NDLI: An Adaptive Energy-Conserving Strategy for Parallel Disk Systems

Content Provider	IEEE Xplore Digital Library
Author	Nijim, M. Manzanares, A. Xiao Qin
Copyright Year	2008
Description	Author affiliation: Sch. of Comput., Univ. of Southern Mississippi, Hattiesburg, MS (Nijim, M.) \|\| Dept. of Comput. Sci. & Software Eng., Auburn Univ., Auburn, AL (Manzanares, A.; Xiao Qin)
Abstract	In the past decade parallel disk systems have been highly scalable and able to alleviate the problem of disk I/O bottleneck, thereby being widely used to support a wide range of data-intensive applications. Optimizing energy consumption in parallel disk systems has strong impacts on the cost of backup power-generation and cooling equipment, because a significant fraction of the operation cost of data centres is due to energy consumption and cooling. Although a variety of parallel disk systems were developed to achieve high performance and energy efficiency, most existing parallel disk systems lack an adaptive way to conserve energy in dynamically changing workload conditions. To solve this problem, we develop an adaptive energy-conserving algorithm, or DCAPS, for parallel disk systems using the dynamic voltage scaling technique that dynamically choose the most appropriate voltage supplies for parallel disks while guaranteeing specified performance (i.e., desired response times) for disk requests. We conduct extensive experiments to quantitatively evaluate the performance of the proposed energy-conserving strategy. Experimental results consistently show that DCAPS significantly reduces energy consumption of parallel disk systems in a dynamic environment over the same disk systems without using the DCAPS strategy.
Starting Page	75
Ending Page	82
File Size	446781
Page Count	8
File Format	PDF
ISBN	9780769534251
ISSN	15506525
DOI	10.1109/DS-RT.2008.27
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy consumption Energy efficiency Delay Dynamic voltage scaling Application software Scheduling algorithm Cost function Cooling Hardware Energy storage dynamic voltage scaling Parallel disk system
Content Type	Text
Resource Type	Article

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