Heating Homes with Servers: Workload Scheduling for Heat Reuse in Distributed Data Centers

Heating Homes with Servers: Workload Scheduling for Heat Reuse in Distributed Data Centers

Data centers consume lots of energy to execute their computational workload and generate heat that is mostly wasted. In this paper, we address this problem by considering heat reuse in the case of a distributed data center that features IT equipment (i.e., servers) installed in residential homes to...

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Bibliographic Details
Main Authors: Marcel Antal, Andrei-Alexandru Cristea, Victor-Alexandru Pădurean, Tudor Cioara, Ionut Anghel, Claudia Antal (Pop), Ioan Salomie, Nicolas Saintherant
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
heat reuse
distributed data centers
workload scheduling
machine learning
mathematical modeling
Online Access:https://www.mdpi.com/1424-8220/21/8/2879

Internet

https://www.mdpi.com/1424-8220/21/8/2879

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