A procedure to achieve cost and performance optimization for recovery in cloud computing

Abstract

This research discusses a system architecture that comes up with potentially better resiliency and faster recovery from failures based on the renowned genetic algorithm. Additionally, we aim to achieve a globally optimized performance as well as a service solution that can remain financially and operationally balanced according to customer preferences. The proposed methodology has undergone numerous and severe evaluations to be proclaimed of their effectiveness and efficiency, even when put under tight comparison with other existing work.