Stochastic models for network traffic
Traffic modeling is an integral part of teletraffic analysis for engineering telecommunication networks. In this dissertation, we develop a Hierarchical model for teletraffic. The model is motivated by the physical nature of the generation of the traffic. We present an analysis of the model from a s...
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ndltd-UMASS-oai-scholarworks.umass.edu-dissertations-33712020-12-02T14:35:24Z Stochastic models for network traffic Misra, Vishal Traffic modeling is an integral part of teletraffic analysis for engineering telecommunication networks. In this dissertation, we develop a Hierarchical model for teletraffic. The model is motivated by the physical nature of the generation of the traffic. We present an analysis of the model from a signal theoretic point of view, explaining some of the recent observations of network traffic. We also provide a novel technique to model TCP traffic, one of the most important components of a layer of our hierarchy. We develop analysis techniques for our model. The predictions of our model match experiments done on the Internet well. We extend our TCP model to describe a complete system of networks of active queue management routers carrying TCP traffic. We develop a numerical scheme to obtain performance metrics of such networks. Our numerical scheme matches well with simulations and we are able to get an in-depth understanding of RED, one of the more popular active queue management schemes. 2000-01-01T08:00:00Z text https://scholarworks.umass.edu/dissertations/AAI9978528 Doctoral Dissertations Available from Proquest ENG ScholarWorks@UMass Amherst Electrical engineering|Computer science |
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ENG |
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Electrical engineering|Computer science |
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Electrical engineering|Computer science Misra, Vishal Stochastic models for network traffic |
description |
Traffic modeling is an integral part of teletraffic analysis for engineering telecommunication networks. In this dissertation, we develop a Hierarchical model for teletraffic. The model is motivated by the physical nature of the generation of the traffic. We present an analysis of the model from a signal theoretic point of view, explaining some of the recent observations of network traffic. We also provide a novel technique to model TCP traffic, one of the most important components of a layer of our hierarchy. We develop analysis techniques for our model. The predictions of our model match experiments done on the Internet well. We extend our TCP model to describe a complete system of networks of active queue management routers carrying TCP traffic. We develop a numerical scheme to obtain performance metrics of such networks. Our numerical scheme matches well with simulations and we are able to get an in-depth understanding of RED, one of the more popular active queue management schemes. |
author |
Misra, Vishal |
author_facet |
Misra, Vishal |
author_sort |
Misra, Vishal |
title |
Stochastic models for network traffic |
title_short |
Stochastic models for network traffic |
title_full |
Stochastic models for network traffic |
title_fullStr |
Stochastic models for network traffic |
title_full_unstemmed |
Stochastic models for network traffic |
title_sort |
stochastic models for network traffic |
publisher |
ScholarWorks@UMass Amherst |
publishDate |
2000 |
url |
https://scholarworks.umass.edu/dissertations/AAI9978528 |
work_keys_str_mv |
AT misravishal stochasticmodelsfornetworktraffic |
_version_ |
1719365217069039616 |