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Time-parallel generation of self-similar ATM traffic
1997
Proceedings of the 29th conference on Winter simulation - WSC '97
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/OFFtype 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
doi:10.1145/268437.268742
fatcat:ufvrmyghnbfcja7iudip35fgh4