Dynamic Thermal Management of Air Cooled Data Centers

Bash, Cullen; Patel, Chandrakant D.; Sharma, Ratnesh

doi:10.1109/itherm.2006.1645377

Cited by 126 publications

(103 citation statements)

References 8 publications

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“…According to simulations, this scheme outperforms the conventional placement schemes. Another thermal control scheme [50] proposed by Bash et al is also using thermal sensors that are placed in a distributed network and attached to racks in order to provide measurements of the environment. Results show 50% improvement in the performance, beside a better utilization of different spaces in the data center according to the provided measurements.…”

Section: Cooling Challengesmentioning

confidence: 99%

Data Center Architectures: Challenges and Opportunities

Alaskar¹,

Ahmad

2014

IJNCAA

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Recently, data centers became a main part in information and communication technology. Data centers are facing many challenges because of the rapid and continuous growth of applications' size and complexity. In this paper, we present an overview of data center architectures challenges and their proposed solutions related to networking equipment, information technology equipment, power conservation equipment as well as cooling systems. We also mentioned how software defined network, a promising technology, can enhance the performance of data centers, and what challenges are faced while applying such technology to existing data centers.

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Section: Cooling Challengesmentioning

confidence: 99%

Data Center Architectures: Challenges and Opportunities

Alaskar¹,

Ahmad

2014

IJNCAA

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“…Apart from these, cooling has been dynamically provisioned based on the ambient sensor data in the data centers [22]. This paper makes data center management cyber-physical in nature by coordinating cooling management with job and power management (using concepts from thermodynamics and resource management).…”

Section: Related Workmentioning

confidence: 99%

Model-driven coordinated management of data centers

et al. 2010

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“…Various thermal management schemes for improving the energy efficiency of data centers rely on real-time and highfidelity temperature monitoring [4] [5] [6] [7]. Recently, Wireless Sensor Networks (WSN) has been identified as an ideal enabling technology for thermal monitoring in data centers due to several of its salient advantages, including sufficient coverage and no reliance on additional network and facility infrastructure in already complicated data center environments.…”

Section: Introductionmentioning

confidence: 99%

A High-Fidelity Temperature Distribution Forecasting System for Data Centers

Chen

Tan

Wang

et al. 2012

2012 IEEE 33rd Real-Time Systems Symposium

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Abstract-Data centers have become a critical computing infrastructure in the era of cloud computing. Temperature monitoring and forecasting are essential for preventing overheatinginduced server shutdowns and improving a data center's energy efficiency. This paper presents a novel cyber-physical approach for temperature forecasting in data centers, which integrates Computational Fluid Dynamics (CFD) modeling, in situ wireless sensing, and real-time data-driven prediction. To ensure the forecasting fidelity, we leverage the realistic physical thermodynamic models of CFD to generate transient temperature distribution and calibrate it using sensor feedback. Both simulated temperature distribution and sensor measurements are then used to train a real-time prediction algorithm. As a result, our approach significantly reduces the computational complexity of online temperature modeling and prediction, which enables a portable, noninvasive thermal monitoring solution that does not rely on the infrastructure of monitored data center. We extensively evaluated our system on a rack of 15 servers and a testbed of five racks and 229 servers in a production data center. Our results show that our system can predict the temperature evolution of servers with highly dynamic workloads at an average error of 0.52• C, within a duration up to 10 minutes.

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Dynamic Thermal Management of Air Cooled Data Centers

Cited by 126 publications

References 8 publications

Data Center Architectures: Challenges and Opportunities

Data Center Architectures: Challenges and Opportunities

Model-driven coordinated management of data centers

A High-Fidelity Temperature Distribution Forecasting System for Data Centers

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