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Daffodil International University Journal of Science and Technology
Article . 2010 . Peer-reviewed
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Daffodil International University Journal of Science and Technology
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License: CC BY
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https://dx.doi.org/10.3329/diu...
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A better way for finding the optimal number of nodes in a distributed database management system

descriptionPublicationkeyboard_double_arrow_right Article 10 Feb 2010Publisher:Daffodil International UniversityJournal:Daffodil International University Journal of Science and Technology, volume 4, pages 19-22 (issn: 1818-5878, eissn: 2408-8498, Copyright policy )
Authors: Mustafa, Rashed; Hossain, Md. Javed; Chowdhury, Thomas;

doi: 10.3329/diujst.v4i2.4362 , 10.5281/zenodo.13692142 , 10.5281/zenodo.13692141

A better way for finding the optimal number of nodes in a distributed database management system

Abstract

Distributed Database Management System (DDBMS) is one of the prime concerns in distributed computing. The driving force of development of DDBMS is the demand of the applications that need to query very large databases (order of terabytes). Traditional Client- Server database systems are too slower to handle such applications. This paper presents a better way to find the optimal number of nodes in a distributed database management systems. Keywords: DDBMS, Data Fragmentation, Linear Search, RMI. DOI: 10.3329/diujst.v4i2.4362 Daffodil International University Journal of Science and Technology Vol.4(2) 2009 pp.19-22

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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