skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Empirical analysis of traffic to establish a profiled flow termination timeout

Attribution-NonCommercial-NoDerivs 3.0 Spain info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/3.0/es/ ;ISBN: 9781467324793 ;ISBN: 1467324795 ;DOI: 10.1109/IWCMC.2013.6583720D

Digital Resources/Online E-Resources

Citations Cited by
  • Title:
    Empirical analysis of traffic to establish a profiled flow termination timeout
  • Author: Molina Rodriguez, Juan ; Carela Español, Valentín ; Barlet Ros, Pere ; Hoffmann, Ralf ; Degner, Klaus
  • Subjects: Classifier optimization ; Comunicació sense fil, Sistemes de ; Enginyeria de la telecomunicació ; Internet ; Internet (Computer network) ; Profiled termination timeout ; Radiocomunicació i exploració electromagnètica ; Telemàtica i xarxes d'ordinadors ; Traffic classification ; Wireless communication systems ; Àrees temàtiques de la UPC
  • Description: The exponential increase of bandwidth on the Internet has made the online traffic classification a highly exigent task. All the operations in the classification process must be efficiently implemented in order to deal with an enormous amount of data. A key point in this process is the selection of a flow termination, a decision that has important consequences for several traffic classification techniques (e.g., DPI-based, Machine Learning-based). For instance, properly expiring the flows reduces the amount of memory necessary and avoids erroneous computation of flow features. In addition, the heterogeneous behaviour of the applications on the Internet have dismissed the traditional techniques to determine the flow termination (i.e., TCP 3/4-way handshake, TCP timeout). In this paper, we first perform a comprehensive study of the flow termination by application groups. Results confirm that traditional techniques are no longer sufficient to determine the flow termination (i.e., <;50% finish with TCP handshake for some groups). In order to address this new scenario we propose a profiled (i.e., by application group) flow termination timeout. This solution has been evaluated in a well-known commercial DPI tool (the Ipoque's PACE engine) achieving a drastic reduction of memory, while keeping the same computation cost and classification accuracy. In order to obtain representative results, two completely different traces have been analysed, one from the core network of a large ISP and another from the edge link of a mobile operator. Peer Reviewed
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • Creation Date: 2013
  • Language: English
  • Identifier: ISBN: 9781467324793
    ISBN: 1467324795
    DOI: 10.1109/IWCMC.2013.6583720D
  • Source: Recercat
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait