Presentation 2009-11-13
A study on service classification using time-series traffic data
Takeshi YAMASHITA, Kentaro HOSHI, Masatsugu ICHINO, Naohisa KOMATSU, Kei TAKESHITA, Masayuki TSUJINO,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Network Traffic has increased rapidly by spreading high-speed internet. In order to offer quality of each service, network administrators should identify the amount of traffic. Therefore, we study a method that classifies the traffic data into service by using consecutive traffic data. In this paper, we explain the concept of the method, and suggest which feature is effective to classify the traffic data using pattern recognition.
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Keyword(in English) traffic / QoS / service classification / pattern recognition
Paper # CQ2009-54
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Conference Information
Committee CQ
Conference Date 2009/11/5(1days)
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Paper Information
Registration To Communication Quality (CQ)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A study on service classification using time-series traffic data
Sub Title (in English)
Keyword(1) traffic
Keyword(2) QoS
Keyword(3) service classification
Keyword(4) pattern recognition
1st Author's Name Takeshi YAMASHITA
1st Author's Affiliation Guraduate school of Fundamental Sience and Engineering, Waseda University()
2nd Author's Name Kentaro HOSHI
2nd Author's Affiliation Guraduate school of Fundamental Sience and Engineering, Waseda University
3rd Author's Name Masatsugu ICHINO
3rd Author's Affiliation Guraduate school of Fundamental Sience and Engineering, Waseda University
4th Author's Name Naohisa KOMATSU
4th Author's Affiliation Guraduate school of Fundamental Sience and Engineering, Waseda University
5th Author's Name Kei TAKESHITA
5th Author's Affiliation NTT Service Integration Laboratories, NTT Corporation
6th Author's Name Masayuki TSUJINO
6th Author's Affiliation NTT Service Integration Laboratories, NTT Corporation
Date 2009-11-13
Paper # CQ2009-54
Volume (vol) vol.109
Number (no) 274
Page pp.pp.-
#Pages 6
Date of Issue