A Unified Approximate Evaluation of Congestion Functions for Smooth and Peaky Traffics

摘要: In teletraffic engineering the predictive value of Pascal and Bernoulli distributions has often been noted in relation to problem approximating busy-idle state probabilities lost-call-cleared systems. Because parametric similarities between these two sets their limiting relationship Poisson Gaussian distributions, it is then possible design a unified procedure approximate main congestion functions associated with peaky smooth traffic. Moreover, suitably truncated productform combinations can also be used estimate different levels blocking experienced by streams traffic peakedness factors offered same trunk group. The purpose this paper describe procedure, illustrate its effectiveness, discuss some limitations.