Predictive Modeling of Data Delay in a Corporate Network Based on Input Characteristics by Applying Simulation Model
Danladi Ali, V. V. Gnatushenko
Abstract
Danladi Ali, V. V. Gnatushenko
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 10,000m 2 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.
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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 10,000m 2 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.
Key concepts: Network delay, Network simulation, Computer science, Host (biology), Quality of service, Network performance, Computer network, End-to-end delay