Abstract: Information media are basically presented as three categories which are voice, data and image. Traffic in integrat-ed service information networks can be classified into three mathematical models: periodic, random and bursty, if
viewed from time-domain. The former two services have the same characteristics in the large counts, and thus are referred to as uniform service described with binomial distribution. The bursty service has notably different
characteristics and should be described with two-state and one-dimension Markov process. The effect of uni-form and bursty services on the network performance that is chiefly throughput is summarized by quoting the test
results of LANQest LABS, USA. We have reached the conclusion that no matter what the service is, network throughput degrades when the source rate increases; especially, at higher rate the adverse effect of bursty service
is greater than that of uniform service though they have no distinctive difference at lower source rate. The conclu-sion can be used as a reference on network design and capability allocation.

Key words: Information, Network, Mathematical model