End-to-end congestion detection and avoidance in wide area networks

As human dependence on wide area networks like the Internet increases, so does contention for the network's resources. This contention has noticeably affected the performance of these networks, reducing their usability. This dissertation addresses this problem in two ways. First, it describes T...

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Bibliographic Details
Main Author: Brakmo, Lawrence Sivert
Other Authors: Peterson, Larry L.
Language:en_US
Published: The University of Arizona. 1996
Subjects:
Online Access:http://hdl.handle.net/10150/282192
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spelling ndltd-arizona.edu-oai-arizona.openrepository.com-10150-2821922015-10-23T05:07:10Z End-to-end congestion detection and avoidance in wide area networks Brakmo, Lawrence Sivert Peterson, Larry L. Computer Science. As human dependence on wide area networks like the Internet increases, so does contention for the network's resources. This contention has noticeably affected the performance of these networks, reducing their usability. This dissertation addresses this problem in two ways. First, it describes TCP Vegas, a new implementation of TCP that is distinguished from current TCP implementations by containing a new congestion detection and avoidance mechanism. This mechanism was designed to work in currently available wide area networks and achieves between 37% and 71% better throughput on the Internet, with one-fifth to one-half the losses, as compared to the current implementation of TCP. Second, it describes x-Sim, a network simulator based on the x-kernel, that is able to simulate the topologies and traffic patterns of large scale networks. The usefulness of the simulator to analyze and debug network components is illustrated throughout this dissertation. 1996 text Dissertation-Reproduction (electronic) http://hdl.handle.net/10150/282192 9713446 .b34463008 en_US Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. The University of Arizona.
collection NDLTD
language en_US
sources NDLTD
topic Computer Science.
spellingShingle Computer Science.
Brakmo, Lawrence Sivert
End-to-end congestion detection and avoidance in wide area networks
description As human dependence on wide area networks like the Internet increases, so does contention for the network's resources. This contention has noticeably affected the performance of these networks, reducing their usability. This dissertation addresses this problem in two ways. First, it describes TCP Vegas, a new implementation of TCP that is distinguished from current TCP implementations by containing a new congestion detection and avoidance mechanism. This mechanism was designed to work in currently available wide area networks and achieves between 37% and 71% better throughput on the Internet, with one-fifth to one-half the losses, as compared to the current implementation of TCP. Second, it describes x-Sim, a network simulator based on the x-kernel, that is able to simulate the topologies and traffic patterns of large scale networks. The usefulness of the simulator to analyze and debug network components is illustrated throughout this dissertation.
author2 Peterson, Larry L.
author_facet Peterson, Larry L.
Brakmo, Lawrence Sivert
author Brakmo, Lawrence Sivert
author_sort Brakmo, Lawrence Sivert
title End-to-end congestion detection and avoidance in wide area networks
title_short End-to-end congestion detection and avoidance in wide area networks
title_full End-to-end congestion detection and avoidance in wide area networks
title_fullStr End-to-end congestion detection and avoidance in wide area networks
title_full_unstemmed End-to-end congestion detection and avoidance in wide area networks
title_sort end-to-end congestion detection and avoidance in wide area networks
publisher The University of Arizona.
publishDate 1996
url http://hdl.handle.net/10150/282192
work_keys_str_mv AT brakmolawrencesivert endtoendcongestiondetectionandavoidanceinwideareanetworks
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