Optimal Run Length for Discrete-event Distributed Cluster-based Simulations

TitleOptimal Run Length for Discrete-event Distributed Cluster-based Simulations
Publication TypeJournal Article
Year of Publication2014
AuthorsBorges, F, Gutierrez-Milla, A, Suppi, R, Luque, E
JournalProcedia Computer Science
Volume29
Pagination73 - 83
ISSN1877-0509
KeywordsSteady state
Abstract

Abstract In scientific simulations the results generated usually come from a stochastic process. New solutions with the aim of improving these simulations have been proposed, but the problem is how to compare these solutions since the results are not deterministic. Consequently how to guarantee that the output results are statistically trusted. In this work we apply a statistical approach in order to define the transient and steady state in discrete event distributed simulation. We used linear regression and batch method to find the optimal simulation size. As contributions of our work we can enumerate: we have applied and adapted the simple statistical approach in order to define the optimal simulation length; we propose the approximate approach to normal distribution instead of generate replications sufficiently large; and the method can be used in other kind of non-terminating science simulations where the data either have a normal distribution or can be approximated by a normal distribution.

URLhttp://www.sciencedirect.com/science/article/pii/S1877050914001847
DOI10.1016/j.procs.2014.05.007
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