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On Computational Models for Flash Memory Devices

  • Deepak Ajwani
  • Andreas Beckmann
  • Riko Jacob
  • Ulrich Meyer
  • Gabriel Moruz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5526)

Abstract

Flash memory-based solid-state disks are fast becoming the dominant form of end-user storage devices, partly even replacing the traditional hard-disks. Existing two-level memory hierarchy models fail to realize the full potential of flash-based storage devices. We propose two new computation models, the general flash model and the unit-cost model, for memory hierarchies involving these devices. Our models are simple enough for meaningful algorithm design and analysis. In particular, we show that a broad range of existing external-memory algorithms and data structures based on the merging paradigm can be adapted efficiently into the unit-cost model. Our experiments show that the theoretical analysis of algorithms on our models corresponds to the empirical behavior of algorithms when using solid-state disks as external memory.

Keywords

Block Size Priority Queue External Memory Internal Memory Sparse Graph 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Deepak Ajwani
    • 1
  • Andreas Beckmann
    • 2
  • Riko Jacob
    • 3
  • Ulrich Meyer
    • 2
  • Gabriel Moruz
    • 2
  1. 1.Department of Computer ScienceAarhus UniversityDenmark
  2. 2.Institut für InformatikGoethe-Universität Frankfurt am MainGermany
  3. 3.Computer Science DepartmentTU MünchenGermany

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