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  4. Rare event analysis using the Limited Relative Error algorithm for OMNeT++ simulations
 
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Rare event analysis using the Limited Relative Error algorithm for OMNeT++ simulations

Citation Link: https://doi.org/10.15480/882.1859
Publikationstyp
Conference Paper
Date Issued
2018-10-23
Sprache
English
Author(s)
Lindner, Sebastian 
Elsner, Raphael  orcid-logo
Tran, Phuong Nga  
Timm-Giel, Andreas  orcid-logo
Institut
Kommunikationsnetze E-4  
TORE-DOI
10.15480/882.1859
TORE-URI
http://hdl.handle.net/11420/1862
First published in
EPiC series in computing  
Number in series
56
Start Page
93
End Page
101
Citation
International OMNeT++ Community Summit (2018)
Contribution to Conference
: Anna Förster, Asanga Udugama, Antonio Virdis and Giovanni Nardini (editors). Proceedings of the 5th International OMNeT++ Community Summit. EPiC series in computing, vol 56, pages 93--101  
Publisher DOI
10.29007/ch8v
Publisher
EasyChair
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.
DDC Class
600: Technik
620: Ingenieurwissenschaften
Publication version
acceptedVersion
Lizenz
http://rightsstatements.org/vocab/InC/1.0/
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