Optimal Reliability in Cloud Computing Networks Under Dynamic Node Failure

Abstract

With the rise in the adoption of the cloud across organizations, it is vital to deliver consumers on-demand services that meet their needs. As a result, services like reliability, security, and resource manage-ment become critical. Among these, the reliability aspect is crucial in defining the performance of a cloud computing network. However, as user expectations increase, it becomes essential to make cloud networks and services more dependable. Hence, A novel enumerative approach is proposed in this work in order to optimize the reliability of Cloud Computing Networks. Our primary objective is to optimize the cloud network to maximize network reliability during a dynamic node failure. Since reliability optimization under the dynamic node failure is a crit-ical task, it leads to an NP-Hard problem. In addition, the results of our experiment for a few samples of cloud networks are presented and compared with the technique of fine-grained check pointing for provid-ing reliability in cloud networks. The suggested methodology and is also applicable to large-scale cloud networks and found to be more efficient