Abstract : This paper describes statistical analysis of web data traffic to identify the probability distribution best fitting the connection arrivals and to evaluate whether data traffic traces follow heavy-tail distributions – an indication of fractal behaviour, which is in contrast to conventional data traffic.Modelling of the fractal nature of web data traffic is used to specify classes of fractal computing methods which are capable of accurately describing the burstiness behaviour of the measured data, thereby establishing web data traffic patterns.
https://hal.inria.fr/hal-01571369
Contributeur : Hal Ifip
<>
Soumis le : mercredi 2 août 2017 - 11:41:56
Dernière modification le : vendredi 1 décembre 2017 - 01:16:23
Shanyu Tang, Hassan Kazemian. Simulation of Web Data Traffic Patterns Using Fractal Statistical Modelling. Lazaros Iliadis; Chrisina Jayne. 12th Engineering Applications of Neural Networks (EANN 2011) and 7th Artificial Intelligence Applications and Innovations (AIAI), Sep 2011, Corfu, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-363 (Part I), pp.422-432, 2011, Engineering Applications of Neural Networks. 〈10.1007/978-3-642-23957-1_47〉. 〈hal-01571369〉
