DocumentCode :
2983544
Title :
Analysis of the File System and Block IO Scheduler for SSD in Performance and Energy Consumption
Author :
Hui, Sun ; Rui, Zeng ; Jin, Cheng ; Lei, Liu ; Fei, Wu ; Sheng, Xie Chang
Author_Institution :
Wuhan Nat. Lab. for Optoelectron., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2011
fDate :
12-15 Dec. 2011
Firstpage :
48
Lastpage :
55
Abstract :
SSD (Solid State Disk) is reconsidered as the next storage device, an alternative to the HDD (Hard Disk Driver). The read/write performance and energy consumption are main aspects to the users. In our experiment, we recognize that the performance and energy consumption of SSD, based on NAND Flash, are mostly related with the file system and block I/O scheduler. In order to gain higher performance and lower energy consumption, we test the different combination of file system and scheduler under workload simulator, File bench, using three kinds of commercial SSDs. According to the different combination of file system and block I/O, we analyze the performance parameter, IOPS, and energy consumption parameter, POWER, under some special workload. Lastly, we present a parameter, aggregative indicator (AI), to evaluate the overall characteristic of some combination of file system and block I/O, which synthesizes IOPS and POWER. It is to find a better combination for special workload. In the experiment, the combination of extent file system (ext2 or ext3) and CFQ expresses better more value of the aggregative indicator than others.
Keywords :
file organisation; flash memories; input-output programs; scheduling; NAND Flash; SSD; aggregative indicator; block IO scheduler; energy consumption; file system; next storage device; solid state disk; Analytical models; Artificial intelligence; Energy consumption; File systems; Flash memory; Generators; Performance evaluation; NAND Flash-Solid State Disk; energy consumption; performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Computing Conference (APSCC), 2011 IEEE Asia-Pacific
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4673-0206-7
Type :
conf
DOI :
10.1109/APSCC.2011.29
Filename :
6127942
Link To Document :
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