The implementation of a real-world system is a time consuming and costly working process. Still, after implementing such a complex system, it might not provide the expected behavior or performance at last. This can result in wastage of resources and huge financial downturns for any institution. For this reason, these systems have to be realized with a low probability of risk. Therefore, before the real implementation, there should be ways to estimate the risks of behavior and performance of such systems. To fill this gap, imitation of complex systems can be modeled in simulations and also analyzed with respect to the focused requirements. Understanding the requirements and the objectives are the key elements of designing a simulation model. A model cannot be more accurate than the understanding of the corresponding real-world system. Many approaches such as simulation and analytical considerations are introduced to cater for such real-world scenarios. The analytical approaches are more theoretical and use mathematical modeling. They are efficient in analyzing simplified models.


Transmission Control Protocol Congestion Control Transport Network Digital Subscriber Line Radio Link Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Vieweg + Teubner Verlag | Springer Fachmedien Wiesbaden GmbH 2012

Authors and Affiliations

  • Thushara Weerawardane

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