Distributed simulation execution on a high-performance cluster using heuristiclab hive

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

Abstract

This paper presents a generic way of distributing simulation executions. The proposed method can be applied on high performance clusters in order to execute many simulation runs simultaneously and gather respective results. These results can then be collected into datasets, which one can use for data analysis and examination of different properties of the implemented simulation model and the underlying simulated process, e.g. production plants or logistics systems. The approach is showcased using a concrete simulation of a production process controlled by different disposition parameters. After executing 30 000 simulation runs, we are able to create respective datasets in order to further analyse the properties of the production process and build surrogate models of the simulation model, which in turn can be used in surrogate-assisted parameter optimization.

OriginalspracheEnglisch
Titel30th European Modeling and Simulation Symposium, EMSS 2018
Redakteure/-innenYuri Merkuryev, Miquel Angel Piera, Francesco Longo, Agostino G. Bruzzone, Michael Affenzeller, Emilio Jimenez
Herausgeber (Verlag)DIME UNIVERSITY OF GENOA
Seiten107-114
Seitenumfang8
ISBN (elektronisch)9788885741065
ISBN (Print)978-88-85741-03-4
PublikationsstatusVeröffentlicht - 2018
Veranstaltung30th European Modeling and Simulation Symposium, EMSS 2018 - Budapest, Ungarn
Dauer: 17 Sep 201819 Sep 2018

Publikationsreihe

Name30th European Modeling and Simulation Symposium, EMSS 2018

Konferenz

Konferenz30th European Modeling and Simulation Symposium, EMSS 2018
Land/GebietUngarn
OrtBudapest
Zeitraum17.09.201819.09.2018

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