Authors: Izabella V. Lokshina; Michael R. Bartolacci
Addresses: Management, Marketing and Information Systems, SUNY – Oneonta, NY 13820, USA ' Information Sciences and Technology, Penn State University, Berks, PA 19610, USA
Abstract: The paper recommends an approach to estimate effectively probability of buffer overflow in self-similar queuing networks with finite buffer capacity. Simulations with stochastic (or long-range dependent) traffic source models are conducted. A new efficient algorithm, based on the RESTART method, is developed and applied to accelerate the buffer overflow simulation in a finite buffer single server model under long-range dependent self-similar traffic load with different buffer sizes. Numerical examples and simulation results are provided.
Keywords: telecommunications; long-range dependent processes; self-similar queuing networks; finite buffer capacity; buffer overflow simulation; RESTART.
International Journal of Mobile Network Design and Innovation, 2014 Vol.5 No.3, pp.144 - 151
Available online: 14 Nov 2014 *Full-text access for editors Access for subscribers Purchase this article Comment on this article