The traffic modeling

Published: Last Edited:

This essay has been submitted by a student. This is not an example of the work written by our professional essay writers.

1. What is traffic modeling, why it is important

The traffic modeling can be defined as the technique which suggests modeling traffic flows using the travel time. The communication as of date is complex network of different technologies like satellite, fiber, radio frequency (RF), microwave, twisted pair, and coax. One of these networks which offers broadband services to his clients, is the Hybrid Fiber/Coax (HFC) network. Broadband access technologies such as Hybrid Fiber/Coax (HFC) networks is fast and cost effective to number of applications including Video on demand (VoD) and internet-type applications such as Web browsing, ftp, email, and telephony. Most of these applications require 'Quality of Service' (QoS), which can only be possible if there are sufficient network resources. Traffic engineering uses statistical techniques such as queuing theory to engineer and predict the behavior of these telecommunication services. New approaches use different models for various types of data traffic in communication networks.

Statistical methods are used for measuring the quality. These statistics are important for evaluating performance of a network ensuring quality of service. Modelling concept is very important for understanding and solving performance related problems in future Internet Protocol (IP) networks. As of date to reduce the network complexity, the intelligence in the network is purposely mostly located in the end nodes of each data transmission. Routers in the transmission path simply forward packets to next known local gateway matching the routing prefix for the destination address. The most important factor of traffic modeling is to construct models which have the quality ability to capture most important statistical properties of the underlines measured data. Each statistical measure has characteristic distribution and to find such characteristic distribution for a specific statistical measure different methods including probability density function are used. In short the flow of net work is most important for any function which depends upon the traffic model used.


The need of traffic modeling is to ensure quality network. In case of VoIP (Voice over Internet Protocol) which is simply the transmission of voice traffic over IP-based networks the traffic modeling is important. The aggregation of flows are modelled on statistical tele traffic data which is transferred from a circuit switched to a packet switched network. To get a realistic traffic flow on the link, the flow aggregation must be modelled due to the Service Level Agreement (SLA) between the consumer and the Internet Service Provider (ISP). The changeover from circuit switched to packet switched networks is in use. Many providers are at an early state of integration of real time traffic into their backbones. To control congestion traffic engineering is most important task.

One of the best uses of using computers to simulate is in the field of network traffic simulation. In such simulations, the model behaviour will change each simulation according to the set of initial parameters assumed for the environment. Sending X ray images is also simulation process. E-health services are totally dependent upon the transmission of information generated by applications (codecs, transmission rate and compression levels, etc.) to adapt it to network resources (capacity, available bandwidth, performance, etc.). This concept would permit to improve the Quality of Service (QoS) of e-Health communications. The traffic modelling plays an important part in e health services.


Traffic modelling can be done by simulation method. Network traffic simulation consists of the four major steps: modelling the system as a dynamic random process (taking into consideration theory of probability), Generation and realization of the random process,  measurement of the simulations data and analysis of the output data.

Statistically robust traffic modeling method used in US is a method for using a statistically robust traffic model to control access of communication units to communication channels in a communication system comprising of few steps which include monitoring specific elemental areas on which communication units emanate signals, the traffic data is collected from the specific areas selected; building a statistically robust traffic model from the traffic data within the set of elemental areas by combining the traffic data and then determining channel allocations based on the statistically robust traffic model. The method of deriving the traffic model from the business process is also used. This process is executing the net work simulations which use the constructed net work model.

Network traffic modelling is fundamental problem in network performance evaluation. There is need for further research in alternate methods with quality service. Recently there has been study on trace based modelling and compressed video model.



Traffic Modeling


Modeling approach for VOIP