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This paper presents a formal model for science clouds, capable of predicting and controlling resources scalably, as well as its implementation as an open source solution, called Chiminey. The feasibility of Chiminey is shown using case studies on biophysics and structural chemistry computations. Big data is acquired from scientific instruments such as synchrotrons and atomic force microscopes. The...
The enabling of scientific experiments that are embarrassingly parallel, long running and data-intensive into a cloud-based execution environment is a desirable, though complex undertaking for many researchers. The management of such virtual environments is cumbersome and not necessarily within the core skill set for scientists and engineers. We present here Chiminey, a software platform that enables...
For a scientist in the modern era, reliability of results is no longer the key to a successful career in research. Increasingly, scientists must demonstrate the applicability (e.g. usefulness) of their work, as well as ensure the research is accessible (e.g. easy to find and easy to interpret). It is these three traits that define how others perceive a body of scientific work. Analyzing citations,...
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