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Open AccessArticle

Thermal-Aware Hybrid Workload Management in a Green Datacenter towards Renewable Energy Utilization

1
State Key Laboratory of Plateau Ecology and Agriculture, Department of Computer Technology and Applications, Qinghai University, Xining 810016, China
2
Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
*
Author to whom correspondence should be addressed.
Energies 2019, 12(8), 1494; https://doi.org/10.3390/en12081494
Received: 27 March 2019 / Revised: 11 April 2019 / Accepted: 16 April 2019 / Published: 19 April 2019
(This article belongs to the Special Issue Sustainable Energy Consumption)
The increase in massive data processing and computing in datacenters in recent years has resulted in the problem of severe energy consumption, which also leads to a significant carbon footprint and a negative impact on the environment. A growing number of IT companies with operating datacenters are adopting renewable energy as part of their energy supply to offset the consumption of brown energy. In this paper, we focused on a green datacenter using hybrid energy supply, leveraged the time flexibility of workloads in the datacenter, and proposed a thermal-aware workload management method to maximize the utilization of renewable energy sources, considering the power consumption of both computing devices and cooling devices at the same time. The critical knob of our approach was workload shifting, which scheduled more delay-tolerant workloads and allocated resources in the datacenter according to the availability of renewable energy supply and the variation of cooling temperature. In order to evaluate the performance of the proposed method, we conducted simulation experiments using the Cloudsim-plus tool. The results demonstrated that the proposed method could effectively reduce the consumption of brown energy while maximizing the utilization of green energy. View Full-Text
Keywords: green datacenter; renewable energy; workload management; power consumption; thermal-aware green datacenter; renewable energy; workload management; power consumption; thermal-aware
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MDPI and ACS Style

Li, Y.; Wang, X.; Luo, P.; Pan, Q. Thermal-Aware Hybrid Workload Management in a Green Datacenter towards Renewable Energy Utilization. Energies 2019, 12, 1494. https://doi.org/10.3390/en12081494

AMA Style

Li Y, Wang X, Luo P, Pan Q. Thermal-Aware Hybrid Workload Management in a Green Datacenter towards Renewable Energy Utilization. Energies. 2019; 12(8):1494. https://doi.org/10.3390/en12081494

Chicago/Turabian Style

Li, Yuling; Wang, Xiaoying; Luo, Peicong; Pan, Qingyi. 2019. "Thermal-Aware Hybrid Workload Management in a Green Datacenter towards Renewable Energy Utilization" Energies 12, no. 8: 1494. https://doi.org/10.3390/en12081494

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