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Reproducibility of experiments is considered as one of the main principles of the scientific method. Recent developments in data and computation intensive science, i.e. e-Science, and state of the art in Cloud computing provide the necessary components to preserve data sets and re-run code and software that create research data. The Executable Paper (EP) concept uses state of the art technology to...
The amount of computing resources currently available on Clouds is large and easily available with pay per use cost model. E-Science applications that need on-demand execution benefit from Clouds, because no permanent computing resources to support peak demand has to be acquired. In this paper, we present AMOS, a system that automates creation and management of temporary Grids on a Cloud to execute...
Grid workflow management systems automate the orchestration of scientific applications with large computational and data processing needs, but lack control over network resources. Consequently, the management system cannot prevent multiple communication intensive applications to compete for network resources, which leads to unpredictable performance. Currently, the lack of control over network resources...
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