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Energy-Efficient, Thermal-Aware Task Scheduling for Homogeneous, High Performance Computing Data Centers: A Cyber-Physical Approach
| Citations: | 76 - 5 self |
BibTeX
@MISC{Tang_energy-efficient,thermal-aware,
author = {Qinghui Tang and Eep K. S. Gupta and Senior Member and Georgios Varsamopoulos},
title = {Energy-Efficient, Thermal-Aware Task Scheduling for Homogeneous, High Performance Computing Data Centers: A Cyber-Physical Approach},
year = {}
}
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Abstract
Abstract—High Performance Computing data centers have been rapidly growing, both in number and size. Thermal management of data centers can address dominant problems associated with cooling such as the recirculation of hot air from the equipment outlets to their inlets, and the appearance of hot spots. In this paper, we show through formalization that minimizing the peak inlet temperature allows for the lowest cooling power needs. Using a low-complexity, linear heat recirculation model, we define the problem of minimizing the peak inlet temperature within a data center through task assignment (MPIT-TA), consequently leading to minimal cooling requirement. We also provide two methods to solve the formulation, XInt-GA, which uses a genetic algorithm and XInt-SQP, which uses sequential quadratic programming. Results from small-scale data center simulations show that solving the formulation leads to an inlet temperature distribution that, compared to other approaches, is 2 °C to 5 °C lower and achieves about 20%-30 % cooling energy savings at common data center utilization rates. Moreover, our algorithms consistently outperform MinHR, a recirculation-reducing task placement algorithm in the literature.
Keyphrases
high performance computing data center thermal-aware task scheduling cyber-physical approach data center peak inlet temperature common data center utilization rate inlet temperature distribution energy saving recirculation-reducing task placement algorithm genetic algorithm thermal management equipment outlet task assignment small-scale data center simulation linear heat recirculation model hot spot sequential quadratic programming hot air dominant problem power need
