DocumentCode
2798862
Title
Performance Evaluation of Energy-Efficient Parallel I/O Systems with Write Buffer Disks
Author
Ruan, Xiaojun ; Manzanares, Adam ; Yin, Shu ; Zong, Ziliang ; Qin, Xiao
Author_Institution
Dept. of Comput. Sci. & Software Eng., Auburn Univ., Auburn, AL, USA
fYear
2009
fDate
22-25 Sept. 2009
Firstpage
164
Lastpage
171
Abstract
In the past decade, parallel disk systems have been developed to address the problem of I/O performance. A critical challenge with modern parallel I/O systems is that parallel disks consume a significant amount of energy in servers and high performance computers. To conserve energy consumption in parallel I/O systems, one can immediately spin down disks when disk are idle; however, spinning down disks might not be able to produce energy savings due to penalties of spinning operations. Unlike powering up CPUs, spinning down and up disks need physical movements. Therefore, energy savings provided by spinning down operations must offset energy penalties of the disk spinning operations. To substantially reduce the penalties incurred by disk spinning operations, we developed a novel approach to conserving energy of parallel I/O systems with write buffer disks, which are used to accumulate small writes using a log file system. Data sets buffered in the log file system can be transferred to target data disks in a batch way. Thus, buffer disks aim to serve a majority of incoming write requests, attempting to reduce the large number of disk spinning operations by keeping data disks in standby for long period times. Interestingly, the write buffer disks not only can achieve high energy efficiency in parallel I/O systems, but also can shorten response times of write requests. To evaluate the performance and energy efficiency of our parallel I/O systems with buffer disks, we implemented a prototype using a cluster storage system as a testbed. Experimental results show that under light and moderate I/O load, buffer disks can be employed to significantly reduce energy dissipation in parallel I/O systems without adverse impacts on I/O performance.
Keywords
input-output programs; parallel programming; software performance evaluation; storage management; energy savings; energy-efficient parallel I/O systems; log file system; parallel disk systems; performance evaluation; write buffer disks; Buffer storage; Concurrent computing; Delay; Energy consumption; Energy efficiency; Energy storage; File systems; High performance computing; Prototypes; Spinning; Energy Efficient; buffer disks; writes strategy;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel Processing, 2009. ICPP '09. International Conference on
Conference_Location
Vienna
ISSN
0190-3918
Print_ISBN
978-1-4244-4961-3
Electronic_ISBN
0190-3918
Type
conf
DOI
10.1109/ICPP.2009.10
Filename
5362274
Link To Document