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Paper Abstract and Keywords
Presentation 2013-03-07 09:40
Internet-Traffic Identification using Regenerative On-Off Arrival Processes
Kenzo Hara, Hiroyuki Masuyama (Kyoto Univ.), Shoji Kasahara (NAIST), Yutaka Takahashi (Kyoto Univ.) NS2012-193
Abstract (in Japanese) (See Japanese page) 
(in English) It is significantly important to capture the long-term correlation structure in modeling the Internet traffic. In this paper, we propose an Internet-traffic identification scheme with a discrete-time regenerative on-off arrival process, which can exhibit a long range dependency. We assume for the regenerative on-off arrival process that the off period is independent and identically distributed (i.i.d.) with a geometric distribution, and that the on period is i.i.d.~with a general distribution. Under this setting, we propose a fitting method of the increment of packets arriving during an on period by a zeta distribution. We also adopt, as a measure of the accuracy of identification, the packet-loss probability of a single-server finite-buffer queue with deterministic services. To investigate the utility of our method, we perform numerical experiments using real traffic data and those of the M/G/$\infty$ input generated by Monte-Carlo simulation. Numerical examples show that the proposed identification scheme works well for the M/G/$\infty$ input. It is also shown that for real traffic data, the proposed scheme can provide good estimates of the packet-loss probability when the buffer size is small.
Keyword (in Japanese) (See Japanese page) 
(in English) Traffic modeling / regenerative on-off arrival process / long range dependency / loss probability / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 463, NS2012-193, pp. 163-168, March 2013.
Paper # NS2012-193 
Date of Issue 2013-02-28 (NS) 
ISSN Print edition: ISSN 0913-5685    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 NS2012-193

Conference Information
Committee NS IN  
Conference Date 2013-03-07 - 2013-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Zanpamisaki Royal Hotel 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NS 
Conference Code 2013-03-NS-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Internet-Traffic Identification using Regenerative On-Off Arrival Processes 
Sub Title (in English)  
Keyword(1) Traffic modeling  
Keyword(2) regenerative on-off arrival process  
Keyword(3) long range dependency  
Keyword(4) loss probability  
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1st Author's Name Kenzo Hara  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Hiroyuki Masuyama  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
3rd Author's Name Shoji Kasahara  
3rd Author's Affiliation Nara Institute of Science and Technology (NAIST)
4th Author's Name Yutaka Takahashi  
4th Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-1 
Date Time 2013-03-07 09:40:00 
Presentation Time 20 minutes 
Registration for NS 
Paper # NS2012-193 
Volume (vol) vol.112 
Number (no) no.463 
Page pp.163-168 
#Pages 6 
Date of Issue 2013-02-28 (NS) 

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