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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
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/2285
Bibliografische Angaben
Title (English):Accelerated Buffer Overflow Simulation in Self-Similar Queuing Networks with Long-Range Dependent Processes and Finite Buffer Capacity
Conference:3rd International Symposium on Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS), 26-27 Sept. 2016, Offenburg, Germany
Author:Izabella Lokshina, Thomas WendtStaff MemberORCiDGND, Cees Lanting
Year of Publication:2016
Publisher:IEEE
First Page:5
Last Page:10
Parent Title (English):2016 IEEE 3rd International Symposium on Wireless Systems within the IEEE International Conferences on Intelligent Data Acquisition and Advanced Computing Systems
ISBN:978-1-5090-4318-7 (Print on Demand)
ISBN:978-1-5090-4317-0 (Elektronisch)
ISBN:978-1-5090-4316-3 (CD)
DOI:https://doi.org/10.1109/IDAACS-SWS.2016.7805775
URL:http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7805775
Language:English
Inhaltliche Informationen
Institutes:Fakultät Wirtschaft (W)
Forschung / WLRI - Work-Life Robotics Institute
Institutes:Bibliografie
Formale Angaben
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt