Analysis of a cloud migration framework for offline risk assessment of cloud service providers. (25th March 2020)

• Record Type: Journal Article
• Authors: Sen, Amartya; Madria, Sanjay
• Other Names: Varghese Blesson guestEditor.; Netto Marco guestEditor.; Llorente Ignacio M. guestEditor.; Buyya Rajkumar guestEditor.
• Is Part Of: Software, practice & experience. Volume 50:Number 6(2020)
• Page Start: 998
• Page End: 1021
• Publication Date: 2020-03-25
• Subjects: cloud migration -- cloud security -- genetic algorithm -- multiobjective optimization -- risk assessment -- sensitivity analysis; Computer software -- Periodicals; Computer programming -- Periodicals; Computer programs -- Periodicals; 005.3
• DOI: 10.1002/spe.2809
• Languages: English
• ISSNs: 0038-0644

Abstract

Summary: 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.