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    Item type:Publication,
    Teaching Modelling and Analysis of Communication Networks using OMNeT++ Simulator
    At the Hamburg University of Technology, Germany, the modelling of communication networks using the OMNeT++ simulator and the INET framework is taught for Master students. Teaching the concepts of simulation and modelling while letting the students obtain a hands-on experience during a 14-week (4h/week) period (single semester) is a challenging task. The diversity of the pre-knowledge of the participating students and the duration of the course are the main challenges that need to be addressed when organising such a course. This paper discusses the structure of this course and the best practices followed. The course adopts a methodology where lectures on concepts are mixed with INET based exercises that begin with simple topics and gradually moving into advanced topics.
    Publicationtype: Conference Paper
      478
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    Item type:Publication, Access status: with files ,
    Rare event analysis using the Limited Relative Error algorithm for OMNeT++ simulations
    The Limited Relative Error algorithm is an alternative statistical method for data evaluation. Through online result analysis it continuously requests more samples until it deems the evaluation confident enough. With this it allows researchers to hand over the control of simulation time to the algorithm, and through a-priori configuration the target result resolution is set so that arbitrarily rare events can be investigated. We provide a new description of the method as well as a stand-alone implementation and an integration of the algorithm into the OMNeT++ simulator.
    Publicationtype: Conference Paper
      338  503