Literature Database Entry

passing2007statistische


Martin Passing, "Statistische Analyse von OMNeT++ Simulationsergebnissen," Master's Thesis, Department of Computer Science, University of Erlangen-Nuremberg, August 2007. (Advisors: Isabel Dietrich and Falko Dressler)

Abstract

Simulation techniques are frequently used to study the behaviour and performance aspects of communication networks and protocols. In many cases, the results produced by network simulation tools are stored in form of files using a tool-specific encoding. Examples are the discrete event simulation system OMNeT++ or the network simulator ns-2. Both tools store the results of a simulation run in large files that are difficult to interpret. The topic of this thesis is to develop an integrated tool for evaluation and statistical analysis of such simulation results. One of the key objectives is to assist researchers and students working with the OMNeT++ simulation framework by providing a simple and uniform approach to handle the simulation results and to produce a number of predefined charts from selected subsets of the stored data. The first step of my work was to define a standardised file format that allows uniform processing of simulation results produced by different simulation tools. Obviously, a first converter was needed for OMNeT++ specific outputs. In a second step, an evaluation tool was implemented allowing the statistical analysis of simulation results stored in the previously defined file format. This tool needed to be able to handle multiple files at a time, e.g. from different simulation runs, and to display user-selected subsets called output vectors. The generation of various charts based on one or more vectors was required. Moreover it was wanted that the created diagrams could be displayed or saved as scalable vector graphics. In a first analysis, it turned out that an XML-based format was not appropriate to handle simulation results, because it resulted in very large files due to various redundancies. For readability reasons, a binary format was excluded as well. Therefore, I defined a text-based format that represents the best possible compromise. The graphical evaluation tool was realised as a plugin for the integrated development environment Eclipse. The implementation was made using Java and the widget toolkit SWT which is bundled with Eclipse. As back-end to generate necessary graphics, I chose the open source software Gnuplot. The developed tool meets all the mentioned requirements: It is able to read multiple data files and create charts from arbitrary output vectors. Currently it supports histograms, scatterplots and boxplots. However, the implementation is structured to allow easy integration of additional types using the object oriented class inheritance. The created diagrams can be displayed within the Eclipse environment. Additionally, they can be exported as vector graphic files which are suitable for presentations and publications.

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@phdthesis{passing2007statistische,
    advisor = {Dietrich, Isabel and Dressler, Falko},
    author = {Passing, Martin},
    institution = {Department of Computer Science},
    location = {Erlangen, Germany},
    month = {8},
    school = {University of Erlangen-Nuremberg},
    title = {{Statistische Analyse von OMNeT++ Simulationsergebnissen}},
    type = {Master's Thesis},
    year = {2007},
   }
   
   

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