Presentation 2009-05-22
A study on service classification of traffic pattern
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 time-series 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.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) traffic / QoS / time-series traffic data / service classification / pattern recognition
Paper # NS2009-29
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Conference Information
Committee NS
Conference Date 2009/5/14(1days)
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Paper Information
Registration To Network Systems(NS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A study on service classification of traffic pattern
Sub Title (in English)
Keyword(1) traffic
Keyword(2) QoS
Keyword(3) time-series traffic data
Keyword(4) service classification
Keyword(5) pattern recognition
1st Author's Name Takeshi YAMASHITA
1st Author's Affiliation Graduate school of Fundamental Sience and Engineering, Waseda University()
2nd Author's Name Kentaro HOSHI
2nd Author's Affiliation Graduate school of Fundamental Sience and Engineering, Waseda University
3rd Author's Name Masatsugu ICHINO
3rd Author's Affiliation Graduate school of Fundamental Sience and Engineering, Waseda University
4th Author's Name Naohisa KOMATSU
4th Author's Affiliation Graduate 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 2009-05-22
Paper # NS2009-29
Volume (vol) vol.109
Number (no) 36
Page pp.pp.-
#Pages 6
Date of Issue