Characterizing traffic flows originating from large-scale video sharing services

Tatsuya Mori, Ryoichi Kawahara, Haruhisa Hasegawa, Shinsuke Shimogawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

Abstract

This work attempts to characterize network traffic flows originating from large-scale video sharing services such as YouTube. The key technical contributions of this paper are twofold. We first present a simple and effective methodology that identifies traffic flows originating from video hosting servers. The key idea behind our approach is to leverage the addressing/naming conventions used in large-scale server farms. Next, using the identified video flows, we investigate the characteristics of network traffic flows of video sharing services from a network service provider view. Our study reveals the intrinsic characteristics of the flow size distributions of video sharing services. The origin of the intrinsic characteristics is rooted on the differentiated service provided for free and premium membership of the video sharing services. We also investigate temporal characteristics of video traffic flows.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages17-31
Number of pages15
Volume6003 LNCS
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2nd International Workshop on Traffic Monitoring and Analysis, TMA 2010 - Zurich
Duration: 2010 Apr 72010 Apr 7

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6003 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Workshop on Traffic Monitoring and Analysis, TMA 2010
CityZurich
Period10/4/710/4/7

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ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Mori, T., Kawahara, R., Hasegawa, H., & Shimogawa, S. (2010). Characterizing traffic flows originating from large-scale video sharing services. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6003 LNCS, pp. 17-31). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6003 LNCS). https://doi.org/10.1007/978-3-642-12365-8_2