Modeling oscillation behavior of network traffic by nested hidden Markov model with variable state-duration
Network traffic modeling is a fundamental problem in communication. A traffic model should
be able to capture and reproduce various properties of a real trace. Despite the widespread …
be able to capture and reproduce various properties of a real trace. Despite the widespread …
Self-similarity traffic and AQM mechanism based on non-integer order controller
In this paper the performance of fractional order PID controller as AQM mechanism and
impact of traffic self-similarity on network utilization are investigated with the use of discrete …
impact of traffic self-similarity on network utilization are investigated with the use of discrete …
On stochastic models of internet traffic
The paper discusses various models of self-similar Internet traffic and techniques for
estimating the intensity of Long-Range Dependence (LRD). In the experimental part real …
estimating the intensity of Long-Range Dependence (LRD). In the experimental part real …
Estimating the intensity of long-range dependence in real and synthetic traffic traces
This paper examines various techniques for estimating the intensity of Long-Range
Dependence (LRD). Trial data sets with LRD are generated using Fractional Gaussian noise …
Dependence (LRD). Trial data sets with LRD are generated using Fractional Gaussian noise …
A few investigations of long-range dependence in network traffic
J Domańska, A Domańska, T Czachórski - Information Sciences and …, 2014 - Springer
The paper presents measurements and analysis of a LAN long-range dependence traffic
collected in IITiS PAN (The Institute of Theoretical and Applied Informatics of the Polish …
collected in IITiS PAN (The Institute of Theoretical and Applied Informatics of the Polish …
Self-similar Markovian sources
Markov queueing models are a powerful tool to evaluate the performance of computer
networks and have been used in telecommunication studies for over 100 years. To apply …
networks and have been used in telecommunication studies for over 100 years. To apply …
Modeling packet traffic with the use of superpositions of two-state MMPPs
The aim of this paper is to use the superposition of two-state Markov Modulated Poisson
Processes to replicate the statistical nature of internet traffic over several time scales. This …
Processes to replicate the statistical nature of internet traffic over several time scales. This …
Modeling multi-user behaviour in social networks
T Chis, PG Harrison - … on Modelling, Analysis & Simulation of …, 2014 - ieeexplore.ieee.org
Social networks, and the behaviour of groups of online users, are popular topics in modeling
and classifying Internet traffic data. There is a need to analyze online network performance …
and classifying Internet traffic data. There is a need to analyze online network performance …
A forward–backward algorithm for nested hidden semi-markov model and application to network traffic
Abstract Doubly hidden Markov models (DHMMs) have been widely used to analyze a type
of time process whose driving factors are hierarchical and hierarchically correlated. A …
of time process whose driving factors are hierarchical and hierarchically correlated. A …
A structural approach for modelling the hierarchical dynamic process of web workload in a large-scale campus network
A new structural approach based on hidden Markov model is proposed to describe the
hierarchical nature of dynamic process of Web workload. The proposed approach includes …
hierarchical nature of dynamic process of Web workload. The proposed approach includes …