Network Self-Similar Traffic Generator with Variable Hurst Parameter

2020 ◽  
Author(s):  
Adrian SAVU-JIVANOV ◽  
Alexandru ISAR ◽  
Cristina STOLOJESCU-CRISAN ◽  
Janos GAL
Keyword(s):  
Hurst Parameter ◽  
Traffic Generator ◽  
Self Similar ◽  
Variable Hurst Parameter

scholarly journals Proposal of an estimator of the Hurst parameter for a self-similar process representative of the degree of randomness of the recorded traffic in IEEE 802.3-2005 networks

2021 ◽  
Author(s):  
Ginno Millán
Keyword(s):  
Computer Networks ◽  
Memory Structure ◽  
Similar Process ◽  
Hurst Parameter ◽  
Long Term Memory ◽  
Term Memory ◽  
Traffic Stream ◽  
Self Similar

An hypothesis for the existence of a process with long term memory structure, that represents the independence between the degree of randomness of the traffic generated by the sources and the pattern of traffic stream exhibited by the network is presented, discussed and developed. This methodology is offered as a new and alternative way of approaching the estimation of performance and the design of computer networks ruled by the standard IEEE 802.3-2005.

Analysis and Modeling of QoS Parameters in VoIP Traffic

2011 ◽  
pp. 1-22
Author(s):  
Homero Toral-Cruz ◽  
Deni Torres-Román ◽  
Leopoldo Estrada-Vargas
Keyword(s):  
Markov Chains ◽  
Packet Loss ◽  
Transition Probabilities ◽  
Haar Wavelet ◽  
Ip Networks ◽  
Packet Loss Rate ◽  
The Other ◽  
Hurst Parameter ◽  
Qos Parameters ◽  
Self Similar

Our studies have revealed that VoIP jitter can be modeled by self-similar processes, and through a decomposition based on Haar wavelet it is shown a possible reason of the presence of long range dependence (LRD) in VoIP jitter. On the other hand, we used a description of VoIP packet loss based on microscopic and macroscopic packet loss behaviors, where these behaviors can be modeled by 2-state and 4-state Markov chains, respectively. Besides, the distributions of the number of consecutive received and lost packets (namely gap and burst, respectively) are modeled from the transition probabilities of 2-state and 4-state Markov chains. Based on the above mentioned description, we presented a methodology for simulating packet loss and proposed a new model that allows to relate the Hurst parameter (H) with the packet loss rate (PLR). These models can be used by other researchers as input to problems related to the design of VoIP applications, performance evaluation of IP networks, and the implementation of QoS mechanisms on convergent networks.

scholarly journals A Fractal Analysis of a Self-similar Traffic Generator Based on a Markov Chain

2019 ◽  
pp. 161-172
Author(s):  
Hanna Drieieva ◽  
◽  
Oleksii Smirnov ◽  
Oleksandr Drieiev ◽  
Tetiana Smirnova ◽  
...  
Keyword(s):  
Markov Chain ◽  
Fractal Analysis ◽  
Traffic Generator ◽  
Self Similar
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