Database Sharding: To Provide Fault Tolerance and Scalability of Big Data on the Cloud
Sikha Bagui and
Loi Tang Nguyen
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Sikha Bagui: Department of Computer Science, University of West Florida, Pensacola, FL, USA
Loi Tang Nguyen: Naval Education and Training, Development and Technology Center (NETPDTC), Pensacola, FL, USA
International Journal of Cloud Applications and Computing (IJCAC), 2015, vol. 5, issue 2, 36-52
Abstract:
In this paper, the authors present an architecture and implementation of a distributed database system using sharding to provide high availability, fault-tolerance, and scalability of large databases in the cloud. Sharding, or horizontal partitioning, is used to disperse the data among the data nodes located on commodity servers for effective management of big data on the cloud.
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jcac00:v:5:y:2015:i:2:p:36-52
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