research-article

TCP Vegas: end to end congestion avoidance on a global Internet

Authors:

L. S. Brakmo,

L. L. PetersonAuthors Info & Claims

IEEE Journal on Selected Areas in Communications, Volume 13, Issue 8

Pages 1465 - 1480

https://doi.org/10.1109/49.464716

Published: 01 September 2006 Publication History

Abstract

Vegas is an implementation of TCP that achieves between 37 and 71% better throughput on the Internet, with one-fifth to one-half the losses, as compared to the implementation of TCP in the Reno distribution of BSD Unix. This paper motivates and describes the three key techniques employed by Vegas, and presents the results of a comprehensive experimental performance study, using both simulations and measurements on the Internet, of the Vegas and Reno implementations of TCP

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Lu YMa XCui C(2024)DCCSComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2024.110457247:COnline publication date: 18-Jul-2024
https://dl.acm.org/doi/10.1016/j.comnet.2024.110457
Zapletal AKuipers F(2023)Slowdown as a Metric for Congestion Control FairnessProceedings of the 22nd ACM Workshop on Hot Topics in Networks10.1145/3626111.3628185(205-212)Online publication date: 28-Nov-2023
https://dl.acm.org/doi/10.1145/3626111.3628185
Pan THu SAn GFei XWang FChi YGao MWu HZhang JHuang TZhou JTan K(2023)Amphis: Rearchitecturing Congestion Control for Capturing Internet Application VarietyProceedings of the 7th Asia-Pacific Workshop on Networking10.1145/3600061.3600076(95-101)Online publication date: 29-Jun-2023
https://dl.acm.org/doi/10.1145/3600061.3600076
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TCP Vegas: end to end congestion avoidance on a global Internet
1. Networks
  1. Network protocols

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TCP Vegas: new techniques for congestion detection and avoidance
SIGCOMM '94: Proceedings of the conference on Communications architectures, protocols and applications

Vegas is a new implementation of TCP that achieves between 40 and 70% better throughput, with one-fifth to one-half the losses, as compared to the implementation of TCP in the Reno distribution of BSD Unix. This paper motivates and describes the three ...
Analysis and enhancement of TCP Vegas congestion control in a mixed TCP Vegas and TCP Reno network scenario

Its more refined congestion control mechanisms, also based on the estimation of round trip delays, allow TCP Vegas to outperform the more widespread TCP Reno congestion control, based only on the packet loss detection, in a number of network ...
Modeling throughput in TCP vegas

This abstract describes a simple and accurate analytic model for the steady state throughput of TCP Vegas, as a function of round trip time and packet loss rate. Such models have previously been developed for TCP Reno. However, several aspects of TCP ...

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cover image IEEE Journal on Selected Areas in Communications

IEEE Journal on Selected Areas in Communications Volume 13, Issue 8

September 2006

161 pages

ISSN:0733-8716

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IEEE Press

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Published: 01 September 2006

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Lu YMa XCui C(2024)DCCSComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2024.110457247:COnline publication date: 18-Jul-2024
https://dl.acm.org/doi/10.1016/j.comnet.2024.110457
Zapletal AKuipers F(2023)Slowdown as a Metric for Congestion Control FairnessProceedings of the 22nd ACM Workshop on Hot Topics in Networks10.1145/3626111.3628185(205-212)Online publication date: 28-Nov-2023
https://dl.acm.org/doi/10.1145/3626111.3628185
Pan THu SAn GFei XWang FChi YGao MWu HZhang JHuang TZhou JTan K(2023)Amphis: Rearchitecturing Congestion Control for Capturing Internet Application VarietyProceedings of the 7th Asia-Pacific Workshop on Networking10.1145/3600061.3600076(95-101)Online publication date: 29-Jun-2023
https://dl.acm.org/doi/10.1145/3600061.3600076
Bujari ACoreggioli CFranco MMerzougui SPalazzi CSchmidt L(2023)Supporting Smart Farming through Bandwidth Adaptation in Satellite CommunicationsProceedings of the 2023 ACM Conference on Information Technology for Social Good10.1145/3582515.3609520(74-81)Online publication date: 6-Sep-2023
https://dl.acm.org/doi/10.1145/3582515.3609520
Boo JChung YBaek ENa SKim CKim JSolihin YHeinrich M(2023)F4T: A Fast and Flexible FPGA-based Full-stack TCP Acceleration FrameworkProceedings of the 50th Annual International Symposium on Computer Architecture10.1145/3579371.3589090(1-13)Online publication date: 17-Jun-2023
https://dl.acm.org/doi/10.1145/3579371.3589090
Sacco AFlocco MEsposito FMarchetto G(2023)Partially Oblivious Congestion Control for the Internet via Reinforcement LearningIEEE Transactions on Network and Service Management10.1109/TNSM.2022.321566920:2(1644-1659)Online publication date: 1-Jun-2023
https://dl.acm.org/doi/10.1109/TNSM.2022.3215669
Talau MHerek TFonseca MWille E(2023)Improving TCP performance over a common IoT scenario using the Early Window Tailoring methodComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2023.109875234:COnline publication date: 1-Oct-2023
https://dl.acm.org/doi/10.1016/j.comnet.2023.109875
von Hippel MMcMillan KNita-Rotaru CZuck L(2023)A Formal Analysis of Karn’s AlgorithmNetworked Systems10.1007/978-3-031-37765-5_4(43-61)Online publication date: 22-May-2023
https://dl.acm.org/doi/10.1007/978-3-031-37765-5_4
Han YZuo MYuan HZhong YYuan ZBi T(2022)A QoS-Based Fairness-Aware BBR Congestion Control Algorithm Using QUICWireless Communications & Mobile Computing10.1155/2022/72220302022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/7222030
Agarwal AArun VRay DMartins RSeshan S(2022)Automating network heuristic design and analysisProceedings of the 21st ACM Workshop on Hot Topics in Networks10.1145/3563766.3564085(8-16)Online publication date: 14-Nov-2022
https://dl.acm.org/doi/10.1145/3563766.3564085
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Recommendations

TCP Vegas: new techniques for congestion detection and avoidance

Analysis and enhancement of TCP Vegas congestion control in a mixed TCP Vegas and TCP Reno network scenario

Modeling throughput in TCP vegas

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