Paper Info
Title
TIGER: Thermal-Aware File Assignment in Storage Clusters
Abstract
AbstractIn 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.
Year
DOI
Venue
2013
10.1109/TPDS.2015.2409872
Periodicals
Keywords
Field
DocType
Clustered storage system, heat re-circulation
Cluster (physics),Energy conservation,Thermal,Tiger,CPU time,Computer science,Server,Response time,Real-time computing,Data center
Conference
Volume
Issue
ISSN
27
2
1045-9219
Citations 
PageRank 
References 
1
0.35
26
Authors
7
Name
Order
Citations
PageRank
ajit chavan111.03
Mohammed I. Alghamdi231.05
Xunfei Jiang3569.40
Xiao Qin41836125.69
Meikang Qiu53722246.98
MingHua Jiang61310.96
Jifu Zhang79519.42