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The enabling of scientific experiments increasingly includes data, software, computational and simulation elements, often embarrassingly parallel, long running and data-intensive. Frequently, such experiments are run in a cloud environment or on high-end clusters and supercomputers. Many disciplines in sciences and engineering (and outside computer science) find the requisite computational skills...
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...
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