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| Paper Abstract and Keywords | ||
| Presentation | 2019-04-18 15:50 [Invited Talk] Application-Specific Network Slicing Leveraging P4 Switch and Deep Learning Ping DU, Akihiro Nakao (UTokyo)  NS2019-9 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The future Mobile networks are expected to support multiple kinds of applications with different QoS requirements. Effectively identifying application is desirable for network operators to improve spectrum efficiency and user experience in both Radio Access Network (RAN) and Core Network (CN). In this presentation, we present an application-specific mobile network architecture leveraging P4 and in-network deep learning to apply application specific radio spectrum scheduling in RAN, Quality-of-Service (QoS) control and various network function per application. We will first present the P4 workflow and how to generate expert data with P4 switch. Then we will introduce how to identify the application applying the deep learning with the generated expert data. Finally, we will also introduce the evaluation of our proof-of-concept implementation on FLARE. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | P4 / Application-Specific / Network Slicing / Deep Learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 5, NS2019-9, pp. 49-54, April 2019. | |
| Paper # | NS2019-9 | |
| Date of Issue | 2019-04-11 (NS) | |
| 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 | NS2019-9 |
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| Conference Information | |
| Committee | NS |
| Conference Date | 2019-04-18 - 2019-04-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tenmonkan Vision Hall |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Traffic, Network evaluation, Performance, Resource control and management, Traffic engineering, Network reliability and resilience, Network Intelligence and AI, etc. |
| Paper Information | |
| Registration To | NS |
| Conference Code | 2019-04-NS |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Application-Specific Network Slicing Leveraging P4 Switch and Deep Learning |
| Sub Title (in English) | |
| Keyword(1) | P4 |
| Keyword(2) | Application-Specific |
| Keyword(3) | Network Slicing |
| Keyword(4) | Deep Learning |
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| 1st Author's Name | Ping DU |
| 1st Author's Affiliation | The University of Tokyo (UTokyo) |
| 2nd Author's Name | Akihiro Nakao |
| 2nd Author's Affiliation | The University of Tokyo (UTokyo) |
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| Speaker | Author-1 |
| Date Time | 2019-04-18 15:50:00 |
| Presentation Time | 50 minutes |
| Registration for | NS |
| Paper # | NS2019-9 |
| Volume (vol) | vol.119 |
| Number (no) | no.5 |
| Page | pp.49-54 |
| #Pages | 6 |
| Date of Issue | 2019-04-11 (NS) |
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