Issue No. 02 - Feb. (2016 vol. 27)
Ajit Chavan , Department of Computer Science and Software Engineering, Auburn University, Auburn, AL
Mohammed I. Alghamdi , Department of Computer Science, Al-Baha University, Al-Baha City, Kingdom of Saudi Arabia
Xunfei Jiang , Department of Computer Science and Software Engineering, Auburn University, Auburn, AL
Xiao Qin , Department of Computer Science and Software Engineering, Auburn University, Auburn, AL
Meikang Qiu , Department of Computer Science, Pace University, NY, New York
Minghua Jiang , College of Mathematics and Computer Science, Wuhan Textile University, Wuhan, China
Jifu Zhang , School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China
In this paper, we present a thermal-aware file assignment technique called TIGER for reducing the cooling cost of storage clusters in data centers. We show that peak inlet temperatures of storage nodes depend on not only CPU utilization but also I/O activities, which rely on file assignments in a cluster. The TIGER scheme aims to lower peak inlet temperatures of storage clusters by dynamic thermal management through file placements. TIGER makes use of cross-interference coefficients to estimate the re-circulation of hot air from the outlets to the inlets of data nodes. TIGER first calculates the thresholds of disks in each data node based on its contribution to heat re-circulation in a data center. TIGER undertakes two steps to achieve high I/O performance while reducing cooling cost. First, TIGER assigns groups of files with similar service times to shorten I/O response times. Second, TIGER ensures that load imbalance does not exceed a specified threshold. We evaluate performance of TIGER in terms of both cooling energy conservation and response time of a storage cluster. Our results confirm that TIGER reduces cooling-power requirements for clusters by offering about 10 to 15 percent cooling-energy savings without significantly degrading I/O performance.
Heating, Cooling, Temperature distribution, Power demand, Thermal management, Temperature measurement, Servers
A. Chavan et al., "TIGER: Thermal-Aware File Assignment in Storage Clusters," in IEEE Transactions on Parallel & Distributed Systems, vol. 27, no. 2, pp. 558-573, 2016.