• DocumentCode
    2977859
  • Title

    Energy Aware Data Layout for De-duplication System

  • Author

    Yan Fang ; Tan Yuan ; Liang Qinggang ; Xing Ningning ; Wang Yaolei ; Zhang Xiang

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Beijing Inst. of Technol., Beijing, China
  • fYear
    2012
  • fDate
    14-16 Dec. 2012
  • Firstpage
    511
  • Lastpage
    516
  • Abstract
    Achieving power efficiency is a very critical issue in today´s data centers and other information processing and storage facilities. In this paper we focus on data layout strategies for conserving energy in de-duplication storage systems. We introduce a method to find the least-cost configuration that meets known targets for de-duplication performance (as well as fault-tolerance) while archiving energy efficiency. We have built the Power-Aware De-duplication System (PADS) to reduce energy use of conventional disk based de-duplication storage systems. PADS turns on just enough disk spindles by properly estimating average chunk size, that is, we can modulate the storage disk provision according to the load fluctuation. Simultaneously, by using S-RAID[10] based data layout, disk accesses are concentrated in a part of the disks in a long time which is conducive to scheduling other disks into standby or shutdown mode. Without specialized hardware, the system can still meet performance demands. Our proposed approach reduces energy consumption of de-duplication storage system, makes de-duplication to fully integrated with the underlying storage mechanism.
  • Keywords
    RAID; fault tolerance; power aware computing; PADS; S-RAID-based data layout; average chunk size estimation; de-duplication storage systems; disk scheduling; disk-based de-duplication storage systems; energy aware data layout; energy conservation; energy consumption reduction; energy use reduction; fault-tolerance; least-cost configuration; load fluctuation; power efficiency; power-aware de-duplication system; shutdown mode; standby mode; storage disk spindles; Arrays; Data models; Educational institutions; Energy efficiency; Fingerprint recognition; Layout; Strips; Energy Aware; data de-duplicaiton; data layout;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2012 13th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-4879-1
  • Type

    conf

  • DOI
    10.1109/PDCAT.2012.72
  • Filename
    6589329