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

9 pages•Published: October 23, 2018

Sebastian Lindner, Raphael Elsner, Phuong Nga Tran and Andreas Timm-Giel

Abstract

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.

Keyphrases: rare event, simulation result analysis, statistical evaluation

In: Anna Förster, Asanga Udugama, Antonio Virdis and Giovanni Nardini (editors). Proceedings of the 5th International OMNeT++ Community Summit, vol 56, pages 93-101.

Links:	https://easychair.org/publications/paper/4M54
	https://doi.org/10.29007/ch8v

BibTeX entry

@inproceedings{OMNeT2018:Rare_event_analysis_using,
  author    = {Sebastian Lindner and Raphael Elsner and Phuong Nga Tran and Andreas Timm-Giel},
  title     = {Rare event analysis using the Limited Relative Error algorithm for OMNeT++ simulations},
  booktitle = {Proceedings of the 5th International OMNeT++ Community Summit},
  editor    = {Anna Förster and Asanga Udugama and Antonio Virdis and Giovanni Nardini},
  series    = {EPiC Series in Computing},
  volume    = {56},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/4M54},
  doi       = {10.29007/ch8v},
  pages     = {93-101},
  year      = {2018}}

Download PDF Open PDF in browser