Analisando o Backup-as-a-Service como uma estratégia de recuperação de desastres

Abstract

In modern environments, failures in information and communication technology (ICT) systems can have several consequences for a business, like data and revenue loss and customers dissatisfaction. Disaster recovery (DR) solutions, as BackupasaService (BaaS), has been adopted by companies as a way to avoid these problems and assure business continuity. Nevertheless, there are plenty of variables to consider during the adoption of a DR solution. Then, in this work, we present an integrated approach using experiments and models to evaluate a BaaS environment designed for DR. In our analysis, we consider relevant DR metrics like availability, downtime, RTO (Recovery Time Objective), and RPO (Recovery Point Objective). The results demonstrate that once BaaS is applied, the environment availability can vary according to the amount of data needed to be backed up or restored. Furthermore, sensitivity analysis indicates that the time needed to recover the data center and the backup interval are the most important parameter values for metrics like RTO and RPO. The proposed approach can help companies or individuals involved in the decisionmaking process for purchasing a DR solution.