Abstract
As the data generation rate in daily business operation increase drastically, eventually the management of the data backup and recovery system is affected by high complexity. The purpose of this study is to propose a solution to reduce the management complexity of data backup and recovery systems for an organization while focusing on data availability. Based on a comprehensive literature review, data silos, data deluge, and data sprawl are identified as the main challenges in complexity management. In this paper, fault tolerance techniques such as self-healing, synchronous replication, automated data aggregation, and automated data integration are considered. To overcomes the identified challenges while reducing the management complexity as well as maintaining high data availability for the organization a solution is proposed with both conceptual design and architectural design Measuring techniques and scenario-based analysis are being conducted for the proposed solution at the end of the paper.
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