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Paper Abstract and Keywords
Presentation 2025-06-23 13:00
Fairness Improvement Using Automatic Classification of Congestion Control Algorithms in Programmable Data Plane Network
Yuya Kotoku, Daiki Nobayashi, Takeshi Ikenaga (KIT) IA2025-3 ICSS2025-3
Abstract (in Japanese) (See Japanese page) 
(in English) Congestion control for transport protocols affects end to end communication quality.
Two congestion control algorithms (CCAs) have been mainstream in transport protocols: one is CUBIC, a standard feature in Windows OS and Linux OS, and the other is BBR, developed by Google.
Previous studies have reported that when these different CCAs compete, the performance of each communication flow becomes unfair depending on the environment of intermediate devices.
The different throughput of each communication for each buffer size is indicated the performance.
Therefore, in this study, we propose a method to identify the type of CCA in intermediate devices and perform different relay controls for each CCA using Programmable Data-Plane Network (PDPN).
This research aims to improve the overall communication performance of the network and the fairness among flows.
In addition, experiments using the network emulator Mininet verified the effectiveness of the proposed method.
The experiments showed that the proposed method can improve the fairness among each communication flow by storing each CCA in the dedicated buffer.
Keyword (in Japanese) (See Japanese page) 
(in English) BBR / CUBIC / Congestion control / Machine learning / Programmable data plane / P4 / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 85, IA2025-3, pp. 13-18, June 2025.
Paper # IA2025-3 
Date of Issue 2025-06-16 (IA, ICSS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IA2025-3 ICSS2025-3

Conference Information
Committee IA ICSS  
Conference Date 2025-06-23 - 2025-06-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Hiroshima University, Higashi Senda Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Internet Security, etc. 
Paper Information
Registration To IA 
Conference Code 2025-06-IA-ICSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Fairness Improvement Using Automatic Classification of Congestion Control Algorithms in Programmable Data Plane Network 
Sub Title (in English)  
Keyword(1) BBR  
Keyword(2) CUBIC  
Keyword(3) Congestion control  
Keyword(4) Machine learning  
Keyword(5) Programmable data plane  
Keyword(6) P4  
Keyword(7)  
Keyword(8)  
1st Author's Name Yuya Kotoku  
1st Author's Affiliation Kyushu Institute of Technology (KIT)
2nd Author's Name Daiki Nobayashi  
2nd Author's Affiliation Kyushu Institute of Technology (KIT)
3rd Author's Name Takeshi Ikenaga  
3rd Author's Affiliation Kyushu Institute of Technology (KIT)
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Speaker Author-1 
Date Time 2025-06-23 13:00:00 
Presentation Time 25 minutes 
Registration for IA 
Paper # IA2025-3, ICSS2025-3 
Volume (vol) vol.125 
Number (no) no.85(IA), no.86(ICSS) 
Page pp.13-18 
#Pages 6 
Date of Issue 2025-06-16 (IA, ICSS) 

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