Taylor, Simon J.E. and Ghrobani, Mohammadmersad and Mustafee, Navonil and Turner, Stephen J. and Kiss, Tamas and Farkas, Daniel and Strasberger, Steffen and Kite, Shane (2011) Distributed computing and modelling and simulation: speeding up simulations and creating large models. In: Jain, S. and Creasey, R.R. and Himmelspach, J. and White, K.P. and Fu, M., (eds.) Proceedings of the 2011 Winter Simulation Conference. IEEE. ISBN 9781457721083
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Official URL: http://www.informs-sim.org/wsc11papers/014.pdf
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.
|Item Type:||Book Section|
|Research Community:||University of Westminster > Electronics and Computer Science, School of|
|Deposited On:||30 Apr 2012 15:50|
|Last Modified:||30 Apr 2012 15:50|
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