An empirical investigation of Web session workloads: Can self-similarity be explained by deterministic chaos?
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.
session workload web traffic traffic modeling chaos theory nonlinear time series analysis