• 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