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A Quality of Experience (QOE) Based Estimate of Bandwidth Requirement for Computer Networks

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  • Haruna Bege

    (Department of Computer Engineering, Nuhu Bamalli Polytechnic, Kaduna State, Nigeria)

  • Aminu Yusuf Zubairu

    (Department of Computer Engineering, Nuhu Bamalli Polytechnic, Kaduna State, Nigeria)

Abstract

This paper centers on making proper estimate of the bandwidth requirement of a network (which has a specified user population) with the help of Monte Carlo simulation (MCS) – a statistical tool for analyzing stochastic processes. This was done to overcome the challenge of poor Quality of Experience (QoE) resulting from insufficient bandwidth. Three MCS scenarios: fully loaded scenario (FLS), irregular pattern scenario (IPS) and regular pattern scenario (RPS) which are synonymous to high, normal and low traffic periods respectively. A model based bandwidth estimation technique was adopted which involved observing network traffic, classification of the contents accessed on the network, determination of the minimum bandwidth requirement for accessing each class of content that guarantees good QoE is met, lastly obtaining the popularity factor (likelihood) of viewing each content. These served as input data for the simulations from which estimates were obtained.

Suggested Citation

  • Haruna Bege & Aminu Yusuf Zubairu, 2020. "A Quality of Experience (QOE) Based Estimate of Bandwidth Requirement for Computer Networks," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 7(9), pages 175-182, September.
    • Handle: RePEc:bjc:journl:v:7:y:2020:i:9:p:175-182
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