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 shown…
| 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: | 2017 |
| 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): |  Urheberrechtlich geschützt |