Development of Multifractal Models for Self-Similar Traffic Flows
This letter presents a simple technique of multifractal traffic modeling. It proposes a method of fitting model to a given traffic trace. A comparison of simulation results obtained for an exemplary trace, multifractal model and Markov Modulated Poisson Process models has been performed.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Development of Multifractal Models for Self-Similar Traffic Flows
This paper presents a simple technique of multifractal traffic modeling. It proposes a method of fitting model to a given traffic trace. A comparison of simulation results obtained for an exemplary trace, multifractal mo…
A Simplified Multifractal Model for Self-Similar Traffic Flows in High-Speed Computer Networks Revisited
In the context of the simulations carried out using a simplified multifractal model that is proposed to give an explanation to the locality phenomenon that appears in the estimation of the Hurst exponent in the second-or…
A Simplified Multifractal Model for Self-Similar Traffic Flows in High-Speed Computer Networks Revisited
In the context of the simulations carried out using a simplified multifractal model that is proposed to give an explanation to the locality phenomenon that appears in the estimation of the Hurst exponent in the second-or…
Fractal Time Series Analysis of Social Network Activities
In the work, a comparative correlation and fractal analysis of time series of Bitcoin crypto currency rate and community activities in social networks associated with Bitcoin was conducted. A significant correlation betw…
Time SeriesTime Series AnalysisEstimación del Exponente de Hurst en Flujos de Tráfico Autosimilares
In this paper it presents, develops and discusses the existence of a process with long scope memory structure, representing of the independence between the degree of randomness of the traffic generated by the sources and…
Time SeriesTime Series Analysis