Energy-Aware Scheduling Based on Marginal Cost and Task Classification in Heterogeneous Data Centers

Energy-Aware Scheduling Based on Marginal Cost and Task Classification in Heterogeneous Data Centers

The energy consumption problem has become a bottleneck hindering further development of data centers. However, the heterogeneity of servers, hybrid cooling modes, and extra energy caused by system state transitions increases the complexity of the energy optimization problem. To deal with such challe...

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Bibliographic Details
Main Authors: Kaixuan Ji, Ce Chi, Fa Zhang, Antonio Fernández Anta, Penglei Song, Avinab Marahatta, Youshi Wang, Zhiyong Liu
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Energies
Subjects:
data center
energy-aware
marginal cost
task scheduling
cooling system
task classification
Online Access:https://www.mdpi.com/1996-1073/14/9/2382

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https://www.mdpi.com/1996-1073/14/9/2382

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