Mass Storage Systems and Technologies, IEEE / NASA Goddard Conference on (2013)
Long Beach, CA, USA USA
May 6, 2013 to May 10, 2013
Ajit Chavan , Department of Computer Science and Software Engineering, Auburn University, Auburn, USA
Xunfei Jiang , Department of Computer Science and Software Engineering, Auburn University, Auburn, USA
Mohemmad I. Alghamdi , Department of Computer Science, Al-Baha University, Kingdom of Saudi Arebia
Xiao Qin , Department of Computer Science and Software Engineering, Auburn University, Auburn, USA
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 thermal-aware file assignment technique called TIGER for reducing cooling cost of storage clusters in data centers. TIGER first calculates the thresholds of disks in each node based on its contribution to heat recirculation in a data center. Next, TIGER assigns files to data nodes according to calculated thresholds. We evaluated 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, Silicon, Power demand, Temperature distribution, Educational institutions, Thermal management
A. Chavan, X. Jiang, M. I. Alghamdi, X. Qin, M. Jiang and J. Zhang, "TIGER: Thermal-aware file assignment in storage clusters," 2013 IEEE 29th Symposium on Mass Storage Systems and Technologies (MSST 2013)(MSST), Long Beach, CA, 2013, pp. 1-5.