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Implementation of the Aggregated R-Tree over Flash Memory

机译:闪存上聚合R树的实现

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摘要

Flash memory becomes the very popular storage device. Almost every kind of hand-held devices use flash memory because of its shock - resistance, power economy and non-volatile nature. Recently more attention has been paid to the data storage in flash memory. Due lo the different architecture, the implementation of the B-tree and R-tree indexes on the solid discs cannot be applied to flash memory directly. In this paper we propose the efficient implementation of the aggregated R-tree index. In our approach we separate the R-tree meta data and the aggregated data into different sectors of flash memory. We also calculate the number of read and write operations and compare it with the standard R-tree implementation. Our proposition is particularly effective, since the R-tree structure is quite stable and the aggregated values change frequently. The experiments confirm the effectiveness of our implementations.
机译:闪存成为非常流行的存储设备。由于其耐冲击,省电和非易失性,几乎每种手持设备都使用闪存。最近,人们更加关注闪存中的数据存储。由于体系结构不同,固态磁盘上的B树和R树索引的实现无法直接应用于闪存。在本文中,我们提出了聚合R树索引的有效实现。在我们的方法中,我们将R树元数据和聚合数据分离到闪存的不同扇区中。我们还计算了读取和写入操作的数量,并将其与标准R-tree实现进行比较。我们的建议特别有效,因为R树结构非常稳定,并且汇总值经常变化。实验证实了我们实施的有效性。

著录项

  • 来源
  • 会议地点 Busan(KR);Busan(KR);Busan(KR);Busan(KR);Busan(KR);Busan(KR);Busan(KR);Busan(KR);Busan(KR);Busan(KR);Busan(KR);Busan(KR)
  • 作者

    Maciej Pawlik; Wojciech Macyna;

  • 作者单位

    Institute of Mathematics and Computer Science Wroclaw University of Technology Poland;

    Institute of Mathematics and Computer Science Wroclaw University of Technology Poland;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 TP311.13;TP311.13;
  • 关键词

    flash memory; aggregated values; Ar-tree;

    机译:闪存汇总值;树;

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