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(to be completed)

 


ThinkMind // International Journal On Advances in Networks and Services, volume 5, numbers 1 and 2, 2012 // View article netser_v5_n12_2012_4


Real-Time Packet Loss Probability Estimates from IP Traffic Parameters

Authors:
Ahmad Vakili
Jean-Charles Gregoire

Keywords: Packet loss probability, estimation, stochastic traffic process

Abstract:
For network service providers, assessing and monitoring network parameters according to a Service Level Agreement and optimal usage of resources is important. Packet loss is one of the main factors to be monitored, especially when IP networks carry multimedia applications. Measuring network parameters is more valuable when it is accurate and online. In this paper, we propose an accurate approximation for packet loss probability at an intermediate high speed node with finite buffer, where a large number of sources are expected to be aggregated. In this method, based on Large Deviation Theory, estimation of packet loss probability at the intermediate nodes is based on the input stochastic traffic process. In accordance with Central Limit Theorem arguments, the input process is modelled as a general Gaussian process. Different traffic situations and node buffer sizes are simulated (with NS-2 software) and the effectiveness of the method is examined via a detailed numerical investigation. The simulation results show that our proposed method significantly improves the quality of packet loss probability estimate compared to other recently introduced estimators.

Pages: 34 to 42

Copyright: Copyright (c) to authors, 2012. Used with permission.

Publication date: June 30, 2012

Published in: journal

ISSN: 1942-2644

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