Availability modeling and analysis of a disaster-recovery-as-a-service solution

作者：Andrade Ermeson^*; Nogueira Bruno; Matos Rubens; Callou Gustavo; Maciel Paulo

来源：Computing, 2017, 99(10): 929-954.

DOI：10.1007/s00607-017-0539-8

• Availability modeling
• DRaaS
• SPN
• Sensitivity analysis

In modern corporate environments, having a disaster recovery solution is no longer a luxury but a business necessity. The adoption of a disaster recovery solution, however, can be costly and often only affordable by large enterprises. Disaster-Recovery-as-a-Service (DRaaS) is a cloud-based solution that small and medium-sized businesses have been adopting to guarantee availability even in catastrophic situations. It offers lower acquisition and operational costs than traditional solutions. This work presents availability models for evaluating a DRaaS solution taking into account crucial disaster recovery metrics, such as downtime, costs, recovery time objective, and transaction loss. Furthermore, we performed sensitivity analysis on the DRaaS model to determine the parameters that cause the greatest impact on the system availability. Based on these analyses, disaster recovery coordinators can determine the optimum point to recover the damaged system by balancing the cost of system downtime against the cost of resources required for restoring the system. Our numerical results show the effectiveness of a DRaaS solution in terms of downtime, cost, and transition loss.

• 出版日期2017-10