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| Presentation | 2022-11-21 13:55 Massive & Passive RTT Estimation Kaito Sawada (Keio), Ryo Nakamura (UTokyo), Keisuke Uehara (Keio)  IA2022-39 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Quality of Experience (QoE) is important in Internet services, and Round Trip Time (RTT) is one of the indicators. While it is easy to measure the RTT from a host to many destinations. But, it is difficult for network administrators to know the RTT between a third-party user and the destination with which the user is communicating. In this study, we aimed to solve this problem by implementing an algorithm based on the TCP RTT measurement method devised by Hao Jiang et al. on a P4 switch. As a result, we implemented a function to measure the RTT between a source and a destination in traffic forwarded by a P4 switch and confirmed that it works. On the other hand, in an environment where the throughput performance of P4 switches is maximized, we found that there are issues due to the size of the SRAM in the hardware P4 switches. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | RTT / P4 / Quality of Experience / TCP / Backbone Network / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 268, IA2022-39, pp. 14-19, Nov. 2022. | |
| Paper # | IA2022-39 | |
| Date of Issue | 2022-11-14 (IA) | |
| 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 | IA2022-39 |
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| Conference Information | |
| Committee | IA |
| Conference Date | 2022-11-21 - 2022-11-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Bandai Civic Hall (Niigata) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Student Sessions, etc. (cosponsored by Committee on Internet Technology) |
| Paper Information | |
| Registration To | IA |
| Conference Code | 2022-11-IA |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Massive & Passive RTT Estimation |
| Sub Title (in English) | |
| Keyword(1) | RTT |
| Keyword(2) | P4 |
| Keyword(3) | Quality of Experience |
| Keyword(4) | TCP |
| Keyword(5) | Backbone Network |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kaito Sawada |
| 1st Author's Affiliation | Keio University (Keio) |
| 2nd Author's Name | Ryo Nakamura |
| 2nd Author's Affiliation | The University of Tokyo (UTokyo) |
| 3rd Author's Name | Keisuke Uehara |
| 3rd Author's Affiliation | Keio University (Keio) |
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| Speaker | Author-1 |
| Date Time | 2022-11-21 13:55:00 |
| Presentation Time | 25 minutes |
| Registration for | IA |
| Paper # | IA2022-39 |
| Volume (vol) | vol.122 |
| Number (no) | no.268 |
| Page | pp.14-19 |
| #Pages | 6 |
| Date of Issue | 2022-11-14 (IA) |
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