A measurement study of correlations of Internet flow characteristics

Kun Chan Lan, John Heidemann

研究成果: Article同行評審

122 引文 斯高帕斯(Scopus)

摘要

Previous studies of Internet traffic have shown that a very small percentage of flows consume most of the network bandwidth. It is important to understand the characteristics of such flows for traffic monitoring and modeling purposes. Several prior researchers have characterized such flows using different classification schemes: by size as elephant and mice; by duration as tortoise and dragonfly; and by burstiness as alpha and beta traffic. However, it is not clear how these different definitions of flows are related to each other. In this work, using data recorded from two different operational networks, we study these "heavy-hitter" flows in four different dimensions, namely size, duration, rate and burstiness, and examine how they are correlated. This paper makes three contributions: first, we systematically characterize prior definitions for the properties of such heavy-hitter traffic. Second, based on our datasets, we observe that there are strong correlations between some combinations of size, rate and burstiness. Finally, we provide a plausible explanation for the observed correlations. We show that these correlations could be explained by transport and application-level protocol mechanisms.

原文English
頁(從 - 到)46-62
頁數17
期刊Computer Networks
50
發行號1
DOIs
出版狀態Published - 2006 一月 16

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信

指紋

深入研究「A measurement study of correlations of Internet flow characteristics」主題。共同形成了獨特的指紋。

引用此