期刊
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
卷 104, 期 -, 页码 174-186出版社
ELSEVIER
DOI: 10.1016/j.future.2019.10.040
关键词
Data center workload assignment; Cooling unit control; Thermal-aware scheduling; Thermal model; Data center power efficiency; Efficient cooling
资金
- Natural Science and Engineering Research Council of Canada (NSERC) [CRDPI506142-16]
- Cinnos Mission Critical Incorporated, Canada
Information technology (IT) equipment and cooling infrastructure are key contributors to the total energy expenditure in a data center. There is typically significant power wastage due to inefficient cooling control and thermal-oblivious management of workload. Recent thermal-aware data center management techniques have not taken a unified approach in controlling IT and cooling systems. In this paper, we find that considering thermal effects of server workloads, in conjunction with control parameters of the cooling unit saves more power than optimizing each of them separately. We leverage a low complexity holistic data center model that considers thermal interactions between IT and cooling unit entities. This thermal model provides control decisions with fine-grained control variables. We propose joint cooling and workload management (JCWM), which has the potential to save a considerable amount of power by exploring synergies between the workload scheduler and operational parameters of the cooling unit. In addition, we provide a significant caveat for the power efficiency of server consolidation methods when taking into account associated thermal effects. (C) 2019 Elsevier B.V. All rights reserved.
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