The level of complexity for modelling Internet traffic is equivalent to that of modelling highly non-linear natural systems. A network is essentially made up of a large number of queues. The effects of traffic volumes on service time and waiting time are discussed using a simplified form of the queuing theory. The key attributes that influence network traffic are identified. A numerical optimisation based approach is suggested to analyse the existing Internet architecture for future developments. The increase in the routing table sizes with the increase in the number of networked devices is discussed. A parallel-distributed routing approach is identified for devising a scalable routing architecture.
['M. Isreb', 'Asad I. Khan']
Internet traffic congestion modelling and parallel distributed analysis