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Statistical framework for ns-3: terminating simulation and regression analysis
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2014 (English)In: World Journal on Modeling and Simulation, ISSN 1746-7233, Vol. 10, no 2, 116-125 p.Article in journal (Refereed) Published
Abstract [en]

The ns-3 simulator is constantly gaining popularity. It plays a central role in many recent research experiments. The accuracy of the reported simulation results of these experiments is an important concern. Thus, the support in ns-3 for simulation methodologies which guarantee the accuracy of these results is a necessity. Also, the simulation results are affected by numerous scenario parameters. The correlation between the results and the simulation parameters is a significant point of interest in many experiments. In this paper, we present a ns-3 statistical framework. It enables calculation of statistically accurate simulation results by applying the terminating simulation methodology. It features simultaneous execution of simulation scenarios in multi-processor and distributed environments. Also, we integrate support for regression analysis procedures. The proposed framework supports linear and polynomial regression analysis models.We consider simulation results as dependent variables and simulation parameters as independent variables. Regression analysis enables identification of simulation scenario parameters which are significantly correlated to given simulation results. Once a valid regression model is found, it is possible to estimatively predict metric values based on simulation parameter values. This may result in substantially reduced time and effort spent on simulation experimentation.

Place, publisher, year, edition, pages
2014. Vol. 10, no 2, 116-125 p.
Keyword [en]
Simulation tool, simulation methodology, terminating simulation, regression analysis
National Category
Information Systems
Research subject
Computer and Systems Sciences
URN: urn:nbn:se:su:diva-97749OAI: diva2:679979
Available from: 2013-12-17 Created: 2013-12-17 Last updated: 2014-05-09Bibliographically approved

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Popov, Oliver
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