A Comparative Study to Simplify Disaster Recovery In Cloud
Keywords:
Disaster recovery, Cloud, RTO, RPOAbstract
Disaster recovery can be defined as a process that uses various methods, methodologies, and ways which can be used to curb the effect of a disaster, that has occurred in computing systems, due to various significant factors such as system failures, cyber-attacks, and human error, this is done to ensure minimal downtime in the systems, a disaster in the cloud refers to any hindrance that stops the continuity of activities and services on the cloud system, due to various factors such as system failures, human error ,disaster recovery involves the retrieval of data and information that has been either lost or placed at risk due to a catastrophic event
Various problems are faced during a disaster as business shuts down , facilities are put on halt, and the porosity of data is at its peak, various ways have been used to resolve the effect of disaster recovery and ensure business continuity such as system frameworks for data storage, and disaster recovery models based on specific criteria, data backup systems, replication technology, Most of this proposed solution s, did not give much concern to the major detrimental factors that ensure the effective and rapid restoration from a disaster , such as RPO, RTO , fail-over time etc.
This study aims to assess two systems and ascertain which one demonstrates greater efficiency in addressing disaster recovery within cloud computing. The two factors used for comparison are; Recovery Time Objective (RTO); which is the time duration between disruption and restoration of services in a cloud system and Recovery Point Objective (RPO); which denotes the amount of data lost after a disruption and data have to be recovered to the exact point. We examined how the two systems make the procedures for disaster recovery seamless and simple for users. We compared and contrasted them to see which had a larger advantage in solving the problem. We proposed the best solution and how these solutions may be readily applied and used.
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