Paper Info
Title
Characterization Of Large-Scale Smtp Traffic: The Coexistence Of The Poisson Process And Self-Similarity
Abstract
Network traffic such as Ethernet, Internet, World Wide Web, and TCP/UDP protocols has been extensively studied, with efforts focusing on the Poisson process and self-similarity. However, although SMTP (Simple Mail Transfer Protocol) occupies a significant portion of Internet traffic, it has attracted little attention. This paper shows that large-scale SMTP traffic possesses both the characteristics of the Poisson process and self-similarity through an analysis Of high quality SMTP traces collected from one of the largest Web portal sites in South Korea over a period of almost nine months.First, we show that, at small (several-second) time scales, interarrival times of SMTP session arrivals are exponentially distributed and independent of each other, which makes it possible to model SMTP session arrivals as a Poisson process. On the contrary, at large (several-month) lime scales, SMTP session arrivals exhibit self-similarity They are strongly autocorrelated across lime scales of days and their Hurst parameters are estimated to be somewhere between 0.85 to 0.97. In addition, we find that SMTP traffic consists of many individual ON/OFF sources whose distributions of OFF-period lengths are heavy-tailed, which confirms self-similarity of SMTP traffic.
Year
DOI
Venue
2008
10.1109/MASCOT.2008.4770573
2008 IEEE INTERNATIONAL SYMPOSIUM ON MODELING, ANALYSIS & SIMULATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS (MASCOTS)
Keywords
Field
DocType
internet,stochastic processes,exponential distribution,heavy tail,poisson process,hurst parameter,internet traffic,servers,world wide web,protocols,correlation,self similarity
Computer science,Hurst exponent,Simple Mail Transfer Protocol,Server,Computer network,Ethernet,Exponential distribution,Self-similarity,Internet traffic,Distributed computing,The Internet
Conference
ISSN
Citations 
PageRank 
1526-7539
1
0.35
References 
Authors
13
2
Name
Order
Citations
PageRank
Youngjae Lee1334.46
Jin-Soo Kim21806122.94