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Scientific workflows evolved to a useful means in computational science in order to model and execute complex data processing tasks on distributed infrastructures such as Grids.
Many workflow languages and corresponding workflow engines and tools were developed to model and execute scientific workflows, without using established workflow technologies from the business domain.
With all the possibilities so opened up, how do you find the right business model and execute it successfully?
Latin American startups have a canny ability to take a proven business model, and execute like crazy to improve on it.
Then, the simulator can create random requests, automate the interactions with users by using the predefined user model, and execute the learning algorithm.
Startup founders are not only searching to prove their business model and execute on it, but they're looking for a way to do so quickly, and in a way that has a major impact on their given market.
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The F-zkNN probabilistic classifier is based on the MapReduce programming model and executed in a single distributed session.
Itoh et al. (2013b) adopted their elaborate structural model and executed a volumetric analysis of the extensive tectonic depression by means of Gauss-Legendre numerical integration (Davis and Rabinowitz 2007).
Using a different paradigm, the climateprediction.net uses the distributed computing concept, inviting thousands of participants to download a climate model and executing in a low spatial resolution to simulate 100 years of the Earth's climate [23].
CM identified central requirements for multi-level modeling in cell biological systems, developed the model, and executed the corresponding simulation study.
It works with the framework Feature Model Analyzer (FaMa) (FaMa 2014), which is responsible to validate the models and execute the test data.
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