TY - GEN
T1 - Distributed simulation execution on a high-performance cluster using heuristiclab hive
AU - Karder, Johannes
AU - Beham, Andreas
AU - Wagner, Stefan
AU - Affenzeller, Michael
N1 - Publisher Copyright:
© Institute of Information Science. All rights reserved.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Distributed simulation execution
KW - HeuristicLab
KW - High-performance cluster
KW - Software architecture
UR - http://www.scopus.com/inward/record.url?scp=85056714351&partnerID=8YFLogxK
M3 - Conference contribution
SN - 978-88-85741-03-4
T3 - 30th European Modeling and Simulation Symposium, EMSS 2018
SP - 107
EP - 114
BT - 30th European Modeling and Simulation Symposium, EMSS 2018
A2 - Merkuryev, Yuri
A2 - Piera, Miquel Angel
A2 - Longo, Francesco
A2 - Bruzzone, Agostino G.
A2 - Affenzeller, Michael
A2 - Jimenez, Emilio
PB - DIME UNIVERSITY OF GENOA
T2 - 30th European Modeling and Simulation Symposium, EMSS 2018
Y2 - 17 September 2018 through 19 September 2018
ER -