Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.1859
Publisher DOI: 10.29007/ch8v
Title: Rare event analysis using the Limited Relative Error algorithm for OMNeT++ simulations
Language: English
Authors: Lindner, Sebastian  
Elsner, Raphael  
Tran, Phuong Nga 
Timm-Giel, Andreas  
Issue Date: 23-Oct-2018
Publisher: EasyChair
Journal or Series Name: EPiC series in computing 
Abstract (english): 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.
URI: http://hdl.handle.net/11420/1862
DOI: 10.15480/882.1859
ISSN: 2398-7340
Institute: Kommunikationsnetze E-4 
Type: InProceedings (Aufsatz / Paper einer Konferenz etc.)
Appears in Collections:Publications (tub.dok)

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