Results 1 to 10 of about 114,641 (246)
A simplified multifractal model for self-similar traffic flows in high-speed computer networks [PDF]
Computación y Sistemas, 2021 This paper proposes a 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 +2 more
+15 more sources
Traffic Flows Analysis in High-Speed Computer Networks Using Time Series [PDF]
, 2021 This article explores the required amount of time series points from a high-speed traffic network to accurately estimate the Hurst exponent. The methodology consists in designing an experiment using estimators that are applied to time series, followed by addressing the minimum amount of points required to obtain accurate estimates of the Hurst exponent
Ginno Millan +2 more
+9 more sources
The Associative Multifractal Process: A Novel Model for Computer Network Traffic Flows [PDF]
, 2021 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 ...
Román Osorio-Comparán +2 more
+8 more sources
Filtering Automated Polling Traffic in Computer Network Flow Data [PDF]
2014 IEEE Joint Intelligence and Security Informatics Conference, 2014 Detecting polling behaviour in a computer network has two important applications. First, the polling can be indicative of malware beaconing, where an undetected software virus sends regular communications to a controller. Second, the cause of the polling may not be malicious, since it may correspond to regular automated update requests permitted by the
Heard, Nicholas A +2 more
openaire +4 more sources
A simplified multifractal model for self-similar traffic flows in high-speed computer networks revisited [PDF]
, 2021 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-order stationary series that represent the self-similar traffic flows in high-speed computer networks, its formulation is perfected to ...
Millán, Ginno, Lefranc, Gastón
+6 more sources
Nature inspired artificial intelligence based adaptive traffic flow distribution in computer network [PDF]
, 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
Manoj Kumar Singh
+6 more sources
On the LRD of the Aggregated Traffic Flows in High-Speed Computer Networks [PDF]
, 2021 This paper studies and analyses the behavior of the Long-Range Dependence in network traffic after classifying traffic flows 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 ...
Ginno Millán
openaire +3 more sources
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 ...
Ginno Millán
+4 more sources
A Novel Traffic Scheduling Algorithm for Multi-CQF Using Mixed Integer Programming and Variable Neighborhood Search Genetic Algorithm in Time-Sensitive Networking [PDF]
SensorsTime-Sensitive Networking (TSN) is an advance Ethernet paradigm designed to provide low delay, low jitter, and deterministic transmission time. The Cycling Queuing and Forwarding (CQF) mechanism is introduced in TSN as a scheduler to achieve precise ...
Cheng Wang +4 more
doaj +2 more sources
Flow Analysis of Gigabit Computer Network traffic at Wirespeed using Monosek
, 2021 Abstract—Flow Analysis, instead of just packet analysis has become a critical requirement in current scenario of connected world. But with gigabit networks being a reality, software solutions at identifying of flows that each network packet belongs to, can be time and resource consuming, thereby defeating the very purpose of flow detection requirement.
Dr. Yamuna Devi C., R. +1 more
openaire +2 more sources