TAPO: Thermal-aware power optimization techniques for servers and data centers

Huang, Wei; Allen-Ware, Malcolm; Carter, John B.; Elnozahy, E. N. Mootaz; Hamann, Hendrik F.; Keller, Teresa; Lefurgy, Charles; Li, Jian; Rajamani, Karthick; Rubio, J.

doi:10.1109/igcc.2011.6008610

Cited by 49 publications

(37 citation statements)

References 14 publications

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“…Thota et al studied how to forecast cooling loads for temperature control [25]. Particularly, Huang et al recommended to determine the set points of air conditioners based on the utilization level of a building [20]. However, the approach failed to minimize the overall energy consumption of the systems and fans.…”

Section: Optimization Approaches For System Efficiency In Sustainablementioning

confidence: 99%

“…To improve energy efficiency, it is critical to optimize system operations in SFM [44]. There are two approaches to address the optimization of HVAC system efficiency in buildings [17,18,20,22,23,25]. The two approaches include optimization of airflow organization and enhancement of AC control.…”

Section: Optimization Approaches For System Efficiency In Sustainablementioning

confidence: 99%

“…Huang et al [20] Determine the set points of CRAC based on the utilization level of the building. Applied a feedback-control approach on fans to achieve a trade-off between leakage power in circuit and fan power.…”

Section: Reduction On Redundant Cooling Supplymentioning

confidence: 99%

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Integrated Proactive Control Model for Energy Efficiency Processes in Facilities Management: Applying Dynamic Exponential Smoothing Optimization

2017

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Sustainable facilities management (SFM) opens the door of opportunity for companies to evaluate the quality of resources and environment management at their facilities. It enables the principles of sustainable development. There is still inefficiency in quantitative research of integrating environmental factors, particularly multi-source data, to monitor and control complicated systems in buildings. The objective of this research is to develop an effective method to dynamically optimize energy efficiency in SFM plans and strategies. The research question is: can the integrated proactive method reduce energy consumption with dynamically adjustable controls? This paper proposes a coordinated proactive control method using dynamic time-series prediction (PCM-DTSP) for SFM, which optimizes system controls by integrating the prediction results and monitored environmental-data. The results show that, after optimization, the temperature fluctuations are reduced to 33.3%. The average temperature and maximum temperature are reduced by 8% and 13.1%, respectively. The instantaneous power consumption was reduced by 0.17 KW per hour for each cooling system unit. The PCM-DTSP method can significantly optimize energy efficiency, which paves the way for long-term comprehensive energy management. The contribution of the research lies in its optimized control of energy consumption, temperature stabilization, and improvement of environmental comfort solutions, which can be generalized to various types of buildings.

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Section: Optimization Approaches For System Efficiency In Sustainablementioning

confidence: 99%

Section: Optimization Approaches For System Efficiency In Sustainablementioning

confidence: 99%

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Integrated Proactive Control Model for Energy Efficiency Processes in Facilities Management: Applying Dynamic Exponential Smoothing Optimization

2017

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“…Different cooling strategies in data centers have been proposed in the past [25], [27], [35], [40], [38]. Currently a popular trend is leveraging CFD to simulate the air recirculation in computing rooms [34].…”

Section: Related Workmentioning

confidence: 99%

Reduced Cooling Redundancy: A New Security Vulnerability in a Hot Data Center

Gao

Wang

et al. 2018

Proceedings 2018 Network and Distributed System Security Symposium

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Abstract-Data centers have been growing rapidly in recent years to meet the surging demand of cloud services. However, the expanding scale and powerful servers generate a great amount of heat, resulting in significant cooling costs. A trend in modern data centers is to raise the temperature and maintain all servers in a relatively hot environment. While this can save on cooling costs given benign workloads running in servers, the hot environment increases the risk of cooling failure. In this paper, we unveil a new vulnerability of existing data centers with aggressive cooling energy saving policies. Such a vulnerability might be exploited to launch thermal attacks that could severely worsen the thermal conditions in a data center. Specifically, we conduct thermal measurements and uncover effective thermal attack vectors at the server, rack, and data center levels. We also present damage assessments of thermal attacks. Our results demonstrate that thermal attacks can (1) largely increase the temperature of victim servers degrading their performance and reliability, (2) negatively impact on thermal conditions of neighboring servers causing local hotspots, (3) raise the cooling cost, and (4) even lead to cooling failures. Finally, we propose effective defenses to prevent thermal attacks from becoming a serious security threat to data centers.

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“…This work focuses on the integration of different "silos", e.g., [20,28,30,10]. An example of such work is the dynamic thermal management of airconditioners based on load at the IT rack level [20,9].…”

Section: Introductionmentioning

confidence: 99%

Renewable and cooling aware workload management for sustainable data centers

LiuZhenhua

ChenYuan

Bash

et al. 2012

SIGMETRICS Perform. Eval. Rev.

215

193

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Recently, the demand for data center computing has surged, increasing the total energy footprint of data centers worldwide. Data centers typically comprise three subsystems: IT equipment provides services to customers; power infrastructure supports the IT and cooling equipment; and the cooling infrastructure removes heat generated by these subsystems. This work presents a novel approach to model the energy flows in a data center and optimize its operation. Traditionally, supply-side constraints such as energy or cooling availability were treated independently from IT workload management. This work reduces electricity cost and environmental impact using a holistic approach that integrates renewable supply, dynamic pricing, and cooling supply including chiller and outside air cooling, with IT workload planning to improve the overall sustainability of data center operations. Specifically, we first predict renewable energy as well as IT demand. Then we use these predictions to generate an IT workload management plan that schedules IT workload and allocates IT resources within a data center according to time varying power supply and cooling efficiency. We have implemented and evaluated our approach using traces from real data centers and production systems. The results demonstrate that our approach can reduce both the recurring power costs and the use of non-renewable energy by as much as 60% compared to existing techniques, while still meeting the Service Level Agreements.

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TAPO: Thermal-aware power optimization techniques for servers and data centers

Cited by 49 publications

References 14 publications

Integrated Proactive Control Model for Energy Efficiency Processes in Facilities Management: Applying Dynamic Exponential Smoothing Optimization

Integrated Proactive Control Model for Energy Efficiency Processes in Facilities Management: Applying Dynamic Exponential Smoothing Optimization

Reduced Cooling Redundancy: A New Security Vulnerability in a Hot Data Center

Renewable and cooling aware workload management for sustainable data centers

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