STATISTICAL MULTIPLEXING OF RANDOM-PROCESSES IN PACKET-SWITCHING NETWORKS

The authors present an analytical model for the closed form evaluation of relevant parameters characterising the process at the output of a statistical multiplexer. Compared with previous approaches, the propos ed method is able to additionally describe transient conditions and, t hrough the autocorrelation function and the mean length of adjacent pa ckets sequences, to evaluate the extent of the correlation in the outp ut process as a function of that in the input traffic, also taking int o account the effect due to a finite buffer size. The reliability of t he model is tested, under different operation conditions, by compariso n with simulated results, showing everywhere an excellent agreement.