TY - GEN
T1 - Characterizing traffic flows originating from large-scale video sharing services
AU - Mori, Tatsuya
AU - Kawahara, Ryoichi
AU - Hasegawa, Haruhisa
AU - Shimogawa, Shinsuke
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77952084669&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-12365-8_2
DO - 10.1007/978-3-642-12365-8_2
M3 - Conference contribution
AN - SCOPUS:77952084669
SN - 3642123643
SN - 9783642123641
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 17
EP - 31
BT - Traffic Monitoring and Analysis - Second International Workshop, TMA 2010, Proceedings
T2 - 2nd International Workshop on Traffic Monitoring and Analysis, TMA 2010
Y2 - 7 April 2010 through 7 April 2010
ER -