| Title | Innovations in Simulation: Experiences with Cloud-based Simulation Experimentation |
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| Authors | 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. |
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| Editors | Bae, K. H., Feng, B., Kim, S., Lazarova-Molnar, S., Zheng, Z., Roeder, T. and Thiesing, R. |
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| Type | Conference paper |
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| 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. |
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| Year | 2020 |
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| Conference | Winter Simulation Conference 2020 |
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| Publisher | IEEE |
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| Accepted author manuscript | |
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| Publication dates |
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| Published | 29 Mar 2021 |
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| ISBN | 9781728194998 |
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| Digital Object Identifier (DOI) | https://doi.org/10.1109/WSC48552.2020.9383971 |
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