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Simulating Stochastic Processes with OMNeT++

Jan Kriege, Peter Buchholz

Proc. of the 4th International OMNeT++ Workshop (OMNeT++ 2011), Barcelona, 2011.

 

Abstract

Modeling of correlated traffic processes is a challenge in simulation modeling but is necessary to obtain realistic simulation models of many computer or communication networks. We present a new simple module denoted as ArrivalProcess to be included as a traffic source in OMNeT++ simulation models. The new traffic source supports different stochastic process models which are defined using a XML format. The process descriptions can be automatically generated from trace data using the software tool ProFiDo which is also briefly presented. By means of examples it is shown that the use of stochastic processes rather than simple distributions results in much more accurate results for systems with correlated arrival streams.

 

Keywords
Markovian Arrival Processes, ARMA Processes, ARTA Processes, Input Modeling

 

BibTeX
@inproceedings{KBu11, 
	 author = {Jan Kriege and Peter Buchholz}, 
	 title = {{Simulating Stochastic Processes with OMNeT++}}, 
	 booktitle = {Proceedings of the 4th International OMNeT++ Workshop (OMNeT++ 2011)}, 
	 year = {2011}, 
	 publisher = {ICST}, 
	 doi = {10.4108/icst.simutools.2011.245512}, 
	 url = {http://doi.acm.org/10.1145/2151054.2151119} 
 }

 

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