• DocumentCode
    2537896
  • Title

    Adaptive energy-aware design of a multi-bank flash-memory storage system

  • Author

    Du, Yehua ; Cai, Ming ; Dong, Jinxiang

  • Author_Institution
    Inst. of Artificial Intelligence, Zhejiang Univ., China
  • fYear
    2005
  • fDate
    17-19 Aug. 2005
  • Firstpage
    311
  • Lastpage
    316
  • Abstract
    An architectural solution to reducing energy consumption of flash-memory storage system is to take advantage of a multi-bank architecture instead of a single-bank one. Thus, allowing unused banks to be placed into low-power operating modes can help reduce energy. In this paper, an adaptive energy-aware bank assignment policy is proposed to cluster data with temporal affinity into the same bank, increasing the number of banks put into low-power modes. Then we propose an energy-aware garbage collection policy, which could keep banks in idle conditions for long durations of time to compensate for resynchronization penalties. Experiments over the prototype show the effectiveness of these policies and indicate that large energy savings can be achieved with low overhead.
  • Keywords
    flash memories; storage management; adaptive energy-aware bank assignment; energy consumption reduction; energy-aware garbage collection; multibank flash-memory storage system; Artificial intelligence; Degradation; Delay; Embedded system; Energy consumption; Energy resolution; Energy storage; Nonvolatile memory; Power system reliability; Prototypes; embedded system; energy-aware; flash-memory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded and Real-Time Computing Systems and Applications, 2005. Proceedings. 11th IEEE International Conference on
  • ISSN
    1533-2306
  • Print_ISBN
    0-7695-2346-3
  • Type

    conf

  • DOI
    10.1109/RTCSA.2005.18
  • Filename
    1541100