Characterizing traffic flows originating from large-scale video sharing services

Tatsuya Mori*, Ryoichi Kawahara, Haruhisa Hasegawa, Shinsuke Shimogawa

*Corresponding author for this work

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

18 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 publicationTraffic Monitoring and Analysis - Second International Workshop, TMA 2010, Proceedings
Pages17-31
Number of pages15
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2nd International Workshop on Traffic Monitoring and Analysis, TMA 2010 - Zurich, Switzerland
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)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Workshop on Traffic Monitoring and Analysis, TMA 2010
Country/TerritorySwitzerland
CityZurich
Period10/4/710/4/7

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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