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Planning for Optimal Multi-site Data Distribution for Disaster Recovery

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Economics of Grids, Clouds, Systems, and Services (GECON 2011)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 7150))

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Abstract

In this paper, we present DDP-DR: a Data Distribution Planner for Disaster Recovery. DDP-DR provides an optimal way of backing-up critical business data into data centres (DCs) across several Geographic locations. DDP-DR provides a plan for replication of backup data across potentially large number of data centres so that (i) the client data is recoverable in the event of catastrophic failure at one or more data centres (disaster recovery) and, (ii) the client data is replicated and distributed in an optimal way taking into consideration major business criteria such as cost of storage, protection level against site failures, and other business and operational parameters like recovery point objective (RPO), and recovery time objective (RTO). The planner uses Erasure Coding (EC) to divide and codify data chunks into fragments and distribute the fragments across DR sites or storage zones so that failure of one or more site / zone can be tolerated and data can be regenerated.

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Sengupta, S., Annervaz, K.M. (2012). Planning for Optimal Multi-site Data Distribution for Disaster Recovery. In: Vanmechelen, K., Altmann, J., Rana, O.F. (eds) Economics of Grids, Clouds, Systems, and Services. GECON 2011. Lecture Notes in Computer Science, vol 7150. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28675-9_12

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  • DOI: https://doi.org/10.1007/978-3-642-28675-9_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28674-2

  • Online ISBN: 978-3-642-28675-9

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