Email Message Interarrival Time Analysis

Walters, Lourens O and Kritzinger, Pieter S (2002) Email Message Interarrival Time Analysis, Department of Computer Science, University of Cape Town.

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The arrival pattern of email messages at an email server shows daily and weekly arrival patterns. The interarrival distribution is skewed to the right and has a large variance which suggests heavy-tailed behaviour. Further analysis shows that although the data is severely skewed the tail of the distribution does not follow a power rate and is therefore not heavy-tailed.

Item Type: Technical report
Uncontrolled Keywords: SMTP, traffic trace, heavy tail, scaling method
Subjects: Computing methodologies > Modeling and simulation
Computer systems organization > Architectures > Distributed architectures
Mathematics of computing > Probability and statistics
Date Deposited: 25 Mar 2004
Last Modified: 10 Oct 2019 15:36

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