Predictive Modeling of Data Delay in a Corporate Network Based on Input Characteristics by Applying Simulation Model

ALI, DANLADI and V.V., GNATUSHENKO (2014) Predictive Modeling of Data Delay in a Corporate Network Based on Input Characteristics by Applying Simulation Model. In: International Conference on Advances in Computing, Communication and Information Technology CCIT 2014, 01 - 02 June,2014, London, UK.

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Abstract

Achieving excellent network quality of service (QoS) is the fundamental aim of any internet service provider (ISP), in view of this, a model of a corporate network has been developed, simulated and implemented using optimized network engineering tool (OPNET) technology in the simulation area of 10,000m2 office topology, to monitor the effect of data delay in a network based on the input characteristics; 50, 100, 150 and 200 host users to predict the network performance. The result shows that the network with the less number of host users has the better network performance, which implies that; the more the number of the host users the higher the data delay. The data delay predicted in the network with 50, 100, 150 and 200 host users are 0.004801/s, 0.006826/s, 0.006969/s and 0.019697/s respectively. The modeling result predicts that the input characteristics have an influence over network performance as well as capacity utilization.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Corporate network, local area network, delay, model, traffic monitoring and host users.
Depositing User: Mr. John Steve
Date Deposited: 18 May 2019 12:23
Last Modified: 18 May 2019 12:23
URI: http://publications.theired.org/id/eprint/2482

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