Abstract
Cloud Computing has demonstrated to be attractive for different application fields, including scientific ones, that have already benefited from distributed environments like Grid. Nevertheless the main Grid model is static, so users cannot add or modify computational resources in accordance to their needs. Besides it is not possible to dynamically modify the resources on the basis of the real system workload. Elastic computing and pay per use business model of Cloud paradigm have been investigated to build a Grid infrastructure over virtual resources. In this paper we propose the integrated utilization of simulation techniques and service brokering to provide a decision support to the user, when it needs to choose the best Cloud infrastructure and provider that satisfy the performance requirements of its scientific application, whose workload is known.
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Amato, A., Di Martino, B., Xhafa, F., Venticinque, S. (2016). Brokering of Cloud Infrastructures Driven by Simulation of Scientific Workloads. In: Rossignoli, C., Gatti, M., Agrifoglio, R. (eds) Organizational Innovation and Change. Lecture Notes in Information Systems and Organisation, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-22921-8_19
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DOI: https://doi.org/10.1007/978-3-319-22921-8_19
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