐case application scenario and semisynthetic cloud service providers.

中文翻译：

---

一种用于云服务提供商离线风险评估的云迁移框架分析

云平台上的一般安全概念让客户担心在这些平台上完全迁移他们的应用程序。挑战在于从托管在其上的客户端应用程序的安全要求的角度对不同云服务提供商的安全评估进行个性化的能力。之前为云服务提供商提出的离线风险评估框架解决了这一挑战。本文对通过改编离线风险评估框架的新颖安全评估原则而设计的云迁移框架进行了全面分析。迁移策略已被建模为多目标优化问题，以进一步研究众多进化算法在设计各种云迁移场景时的性能。已使用用例应用程序场景和半合成云服务提供商检查了所提议框架的整体有效性。