Abstract
Cloud computing has emerged as a new technology that provides on-demand access to a large amount of computing resources. This makes it an ideal environment for executing metaheuristic optimization experiments. In this paper, we investigate the use of cloud computing for metaheuristic optimization. This is done by analyzing job characteristics from our production system and conducting a performance comparison between different execution environments. Additionally, a cost analysis is done to incorporate expenses of using virtual resources.
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Pimminger, S., Wagner, S., Kurschl, W., Heinzelreiter, J. (2013). Optimization as a Service: On the Use of Cloud Computing for Metaheuristic Optimization. In: Moreno-DÃaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory - EUROCAST 2013. EUROCAST 2013. Lecture Notes in Computer Science, vol 8111. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53856-8_44
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DOI: https://doi.org/10.1007/978-3-642-53856-8_44
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