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

Autor:	Lindner, Sebastian, Elsner, Raphael, Tran, Phuong Nga, Timm-Giel, Andreas
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	Ingenieurwissenschaften Computer science Approximation error Ingenieurwissenschaften [620] Technik ddc:620 Event analysis Algorithm ddc:600 Technik [600]
Zdroj:	International OMNeT++ Community Summit (2018) OMNeT
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0df1d0215a8106bfd5b79c6e58ab746 https://hdl.handle.net/11420/1862 Zobrazit plný text záznamu