An empirical investigation of Web session workloads: Can self-similarity be explained by deterministic chaos?

作者：

Highlights：

• We investigate the models used in Web traffic generators.

• We examine deterministic chaos as an alternative explanation of self-similarity.

• Deterministic components are found to be significant in Web session data.

• Deterministic and stochastic predictive models of the data are equally accurate.

摘要

•We investigate the models used in Web traffic generators.•We examine deterministic chaos as an alternative explanation of self-similarity.•Deterministic components are found to be significant in Web session data.•Deterministic and stochastic predictive models of the data are equally accurate.

论文关键词：Web traffic,Session workload,Traffic modeling,Chaos theory,Nonlinear time series analysis

论文评审过程：Received 13 June 2011, Revised 5 April 2013, Accepted 12 July 2013, Available online 14 August 2013.

论文官网地址：https://doi.org/10.1016/j.ipm.2013.07.004