Title | Towards a Deadline-Based Simulation Experimentation Framework Using Micro-Services Auto-Scaling Approach |
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Authors | Anagnostou, A., Taylor, S.J.E., Abubakar, N.T., Kiss, T., Deslauriers, J., Gesmier, G., Terstyanszky, G., Kacsuk, P. and Kovacs, J. |
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Editors | Mustafee, N., Bae, K.-H.G., Lazarova-Molnar, S., Rabe, M., Szabo, C., Haas, P. and Son, Y-J. |
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Type | Conference paper |
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Abstract | There is growing number of research efforts in developing auto-scaling algorithms and tools for cloud resources. Traditional performance metrics such as CPU, memory and bandwidth usage for scaling up or down resources are not sufficient for all applications. For example, modeling and simulation experimentation is usually expected to yield results within a specific timeframe. In order to achieve this, often the quality of experiments is compromised either by restricting the parameter space to be explored or by limiting the number of replications required to give statistical confidence. In this paper, we present early stages of a deadline-based simulation experimentation framework using a micro-services auto-scaling approach. A case study of an agent-based simulation of a population physical activity behavior is used to demonstrate our framework. |
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Year | 2019 |
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Conference | Winter Simulation Conference 2019 |
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Publisher | IEEE |
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Accepted author manuscript | File Access Level Open (open metadata and files) |
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Publication dates |
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Published | 20 Feb 2020 |
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Published | Dec 2019 |
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Journal | 2019 Winter Simulation Conference (WSC) |
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ISSN | 0891-7736 |
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Book title | Proceedings of the 2019 Winter Simulation Conference (WSC19) |
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Book editor | Mustafee, N. |
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| Bae, K.-H.G. |
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| Lazarova-Molnar, S. |
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| Rabe, M. |
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| Szabo, C. |
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| Haas, P. |
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| Son, Y-J. |
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ISBN | 9781728132839 |
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Funder | EC (European Commission) |
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Digital Object Identifier (DOI) | https://doi.org/10.1109/wsc40007.2019.9004882 |
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Web address (URL) | http://dx.doi.org/10.1109/wsc40007.2019.9004882 |
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