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Cloud computing was formerly intended for dealing with difficulties relating huge volumes of data and/or compute-intensive applications. Today, however, Clouds enlarged their skyline as they are going to run both scientific and business applications supporting scientists, professionals and end users. Thus, clouds promise to be for scientists an alternative to clusters, grids, and supercomputers. However, virtualization may induce significant performance penalties for the demanding scientific computing workloads. In this paper, the authors present an evaluation of the usefulness of the current cloud computing services for scientific computing. They quantify the presence in real scientific computing workloads of Numerous Job Schedules by the users.
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