| Paper Abstract and Keywords |
| Presentation |
2024-06-17 14:20
A Study on Optimization of Virtual Network Embedding by Deep Reinforcement Learning Sumire Yoneno, Shao Xun (Toyohashi Tech) IA2024-3 ICSS2024-3 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Network virtualization is a technology to realize multiple virtual networks on a physical network, and has attracted attention as an important means to improve flexibility and efficiency. In this study, we addressed the combinatorial optimization problem in virtual network embedding and proposed deep reinforcement learning. Specifically, we developed an efficient virtual network embedding method using "Dueling Double DQN". Experimental results showed that the communication delay and resource balance were effectively optimized, and overall performance was also improved. In the future, we will pursue comprehensive network optimization with the aim of achieving bandwidth control. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Network Virtualization / Virtual Network Embedding / Combinatorial Optimization / Deep Reinforcement Learning / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 124, no. 82, IA2024-3, pp. 13-18, June 2024. |
| Paper # |
IA2024-3 |
| Date of Issue |
2024-06-10 (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 |
IA2024-3 ICSS2024-3 |
| Conference Information |
| Committee |
IA ICSS |
| Conference Date |
2024-06-17 - 2024-06-18 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Okayama University |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Internet Security, etc. |
| Paper Information |
| Registration To |
IA |
| Conference Code |
2024-06-IA-ICSS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Study on Optimization of Virtual Network Embedding by Deep Reinforcement Learning |
| Sub Title (in English) |
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| Keyword(1) |
Network Virtualization |
| Keyword(2) |
Virtual Network Embedding |
| Keyword(3) |
Combinatorial Optimization |
| Keyword(4) |
Deep Reinforcement Learning |
| Keyword(5) |
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| Keyword(6) |
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| Keyword(7) |
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| 1st Author's Name |
Sumire Yoneno |
| 1st Author's Affiliation |
Toyohashi University of Technology (Toyohashi Tech) |
| 2nd Author's Name |
Shao Xun |
| 2nd Author's Affiliation |
Toyohashi University of Technology (Toyohashi Tech) |
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| Speaker |
Author-1 |
| Date Time |
2024-06-17 14:20:00 |
| Presentation Time |
25 minutes |
| Registration for |
IA |
| Paper # |
IA2024-3, ICSS2024-3 |
| Volume (vol) |
vol.124 |
| Number (no) |
no.82(IA), no.83(ICSS) |
| Page |
pp.13-18 |
| #Pages |
6 |
| Date of Issue |
2024-06-10 (IA, ICSS) |