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Everything about Network Traffic Simulation totally explained

Network traffic simulation is a process used in telecommunications engineering to measure the efficiency of a communications network.

Overview

Telecommunications systems are complex real-world system, containing many different components which interact, in complex interrelationships. The analysis of such a system can become extremely difficult: modelling techniques tend to analyse each component rather than the relationships between components. Simulation is an approach which can be used to model large, complex stochastic systems for forecasting or performance measurement purposes. It is the most common quantitative modelling technique used.

Random numbers

As most systems involve stochastic processes, simulations frequently make use of random number generators to create input data which approximates the random nature of real-world events. Computer generated [randomnumbers] are usually not random in the strictest sense, as they're calculated using a set of equations. Such numbers are known as pseudo-random numbers. When making use of pseudo-random numbers the analyst must make certain that the true randomness of the numbers is checked. If the numbers are found not to behave in a sufficiently random fashion, another generation technique must be found. Random numbers for the simulation are created by a random number generator.

Implementation and applications of simulation

Simulations of a telecommunications system are usually implemented in a computer program. The program can be written in a simulation-specific language or in a general-purpose language . Simulation-specific languages such as OPNET or GPSS are rapid for development. However, sometimes the flexibility of a general purpose language may be preferred --- a well-known example is the ns-2 simulator ns-2 written in C++. There are many applications that can make use of simulation as an analytical tool. While simulation does require extensive resources, it's still a relatively cost-effective method of pre-testing potential systems. Simulation can also be used to confirm and verify the performance of implemented systems.

Further Information

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