Towards thermal-aware Hadoop clusters

Yi, Zhou; Taneja, Shubbhi; Dudeja, Gautam; Qin, Xiao; Zhang, Jifu; Jiang, Minghua; Alghamdi, Mohammed I.

doi:10.1016/j.future.2018.04.084

Cited by 3 publications

(1 citation statement)

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“…Furthermore, prior studies demonstrated that workload consolidation is an effective approach to increasing resource utilization and lower power consumption [21] [22]. A growing number of workload consolidation-based techniques were proposed to reduce the power consumption of data centers.…”

Section: Cooling Cost Considerationmentioning

confidence: 99%

Towards Thermal-Aware Workload Distribution in Cloud Data Centers Based on Failure Models

Deng

et al. 2023

IEEE Trans. Comput.

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Increasing workload conditions lead to a significant surge in power consumption and computing node failures in data centers. The existing workload distribution strategies focused on either thermal awareness or failure mitigation, overlooking the impact of node failures on the energy efficiency of cloud data centers. To address this issue, a new holistic model is built to characterize the impacts of workloads, computing and cooling costs, heat recirculation, and node failure on the energy efficiency of cloud data centers. Leveraging such a holistic model, we propose a novel thermal-aware workload distribution strategy called HGSA that takes node failure into accountand can improve the energy efficiency of cloud data centers. Our empirical findings confirm that (i) faulty nodes lead to a large rise in power consumption, and (ii) failure locations play a vital role in the power consumption of data centers. Experimental results unveil that HGSA is adroit at making near-optimal decisions in workload distribution strategies. In particular, HGSA cuts down the minimum inlet temperature by 5.2%-15%, improves the maximum air temperature of a Computer Room Air Conditioner (CRAC) model by 4.2%-26.5%, lowers the cooling cost by 15.4%-50% compared to the existing solutions. Furthermore, HGSA cuts back the total power consumption by 0.65%-78%.

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Section: Cooling Cost Considerationmentioning

confidence: 99%