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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Main Author: Misra, Vishal
Language:ENG
Published: ScholarWorks@UMass Amherst 2000
Subjects:
Online Access:https://scholarworks.umass.edu/dissertations/AAI9978528
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spelling 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
collection NDLTD
language ENG
sources NDLTD
topic Electrical engineering|Computer science
spellingShingle 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
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