Link Capacity Distributions and Optimal Capacities for Competent Network Performance
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This work addresses traffic volume, link capacity, and elimination of congestion in networks with packetized traffic flows. We adopt an analytical approach for evaluating link capacities using stochastic distributions, under the presumptions regarding i) the graphical topology of the network, ii) the routing model, and iii) the flow information of the packets being transmitted in the network. Knowledge of the capacity distributions of the links has equipped us with the technique to determine the optimal link capacities. This optimal solution provides a rigid state of the traffic flow in the network which is characterized mathematically in this work. Circumventing congestion and downtime for an individual link and the network at large and thereby ensuring optimal operability are the main objectives of this paper. In this work, we analyze a network that achieves up-time 85% using the algorithm to determine the corresponding link capacities of any network.