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Accelerated Buffer Overflow Simulation in Self-Similar Queuing Networks with Long-Range Dependent Processes and Finite Buffer Capacity

  • The paper recommends an approach to estimate effectively the probability of buffer overflow in high-speed communication networks, capable of carrying diverse traffic, including self-similar teletraffic, and supporting diverse levels of quality of service. Simulations with stochastic, long-range dependent self-similar traffic source models are conducted. A new efficient algorithm, based on aThe paper recommends an approach to estimate effectively the probability of buffer overflow in high-speed communication networks, capable of carrying diverse traffic, including self-similar teletraffic, and supporting diverse levels of quality of service. Simulations with stochastic, long-range dependent self-similar traffic source models are conducted. A new efficient algorithm, based on a variant of the RESTART/LRE 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 shownshow moreshow less

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Metadaten
Author:Izabella Lokshina, Thomas Wendt, Cees Lanting
Year of Publication:2016
Pagenumber:7
ISBN:978-1-5090-4318-7
Language:English
Document Type:Conference Proceeding
Institutes:Hochschule Offenburg / Bibliografie
Release Date:2017/08/22
Licence (German):License LogoEs gilt das UrhG
URL:http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7805775
DOI:https://doi.org/10.1109/IDAACS-SWS.2016.7805775