On-demand block-level address mapping in large-scale NAND flash storage systems

Renhai Chen, Zhiwei Qin, Yi Wang, Duo Liu, Zili Shao, Yong Guan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

45 Citations (Scopus)

Abstract

The density of flash memory chips has doubled every two years in the past decade and the trend is expected to continue. The increasing capacity of NAND flash memory leads to large RAM footprint on address mapping management. This paper proposes a novel Demand-based block-level Address mapping scheme with a two-level Caching mechanism (DAC) for large-scale NAND flash storage systems. The objective is to reduce RAM footprint without excessively compromising system response time. In our technique, the block-level address mapping table is stored in fixed pages (called the translation pages) in the flash memory. Considering temporal locality that workloads exhibit, we maintain one cache in RAM to store the on-demand address mapping entries. Meanwhile, by exploring both spatial locality and access frequency of workloads with another two caches, the second-level cache is designed to cache selected translation pages. In such a way, both the most-frequently-accessed and sequentially accessed address mapping entries can be stored in the cache so the cache hit ratio can be increased and the system response time can be improved. To the best of our knowledge, this is the first work to reduce the RAM cost by employing the demand-based approach on block-level address mapping schemes. The experiments have been conducted on a real embedded platform. The experimental results show that our technique can effectively reduce the RAM footprint while maintaining similar average system response time compared with previous work.
Original languageEnglish
Article number6827959
Pages (from-to)1729-1741
Number of pages13
JournalIEEE Transactions on Computers
Volume64
Issue number6
DOIs
Publication statusPublished - 1 Jun 2015

Keywords

  • block-level mapping
  • NAND flash memory
  • on demand
  • storage management
  • two-level cache

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computational Theory and Mathematics

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