Network Congestion Avoidance Using Monte Carlo Sampling

The deployment of high-speed links for high delay communication has posed a serious challenge for the AIMD algorithm used for congestion control in TCP. In this paper, the authors have study Monte Carlo Sampling (MCS) method and applying this method on heterogeneous network traffic on intranet. Resource management and admission control have been notified to bursty traffic. They have introduced new approach based on MCS to overcome network congestion. Simulation results shows that their proposed mechanism is better in terms of throughput, utilization and appropriate congestion window size while comparing with previous scheme based on fuzzy networks.

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International Journal of Computer Networks and Communications Security (IJCNCS)