Distributed computing and modeling & simulation: speeding up simulations and creating large models

Authors:
Simon J. E. Taylor;Mohammadmersad Ghorbani;Navonil Mustafee;Stephen J. Turner;Tamas Kiss;Daniel Farkas;Shane Kite;Steffen Straßburger
Affiliations:
Brunel University, Uxbridge, UK;Brunel University, Uxbridge, UK;Swansea University, Swansea, Wales, UK;Nanyang Technological University, Singapore;University of Westminster, London, UK;University of Westminster, London, UK;Saker Solutions, Upper Courtyard, Alcester, UK;Ilmenau University of Technology, Ilmenau, Germany
Venue:
Proceedings of the Winter Simulation Conference
Year:
2011

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Abstract

Distributed computing has many opportunities for Modeling and Simulation (M&S). Grid computing approaches have been developed that can use multiple computers to reduce the processing time of an application. In terms of M&S this means simulations can be run very quickly by distributing individual runs over locally or remotely available computing resources. Distributed simulation techniques allow us to link together models over a network enabling the creation of large models and/or models that could not be developed due to data sharing or model reuse problems. Using real-world examples, this advanced tutorial discusses how both approaches can be used to benefit M&S researchers and practitioners alike.