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Journal article
Database Sharding: To Provide Fault Tolerance and Scalability of Big Data on the Cloud
International journal of cloud applications and computing, Vol.5(2), pp.36-52
04/01/2015
Web of Science ID: WOS:000218913100003
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.
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Details
- Title
- Database Sharding
- Publication Details
- International journal of cloud applications and computing, Vol.5(2), pp.36-52
- Resource Type
- Journal article
- Publisher
- IGI Global
- Copyright
- © IGI Global
- Identifiers
- WOS:000218913100003; 99380179095906600
- Academic Unit
- Hal Marcus College of Science and Engineering ; Computer Science
- Language
- English