Paper Info
Title
An Energy-Efficient Framework for Large-Scale Parallel Storage Systems
Abstract
Huge energy consumption has become a critical bottleneck for further applying large-scale cluster systems to build new data centers. Among various components of a data center, storage subsystems are one of the biggest consumers of energy. In this paper, we propose a novel buffer-disk based framework for large-scale and energy-efficient parallel storage systems. To validate the efficiency of the proposed framework, a buffer-disk scheduling algorithm is designed and implemented. Our algorithm can provide more opportunities for underlying disk power management schemes to save energy by keeping a large number of idle data disks in sleeping mode as long as possible. The trace-driven simulation results based on a revised disksim simulator show that this new framework can significantly improves the energy efficiency of large-scale parallel storage systems.
Year
DOI
Venue
2007
10.1109/IPDPS.2007.370559
IPDPS
Keywords
Field
DocType
large-scale parallel storage systems,parallel processing,trace-driven simulation,power aware computing,scheduling,energy-efficient parallel storage systems,buffer-disk scheduling algorithm,buffer storage,disk power management schemes,data centers,disksim simulator,disc storage,computer science,high performance computing,scheduling algorithm,energy efficiency,data center,energy efficient,algorithm design and analysis,energy storage,disk scheduling,storage system
Energy storage,Bottleneck,Power management,Algorithm design,Supercomputer,Computer science,Efficient energy use,Parallel computing,Data center,Energy consumption,Distributed computing
Conference
ISBN
Citations 
PageRank 
1-4244-0910-1
17
0.69
References 
Authors
13
4
Name
Order
Citations
PageRank
Ziliang Zong164640.20
Matt Briggs2170.69
Nick O'connor3170.69
Xiao Qin41836125.69