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Smart Scheduling for Big Computing Tasks Cuts Emissions Up to a Third

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Planning intensive computing for hours during which renewable energy is used limits carbon emissions.

Because the results of many large jobs are not needed immediately, there is scope to reduce carbon emissions with careful planning.

Credit: Alex Plavevski/EPA-EFE/Shutterstock

Researchers at Germany's Technical University of Berlin (TUB) found that shifting large computing jobs to nights or weekends can lower carbon emissions from datacenters by as much as a third.

They also recommend scheduling the jobs at times when renewable sources account for the greatest portion of the energy mix.

The researchers performed simulations for running data-intensive computing during a 16-hour window, and compared their results to a baseline test in which tasks were run each night at 1 a.m.

They found that running data-intensive computing during that window would reduce annual carbon emissions by 7.4% in Great Britain, 11.2% in Germany, and more than 33% in California.

TUB’s Philipp Wiesner said government policies could incentivize a similar system to reduce carbon emissions.

From New Scientist
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Abstracts Copyright © 2021 SmithBucklin, Washington, DC, USA


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