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Paper Abstract and Keywords
Presentation 2014-12-19 14:20
Traffic Classification on Mobile Network Considering Various Types of Network Traffic Flow
Masaki Suzuki, Masafumi Watari, Shigehiro Ano (KDDI Labs.), Masato Tsuru (Kyutech) IN2014-96
Abstract (in Japanese) (See Japanese page) 
(in English) The amount of mobile traffic data has been increasing in the recent years since the smartphones have become widely used and the multimedia contents have become rich. For the mobile core network design, it is better for the network designer to consider the characteristics of the smartphone traffic. The smartphone traffic is categorized into foreground (FG) traffic and background (BG) traffic in terms that the traffic is triggered by human interaction and these types of traffic have different effect on users in the case of network congestion. However, it is difficult for the network designer to understand the characteristics since both of traffic occur complicatedly. In this paper, we propose a traffic classification method at the mobile core network. The proposed method, first, captures packets at the mobile core network. Then, the proposed method labels each TCP flow as BG traffic by using a machine learning method with metrics in the TCP/IP layer. Through the procedures, we model the common characteristics of BG traffic. The proposed method is evaluated by experiments using experimental data through the Wi-Fi connection and its effectiveness is described in terms of the accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Background traffic / Traffic classification / Machine learning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 373, IN2014-96, pp. 29-34, Dec. 2014.
Paper # IN2014-96 
Date of Issue 2014-12-11 (IN) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee IA IN  
Conference Date 2014-12-18 - 2014-12-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Hiroshima City University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Performance Analysis and Simulation, Robustness, Traffic and Throughput Measurement, Quality of Service (QoS) Control, Congestion Control, Overlay Network/P2P, IPv6, Multicast, Routing, DDoS, etc. 
Paper Information
Registration To IN 
Conference Code 2014-12-IA-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Traffic Classification on Mobile Network Considering Various Types of Network Traffic Flow 
Sub Title (in English)  
Keyword(1) Background traffic  
Keyword(2) Traffic classification  
Keyword(3) Machine learning  
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1st Author's Name Masaki Suzuki  
1st Author's Affiliation KDDI R&D Laboratories, Inc. (KDDI Labs.)
2nd Author's Name Masafumi Watari  
2nd Author's Affiliation KDDI R&D Laboratories, Inc. (KDDI Labs.)
3rd Author's Name Shigehiro Ano  
3rd Author's Affiliation KDDI R&D Laboratories, Inc. (KDDI Labs.)
4th Author's Name Masato Tsuru  
4th Author's Affiliation Kyushu Institute of Technology (Kyutech)
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Speaker Author-1 
Date Time 2014-12-19 14:20:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2014-96 
Volume (vol) vol.114 
Number (no) no.373 
Page pp.29-34 
#Pages
Date of Issue 2014-12-11 (IN) 


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