In the recent computing systems, programming can be minimized, or can be replaced, by an icon on a computer monitor. We can even notice success in modern science and technology for implementing these powerful tools for telecommunication networks. But most of the researchers have an opinion that we cannot depend on of published results of telecommunication networks based on stochastic simulation as they lack credibility.
Our project focuses on two necessary conditions of a credible simulation study: usage of appropriate pseudo-random generators for independent uniformly distributed numbers, and usage of appropriate analysis of simulation output data.
The first step of any performance evaluation studies is to use a valid simulation model. Such that in case of communication networks assumptions should focus on network’s internal mechanisms its limitations, and characteristics processes and secondly the valid simulation model should be used in valid simulation experiment. At this stage we can face issues on Application of elementary source of randomness and appropriate analysis of simulation output data.
Our research publications of telecommunication network suggests that majority of published results of simulation studies do not satisfy the basic criteria of credibility. This can be overcome when scientists or engineers study performance of networks by accepting fuller responsibility for credibility of their results. When we consider telecommunication networks it requires a long run in order to obtain results at desired level of precision and excessive run-time effects development and validation of simulation model which is again a challenging task.