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Development of Beowulf Cluster to Perform Large Datasets Simulations in Educational Institutions

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 99 - Number 15
Year of Publication: 2014
Authors:
Mkhuseli Ngxande
Nyalleng Moorosi
10.5120/17450-8341

Mkhuseli Ngxande and Nyalleng Moorosi. Article: Development of Beowulf Cluster to Perform Large Datasets Simulations in Educational Institutions. International Journal of Computer Applications 99(15):29-35, August 2014. Full text available. BibTeX

@article{key:article,
	author = {Mkhuseli Ngxande and Nyalleng Moorosi},
	title = {Article: Development of Beowulf Cluster to Perform Large Datasets Simulations in Educational Institutions},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {99},
	number = {15},
	pages = {29-35},
	month = {August},
	note = {Full text available}
}

Abstract

This paper presents the design and development of the Beowulf cluster that can be used by institutions to perform research that requires high performance computing. In many industries and scientific applications there is often a need to analyse large datasets using computational power of distributed and parallel systems. The High Performance Computing (HPC) components are very expensive but with the use of commercial-off-the-shelf (COTS) hardware components, the costs can be lowered down. COTS provide inexpensive computing alternative to educational institutions to perform their research that need high performance computers. In High Performance Computing jobs are divided into several small jobs that can be distributed in to all the nodes and they run concurrently on the system, this is made possible by the use of parallel computing. This paper will address the advantage that the Beowulf clusters have in the high performance computing field as well as how it can be implemented using COTS. The most important part of this paper is to investigate the factors that affect the cluster.

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