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Paper Abstract and Keywords
Presentation 2006-09-15 15:00
[Encouragement Talk] NetDelta: Method for detailed, long-term analysis of massive amount of traffic data
Tatsuya Mori, Keisuke Ishibashi, Noriaki Kamiyama, Ryoichi Kawahara (NTT), Shoichiro Asano (NII) NS2006-94
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents a novel network measurement method ---
NetDelta --- to establish DEtailed, Long-Term Analysis of a massive
amount of traffic data.
NetDelta analyzes detailed traffic summaries such as volume and
cardinality for each key element of interest, e.g., source IP address,
destination IP address, and destination port number.
The key idea is to apply bitmap-based counting techniques to measure
and store the cardinality statistics.
Traffic summaries are stored in small binary strings, that
conserves the memory resources and disk consumption;
therefore,
long-term analysis of traffic data can be established.
Another unique and valuable feature of NetDelta is that it can change
the granularity of traffic summaries and keys, e.g., to a longer
time-scale and larger network address space.
In general, we do not know which scale is relevant to the analysis in
advance.
Accordingly, being able to change the scale of the stored
traffic summaries and keys to identify the relevant scale is crucial.
NetDelta is able to meet such a demand.
We evaluate the method through the traffic data measured at a
high-speed backbone link.
Keyword (in Japanese) (See Japanese page) 
(in English) measurement / host / cardinality / linear counting / loglog counting / join / /  
Reference Info. IEICE Tech. Rep., vol. 106, no. 236, NS2006-94, pp. 133-138, Sept. 2006.
Paper # NS2006-94 
Date of Issue 2006-09-07 (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 NS2006-94

Conference Information
Committee IN NS CS  
Conference Date 2006-09-14 - 2006-09-15 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) VPN, NAT, Network security, DDos, P2P, etc. 
Paper Information
Registration To NS 
Conference Code 2006-09-IN-NS-CS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) NetDelta: Method for detailed, long-term analysis of massive amount of traffic data 
Sub Title (in English)  
Keyword(1) measurement  
Keyword(2) host  
Keyword(3) cardinality  
Keyword(4) linear counting  
Keyword(5) loglog counting  
Keyword(6) join  
Keyword(7)  
Keyword(8)  
1st Author's Name Tatsuya Mori  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Keisuke Ishibashi  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Noriaki Kamiyama  
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
4th Author's Name Ryoichi Kawahara  
4th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
5th Author's Name Shoichiro Asano  
5th Author's Affiliation National Institute of Informatics (NII)
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Speaker Author-1 
Date Time 2006-09-15 15:00:00 
Presentation Time 20 minutes 
Registration for NS 
Paper # NS2006-94 
Volume (vol) vol.106 
Number (no) no.236 
Page pp.133-138 
#Pages
Date of Issue 2006-09-07 (NS) 


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