research-article

TCP Fairness Evaluation with Modified Controlled Delay in the Practical Networks

Authors:

Saneyasu Yamaguchi,

Aki KobayashiAuthors Info & Claims

IMCOM '18: Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication

Article No.: 77, Pages 1 - 7

https://doi.org/10.1145/3164541.3164558

Published: 05 January 2018 Publication History

Abstract

The recent networks have problems on TCP fairness and Bufferbloat. The former is the fairness among TCP algorithms, which many proposals of fast TCP algorithms have raised. The latter is the high latency in packet-switched networks due to the excess buffering of packets in network elements. CoDel was proposed to overcome Bufferbloat. In addition, we demonstrated that applying CoDel improved the TCP fairness and proposed to enhance CoDel in order to improve TCP fairness in our previous work. This method was evaluated only on non-practical networks, which are networks in our laboratory for evaluation. In this paper, we present performance evaluations of the method on practical networks and demonstrate that the method can improve TCP fairness in these networks.

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Cited By

Zhu HZhang HWan JHe GZhang L(2022)Introducing Additional Network Measurements into Active Queue ManagementICC 2022 - IEEE International Conference on Communications10.1109/ICC45855.2022.9838741(2303-2308)Online publication date: 16-May-2022
https://doi.org/10.1109/ICC45855.2022.9838741
Hagos DEngelstad PYazid AGriwodz C(2019)A Deep Learning Approach to Dynamic Passive RTT Prediction Model for TCP2019 IEEE 38th International Performance Computing and Communications Conference (IPCCC)10.1109/IPCCC47392.2019.8958727(1-10)Online publication date: Oct-2019
https://doi.org/10.1109/IPCCC47392.2019.8958727

Index Terms

TCP Fairness Evaluation with Modified Controlled Delay in the Practical Networks
1. Networks
  1. Network protocols
    1. Transport protocols
  2. Network services
    1. Network management

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cover image ACM Other conferences

IMCOM '18: Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication

January 2018

628 pages

ISBN:9781450363853

DOI:10.1145/3164541

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SKKU: SUNGKYUNKWAN UNIVERSITY

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New York, NY, United States

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Published: 05 January 2018

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IMCOM '18

IMCOM '18: The 12th International Conference on Ubiquitous Information Management and Communication

January 5 - 7, 2018

Langkawi, Malaysia

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IMCOM '18 Paper Acceptance Rate 100 of 255 submissions, 39%;

Overall Acceptance Rate 213 of 621 submissions, 34%

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Cited By

Zhu HZhang HWan JHe GZhang L(2022)Introducing Additional Network Measurements into Active Queue ManagementICC 2022 - IEEE International Conference on Communications10.1109/ICC45855.2022.9838741(2303-2308)Online publication date: 16-May-2022
https://doi.org/10.1109/ICC45855.2022.9838741
Hagos DEngelstad PYazid AGriwodz C(2019)A Deep Learning Approach to Dynamic Passive RTT Prediction Model for TCP2019 IEEE 38th International Performance Computing and Communications Conference (IPCCC)10.1109/IPCCC47392.2019.8958727(1-10)Online publication date: Oct-2019
https://doi.org/10.1109/IPCCC47392.2019.8958727

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