A fluid flow model for the software defined wide area networks analysis
Scientific ReportsThe advancement of IT systems necessitates efficient communication methods essential across various sectors, from streaming platforms to cloud-based solutions and Industry 4.0 applications.
Karol Marszałek, Adam Domański
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A Fast Multifractal Model for Self-Similar Traffic Flows in High-Speed Computer Networks
Procedia Computer Science, 2013 AbstractThis paper proposes a new multifractal model, with the aim of providing a possible explanation for the locality phenomenon that appears in the estimation of the Hurst exponent in stationary second order temporal series representing self-similar traffic flows in current high-speed computer networks.
Ginno Millán, Gastón Lefranc
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A Simple Chaotic Map Model for Fractal Traffic Flows in High-speed Computer Networks [PDF]
, 2021 An extension of the models used to generate fractal traffic flows is presented by means of the formulation of a model that considers the use of one-dimensional chaotic maps. Based on the disaggregation of the temporal series generated by the model, a valid explanation of behavior of the values of Hurst exponent is proposed and the feasibility of their ...
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On the LRD of the aggregated traffic flows in high-speed computer networks (Draft 1)
, 2021 This paper studies and analyses the behavior of the Long-Range Dependence in network traffic after classifying trafficflows in aggregated time series. Following Differentiated Services architecture principles, the generic Quality of Service applications that requirements and use the transport control protocol, a basic classification criterion of time ...
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A generalized multifractal model for self-similar traffic flows in high-speed computer networks
, 2021 This paper proposes a new multifractal model with the aim to provide a possible explanation for the locality phenomena to appear in the estimation of the Hurst exponent in stationary second order temporal series, representing the self-similar traffic flows in high-speed computer networks.
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Discrete adjoint gradient computation for multiclass traffic flow models on road networks
This paper applies a discrete adjoint gradient computation method to a multi-class traffic flow model on road networks, where vehicle classes are characterized by their speed functions. The resulting hyperbolic system of conservation laws is discretized using a Godunov-type finite volume scheme based on demand and supply functions, which extends to ...
Goatin, Paola +2 more
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Nature inspired artificial intelligence based adaptive traffic flow distribution in computer network
CoRR, 2010 Because of the stochastic nature of traffic requirement matrix, it is very difficult to get the optimal traffic distribution to minimize the delay even with adaptive routing protocol in a fixed connection network where capacity already defined for each link. Hence there is a requirement to define such a method, which could generate the optimal solution
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Analysis of the compliance of traffic generated by modeling of applications flow with real traffic in computer networks [PDF]
Izvestiâ vysših učebnyh zavedenij. Priborostroenie, 2017 M.A. Farashiani +1 more
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The Research of Traffic Flow Assignment Model based on the Network Calculus of Computer Network
Information Technology Journal, 2012 Yali Peng +3 more
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Intelligent DDoS Attack Detection in Software-Defined Networks Using Explainable Machine Learning. [PDF]
Sensors (Basel)Malik JA, Naz NS, Saleem M, Khan MA.
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