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Title: Innovations in Simulation: Experiences with Cloud-based Simulation Experimentation
Authors: Taylor, SJE
Anagnostou, A
Abubakar, N
Kiss, T
DesLauriers, J
Terstyanszky, G
Kacsuk, P
Kovacs, J
Kite, S
Pattison, G
Petry, J
Issue Date: 13-Dec-2020
Publisher: IEEE
Citation: Taylor, S.J.E., Anagnostou, A., Abubakar, N. T., Kiss, T., Deslauriers, J., Terstyanszky, G., Kacsuk, P., Kovacs, J., Kite, S., Pattison, G. and Petry, J. (2020) 'Innovations in simulation: Experiences with Cloud-based Simulation Experimentation' (from the Winter Simulation Conference 2020, Virtual [Orlando, Florida, USA], 13 - 16 Dec 2020) Bae, K. H., Feng, B., Kim, S., Lazarova-Molnar, S., Zheng, Z., Roeder, T. and Thiesing, R. (eds.) Proceedings of the 2020 Winter Simulation Conference. Piscataway, NJ : IEEE, pp. 3164-3175. doi:10.1109/WSC40008.2020.
Abstract: The amount of simulation experimentation that can be performed in a project can be restricted by time, especially if a model takes a long time to simulate and many replications are required. Cloud Computing presents an attractive proposition to speeding up, or extending, simulation experimentation as computing resources can be hired on demand rather than having to invest in costly infrastructure. However, it is not common practice for simulation users to take advantage of this and, arguably, rather than speeding up simulation experimentation users tend to make compromises by using unnecessary model simplification techniques. This may be due to a lack of awareness of what Cloud Computing can offer. Based on several years’ experience of innovation in this area, this article presents our experiences in developing Cloud Computing applications for simulation experimentation and discusses what future innovations might be created for the widespread benefit of our simulation community.
ISBN: 978-1-7281-9499-8
ISSN: 0891-7736
Appears in Collections:Dept of Computer Science Research Papers

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