Multiservice IP Network QoS Parameters Estimation in Presence of Self-similar Traffic

2006 ◽  
pp. 235-245 ◽  
Author(s):  
Anatoly M. Galkin ◽  
Olga A. Simonina ◽  
Gennady G. Yanovsky
Keyword(s):  
Parameters Estimation ◽  
Ip Network ◽  
Qos Parameters ◽  
Self Similar

Comparison of QoS Performance Over WLAN, VoIP4 and VoIP6

2015 ◽  
Vol 2 (11) ◽  
pp. 42
Author(s):  
Esra Musbah Mohammed Musbah ◽  
Khalid Hamed Bilal ◽  
Amin Babiker A. Nabi Mustafa
Keyword(s):  
Performance Analysis ◽  
Internet Protocol ◽  
Voice Over Internet Protocol ◽  
Ip Network ◽  
Qos Parameters ◽  
Software Program ◽  
Jitter Delay ◽  
Qos Performance ◽  
Delay Variation ◽  
A Performance

VoIP stands for voice over internet protocol. It is one of the most widely used technologies. It enables users to send and transmit media over IP network. The transition from IPv4 to IPv6 provides many benefits for internet IPv6 is more efficient than IPv4. This paper presents a performance analysis of VoIP over WLAN using IPv4 and IPv6 and OPNET software program to simulate the protocols and to investigate the QoS parameters such as jitter, delay variation, packet send, and packet received and throughputs for IP4 and IP6 and compare between them.

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 Advanced Models and Algorithms for Self-Similar IP Network Traffic Simulation and Performance Analysis

2010 ◽  
Vol 61 (6) ◽  
pp. 341-349 ◽  
Author(s):  
Dimitar Radev ◽  
Izabella Lokshina
Keyword(s):  
Performance Analysis ◽  
Network Traffic ◽  
Traffic Simulation ◽  
Traffic Data ◽  
Fractal Models ◽  
Wide Range ◽  
Ip Network ◽  
Self Similar ◽  
Markov Modulated ◽  
And Performance

Advanced Models and Algorithms for Self-Similar IP Network Traffic Simulation and Performance Analysis The paper examines self-similar (or fractal) properties of real communication network traffic data over a wide range of time scales. These self-similar properties are very different from the properties of traditional models based on Poisson and Markov-modulated Poisson processes. Advanced fractal models of sequentional generators and fixed-length sequence generators, and efficient algorithms that are used to simulate self-similar behavior of IP network traffic data are developed and applied. Numerical examples are provided; and simulation results are obtained and analyzed.

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