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Harnessing Task Usage Prediction and Latency Sensitivity for Scheduling Workloads in Wind-Powered Data Centers.

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Title: Harnessing Task Usage Prediction and Latency Sensitivity for Scheduling Workloads in Wind-Powered Data Centers.
Authors: Osnes, Idun1 (AUTHOR) postmottak@its.uio.no, Yazidi, Anis2,3,4 (AUTHOR) anisy@oslomet.no, Jacobsen, Hans-Arno5 (AUTHOR) jacobsen@eecg.toronto.edu, Eliassen, Frank6 (AUTHOR) frank@ifi.uio.no, Sartori, Sabrina1 (AUTHOR) sabrina.sartori@its.uio.no
Source: Energies (19961073). Jun2022, Vol. 15 Issue 12, p4469. 16p.
Database: Academic Search Ultimate
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  Data: Harnessing Task Usage Prediction and Latency Sensitivity for Scheduling Workloads in Wind-Powered Data Centers.
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jun2022, Vol. 15 Issue 12, p4469. 16p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=157715545
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        Value: 10.3390/en15124469
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        Text: English
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        StartPage: 4469
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      – TitleFull: Harnessing Task Usage Prediction and Latency Sensitivity for Scheduling Workloads in Wind-Powered Data Centers.
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              Text: Jun2022
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              Y: 2022
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