• DocumentCode
    1448468
  • Title

    Efficient Data Migration to Conserve Energy in Streaming Media Storage Systems

  • Author

    Chai, Yunpeng ; Du, Zhihui ; Bader, David A. ; Qin, Xiao

  • Author_Institution
    Key Lab. of Data Eng. & Knowledge Eng. of Minist. of Educ., Renmin Univ. of China, Beijing, China
  • Volume
    23
  • Issue
    11
  • fYear
    2012
  • Firstpage
    2081
  • Lastpage
    2093
  • Abstract
    Reducing energy consumption has been an important design issue for large-scale streaming media storage systems. Existing energy conservation techniques are inadequate to achieve high energy efficiency for streaming media computing environments due to high data migration overhead. To address this problem, we propose in this paper a new energy-efficient method called Explicit Energy Saving Disk Cooling or EESDC. EESDC significantly reduces data migration overhead because of two reasons. First, a set of disks referred to Explicit Energy Saving Disks (EESD) is explicitly fixed according to temporal system load. Second, all the migrated data in EESDC directly contribute on extending the idle time of EESD to conserve more energy efficiently. Therefore, the EESDC method is conducive to saving more energy by quickly achieving energy-efficient data layouts without unnecessary data migrations. We implement EESDC in a simulated disk system, which is validated against a prototype system powered by our EESDC. Our experimental results using both real-world traces and synthetic traces show that EESDC can save up to 28.13-29.33 percent energy consumption for typical streaming media traces. Energy efficiency of streaming media storage systems can be improved by 3.3-6.0 times when EESDC is coupled.
  • Keywords
    cooling; disc storage; energy conservation; media streaming; EESDC; data migration overhead; energy conservation; energy consumption reduction; energy efficiency; energy-efficient data layouts; explicit energy saving disk cooling; large-scale streaming media storage systems; simulated disk system; synthetic traces; Algorithm design and analysis; Distributed databases; Energy efficiency; Layout; Quality of service; Streaming media; Videos; Energy conservation; data layout; data migration; storage; streaming media;
  • fLanguage
    English
  • Journal_Title
    Parallel and Distributed Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9219
  • Type

    jour

  • DOI
    10.1109/TPDS.2012.63
  • Filename
    6152090