Green simulation with database monte carlo

Mingbin Feng, Jeremy Staum

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

We develop a green simulation procedure that reuses simulation outputs of the current experiment to improve the computational efficiency of future experiments. We consider practical situations where idle computational resource is available after delivering a simulation answer within given time limit. When used correctly, such idle resource can be valuable simulation investment that can benefit future experiments. In repeated simulations when the same simulation model is run with different inputs at different times, our green simulation procedure repeatedly invests idle computations into databases, which are then used to improve the accuracy of future experiments. Our numerical results show that, as more and more outputs are reused, our proposed estimator has improving accuracy within fixed time limit.

Original languageEnglish (US)
Title of host publication2016 Winter Simulation Conference
Subtitle of host publicationSimulating Complex Service Systems, WSC 2016
EditorsTheresa M. Roeder, Peter I. Frazier, Robert Szechtman, Enlu Zhou
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1108-1118
Number of pages11
ISBN (Electronic)9781509044863
DOIs
StatePublished - Jul 2 2016
Event2016 Winter Simulation Conference, WSC 2016 - Arlington, United States
Duration: Dec 11 2016Dec 14 2016

Publication series

NameProceedings - Winter Simulation Conference
Volume0
ISSN (Print)0891-7736

Other

Other2016 Winter Simulation Conference, WSC 2016
CountryUnited States
CityArlington
Period12/11/1612/14/16

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

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