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MTC is often configured and run by means of a tool chain creating sets of parameterized computations, initiating the remote computations on a computing cluster and providing the results for further processing [28].
In the test scenario, data-driven forecasting models are trained on a single computer or on a computing cluster using the previously described techniques and an amount of training data corresponding either to 1 day (1D), 1 week (1W), 1 month (1M), 6 months (6M), 1 year (1Y), 5 years (5Y), or 10 years (10Y) of the load time series.
Afterwards, a benchmark comparing the training and evaluation of data-driven forecasting models using different amounts of data, as well as R and Spark on a single computer and Spark on a computing cluster is presented.
These goals are achieved by comparing the required time for training and applying different data-driven forecasting models on a computing cluster (using Spark) and on a single computer (using R and Spark).
Data processing is implemented as a distributed process run on a computing cluster with 192 processor dual-dual core 2.8 Ghz computer nodes.
On top of these systems will sit many specialised and interconnected firms, just like applications on a computing platform.
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Where performing an original simulation would take days on a compute server, our method takes mere seconds on a modern desktop computer.
On a computed tomography scan (CT Fig.
One way of ensuring faster execution time is to utilize multiple CPU cores on a compute resource.
But just like I don't use Ubuntu on a compute cluster for research purposes, I don't expect to use Ubuntu on a tablet.
The ContextBroker is deployed on a Glassfish [20] application server, which itself is hosted on a compute node of the OpenStack (http://www.openstack.org) cloud platform (Diablo release).
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