Simulation Modeling and Analysis
Simulation Modeling and Analysis
An integrated framework for enabling effective data collection and statistical analysis with ns-2
WNS2 '06 Proceeding from the 2006 workshop on ns-2: the IP network simulator
Design and Analysis of Experiments
Design and Analysis of Experiments
Enhancing the Credibility of Wireless Network Simulations with Experiment Automation
WIMOB '08 Proceedings of the 2008 IEEE International Conference on Wireless & Mobile Computing, Networking & Communication
On the automation of computer network simulators
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
A framework for large-scale simulations and output result analysis with ns-2
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
Modeling and control of VBR H.261 video transmission over frame relay networks
IEEE Transactions on Circuits and Systems for Video Technology
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In recent years simulation has been the most used tool for performance analysis of communication networks, due to the ever increasing complexity of modern architectures and technologies. There are two correlated problems that are typically encountered when using simulation, especially by less experienced practitioners. Often, the number of factors that affect the response of such systems is high, which makes it difficult to distinguish their relative impact on the performance. Secondly, it would be helpful to know which are the most important factors before running the actual simulation campaign, so as to reduce the number of scenarios, hence the overall computational time, which otherwise can grow unnecessarily large. Both these problems are alleviated substantially if well-established methodologies, e.g. the 2k · r factorial analysis, are employed. In this work we present a new tool that implement all the procedures for running a 2k · r factorial analysis in a simple and sound manner. The tool, called factorial2kr, has been developed within the ns2measure framework, which is an integrated module, in a mature state of development, for collecting and analyzing statistical data with the widely used network simulator ns-2. The software is released under GPL.