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Improving Scalability in Replicated DRTDBS

Improving Scalability in Replicated DRTDBS

Pratik Shrivastava
Copyright: © 2020 |Pages: 15
ISBN13: 9781799824916|ISBN10: 1799824918|ISBN13 Softcover: 9781799824923|EISBN13: 9781799824930
DOI: 10.4018/978-1-7998-2491-6.ch006
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MLA

Shrivastava, Pratik. "Improving Scalability in Replicated DRTDBS." Handling Priority Inversion in Time-Constrained Distributed Databases, edited by Udai Shanker and Sarvesh Pandey, IGI Global, 2020, pp. 103-117. https://doi.org/10.4018/978-1-7998-2491-6.ch006

APA

Shrivastava, P. (2020). Improving Scalability in Replicated DRTDBS. In U. Shanker & S. Pandey (Eds.), Handling Priority Inversion in Time-Constrained Distributed Databases (pp. 103-117). IGI Global. https://doi.org/10.4018/978-1-7998-2491-6.ch006

Chicago

Shrivastava, Pratik. "Improving Scalability in Replicated DRTDBS." In Handling Priority Inversion in Time-Constrained Distributed Databases, edited by Udai Shanker and Sarvesh Pandey, 103-117. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2491-6.ch006

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Abstract

The demand for scalability in replicated distributed real-time database systems (RDRTDBS) is still explorative and, despite an increase in real-time applications, many challenges and issues remain in designing a more scalable system. The objective is to improve the scalability of the system during system scale up with new replica sites. Existing research has been mainly conducted in maintaining replica consistency between different replicas via replication protocol. However, very little research has been conducted towards improving scalability and maintaining mutual consistency and timeliness. Consequently, the ultimate aim of this chapter is to improve scalability in RDRTDBS such that performance of the system does not degrade even though new replica sites are added.

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