Paper Abstract and Keywords |
Presentation |
2023-04-13 14:15
A Study on Optimal Teacher Signal for Path Planning Method using Machine Learning Makoto Ito, Tatsuki Shizukuishi, Taiju Mikoshi (Nihon Univ.) NS2023-4 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The proposed method define the machine learning model and teacher signal so that the entire path from source to destination nodes can design for a traffic demand sets consisting of multiple site to site traffic.
The proposed method can design paths that no-congestion and correct connectivity with high accuracy using a small-to-medium topology.
On the other hand, the proposed method is using a dijkstra method, where the link cost is the reciprocal of the residual bandwidth, for creating teacher signals. Therefor, this is not sufficient of optimization of network resources.
In this research, we examine the creation of a teacher signals using a linear programming. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Traffic Engineering / Congestion Control / Path Planning / Mathematical Optimization / Teacher Signal / / / |
Reference Info. |
IEICE Tech. Rep., vol. 123, no. 2, NS2023-4, pp. 19-24, April 2023. |
Paper # |
NS2023-4 |
Date of Issue |
2023-04-06 (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 |
NS2023-4 |
Conference Information |
Committee |
NS |
Conference Date |
2023-04-13 - 2023-04-14 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Nihon University, Koriyama Campus + Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Communication traffic theory, Traffic and quality evaluation, Network performance evaluation, QoS/QoE, Reliability and robustness, Traffic and quality management, AI and machine learning, Network and system operation management, High capacity, low latency, many connections, General |
Paper Information |
Registration To |
NS |
Conference Code |
2023-04-NS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study on Optimal Teacher Signal for Path Planning Method using Machine Learning |
Sub Title (in English) |
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Keyword(1) |
Traffic Engineering |
Keyword(2) |
Congestion Control |
Keyword(3) |
Path Planning |
Keyword(4) |
Mathematical Optimization |
Keyword(5) |
Teacher Signal |
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1st Author's Name |
Makoto Ito |
1st Author's Affiliation |
Nihon University (Nihon Univ.) |
2nd Author's Name |
Tatsuki Shizukuishi |
2nd Author's Affiliation |
Nihon University (Nihon Univ.) |
3rd Author's Name |
Taiju Mikoshi |
3rd Author's Affiliation |
Nihon University (Nihon Univ.) |
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Speaker |
Author-1 |
Date Time |
2023-04-13 14:15:00 |
Presentation Time |
25 minutes |
Registration for |
NS |
Paper # |
NS2023-4 |
Volume (vol) |
vol.123 |
Number (no) |
no.2 |
Page |
pp.19-24 |
#Pages |
6 |
Date of Issue |
2023-04-06 (NS) |
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