Efficient data migration to conserve energy in streaming media storage systems

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

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


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.

Original languageEnglish (US)
Article number6152090
Pages (from-to)2081-2093
Number of pages13
JournalIEEE Transactions on Parallel and Distributed Systems
Issue number11
StatePublished - 2012
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Hardware and Architecture
  • Computational Theory and Mathematics


  • Energy conservation
  • data layout
  • data migration
  • storage
  • streaming media


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