WWW traffic measure and its properties

Article type: Research Article

Authors: Keogh-Brown, Marcus R.^a | Bogacka, Barbara^b

Affiliations: [a] School of Medicine Health Policy and Practice, University of East Anglia, Norwich NR4 7TJ, UK. E-mail: m.keogh-brown@uea.ac.uk | [b] School of Mathematical Sciences, Queen Mary, University of London, London, E1 4NS, UK. E-mail: b.bogacka@qmul.ac.uk

Abstract: We present a method to extract a time series (Number of Active Requests (NAR)) from web cache logs which serves as a transport level measurement of internet traffic. This series also reflects the performance or Quality of Service of a web cache. It has long-memory properties but is not self-similar and does not have a heavy-tailed distribution. However, the long-memory and autocorrelation structure of NAR are preserved through aggregation, that is the aggregated series has similar statistical properties to the original one. We call this property aggregation similarity. Aggregation similarity is a very useful property, which makes management of large data sets easier and speeds up the asymptotic properties of time series.

Keywords: Long memory process, cache log data, Number of Active Requests

DOI: 10.3233/IDA-2007-11203

Journal: Intelligent Data Analysis, vol. 11, no. 2, pp. 137-154, 2007