advanced operations research techniques for multi-constraint qos routing in internet

internet traffic has grown exponentially over last few years due to provision of multiple class services through internet backbone. with the explosive use of internet, contemporary internet routers are susceptible to overloads and their services deteriorate drastically and often cause denial of services. in this paper, an analysis is made how forecasting technique, routing algorithm and genetic algorithm can be simultaneously applied for solving a multi-constrained routing problem in quality of service (qos) traffic in internet. also, a model is suggested for solving the above-mentioned problem. simulation results show that the throughput of the given network is enhanced by implementing the model. it can also be seen that the average delay of packets flowing through the network comes down when the proposed model is employed for the network.