Time-Parallel Generation of Self-Similar ATM Traffic

We present a time–parallel technique for the fast generation of self–similar traffic which is suitable for performance studies of Asynchronous Transfer Mode (ATM) networks. The technique is based on the well known result according to which the aggregation of a large number of heavy–tailed ON/OFF– type renewal/reward processes asymptotically approximates a Fractional Gaussian Noise (FGN) process and, therefore, it possesses the characteristics of self–similarity and long–range dependence. The technique parallelizes both the generation of the individual renewal/reward processes as well as the merging of these processes in a per–time–slice manner. Results obtained from a message–passing implementation on a cluster of workstations confirm that it is possible to generate self–similar ATM traffic in real– time for 155 Mbps (or even faster) links and that, furthermore, the technique achieves an almost linear speedup with respect to the number of available workstations....

• Type: Conference
• Year: 1997
• Where: WSC
• Authors: Ioanis Nikolaidis, C. Anthony Cooper, Kalyan S. Perumalla, Richard M. Fujimoto
• Keywords: Asynchronous Transfer Mode, Fractional Gaussian Noise, Modeling And Simulation, Time–parallel Technique, WSC 1997