The Associative Multifractal Process: A Novel Model for Computer Network Traffic Flows

TL;DR

This paper introduces a new mathematical model based on multifractal formalism to accurately characterize localized fluctuations in high-speed computer network traffic flows, focusing on their self-similarity and roughness.

Contribution

It presents a novel multifractal-based model specifically designed for analyzing traffic flow fluctuations in modern high-speed networks.

Findings

Effective characterization of traffic flow fluctuations

Model captures self-similarity and impulsivity

Improves understanding of network traffic dynamics

Abstract

A novel constructive mathematical model based on the multifractal formalism in order to accurately characterizing the localized fluctuations present in the course of traffic flows today high-speed computer networks is presented. The proposed model has the target to analyze self-similar second-order time series representative of traffic flows in terms of their roughness and impulsivity.