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Paper Abstract and Keywords
Presentation 2020-05-15 11:10
Prediction of Hyper Giants in AS topology using machine learning
Takuro Kudo, Michiko Harayama (Gifu Univ.) NS2020-14
Abstract (in Japanese) (See Japanese page) 
(in English) For decades, the Internet penetration rate in the world is increasing rapidly. On behave of this, the structure of AS topology has been getting complicated. Our laboratory has been studied the analysis of AS topology and the index to measure the influence of Hyper Giants. In previous studies, analysis was performed focusing on the ratio of P2C connections and P2P connections for Tier1 to Tier3. From these analysis results, it would be possible to predict Hyper Giants using machine learning of the feature values of AS. In this study, we predict unknown Hyper Giants using machine learning methods based on the features of AS in the AS topology. As a result of the prediction, we could extract ASes of huge content distribution networks and of video distribution services.
Keyword (in Japanese) (See Japanese page) 
(in English) AS topology / Hyper Giants / Machine learning / Random Forest / Prediction / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 19, NS2020-14, pp. 39-44, May 2020.
Paper # NS2020-14 
Date of Issue 2020-05-07 (NS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 NS2020-14

Conference Information
Committee NS  
Conference Date 2020-05-14 - 2020-05-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) High level protocol, Networking technologies (IP and high-layer routing/filtering, Multicast, Quality/Routing control), IP network application technologies (P2P, P4P, Overlay, SIP, NGN), Network system related technologies (System configuration, Interface, Architecture, Hardware/Software/Middleware), Security, Blockchain etc. 
Paper Information
Registration To NS 
Conference Code 2020-05-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Prediction of Hyper Giants in AS topology using machine learning 
Sub Title (in English)  
Keyword(1) AS topology  
Keyword(2) Hyper Giants  
Keyword(3) Machine learning  
Keyword(4) Random Forest  
Keyword(5) Prediction  
1st Author's Name Takuro Kudo  
1st Author's Affiliation Gifu University Graduate School (Gifu Univ.)
2nd Author's Name Michiko Harayama  
2nd Author's Affiliation Gifu University (Gifu Univ.)
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Date Time 2020-05-15 11:10:00 
Presentation Time 25 
Registration for NS 
Paper # IEICE-NS2020-14 
Volume (vol) IEICE-120 
Number (no) no.19 
Page pp.39-44 
#Pages IEICE-6 
Date of Issue IEICE-NS-2020-05-07 

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