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Determination of Efficient bandwidth utilization During Multicast using Data Envelopment Analysis

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Joseph Stephen Soja, Suleiman Mohammed Sani, Abdoulie Momodou SunkaryTekanyi
10.5120/ijca2016908032

Joseph Stephen Soja, Suleiman Mohammed Sani and Abdoulie Momodou SunkaryTekanyi. Article: Determination of Efficient bandwidth utilization During Multicast using Data Envelopment Analysis. International Journal of Computer Applications 139(9):1-6, April 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Joseph Stephen Soja and Suleiman Mohammed Sani and Abdoulie Momodou SunkaryTekanyi},
	title = {Article: Determination of Efficient bandwidth utilization During Multicast using Data Envelopment Analysis},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {139},
	number = {9},
	pages = {1-6},
	month = {April},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

Data Envelopment Analysis (DEA) is an operational research tool that is used for measuring the performance efficiency of an algorithm or organization. In this paper, DEA is applied on the simulation results of an Improved Network Coding Algorithm (INCA) with two and three performance in order to establish the performance efficiency of the two algorithms in terms of bandwidth utilization during video conferencing over a wireless network. Most researches which focus largely on determining the effectiveness of the INCA in terms of bandwidth consumption during video conferencing. However, this approach which uses DEA, the simulation results showed that the INCA with two parameters is the most cost-Efficient algorithm in terms of performance than the INCA with three parameters.

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Keywords

Data Envelopment Analysis, Efficiency, Constant Return to Scale, Bandwidth and Decision Making Unit.