作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2008, Vol. 34 ›› Issue (22): 60-62. doi: 10.3969/j.issn.1000-3428.2008.22.021

• 软件技术与数据库 • 上一篇    下一篇

大容量闪存的层次型热数据识别框架

黄 滨,俞建新   

  1. (南京大学计算机软件新技术国家重点实验室,南京 210093)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-11-20 发布日期:2008-11-20

Framework of Hierarchical Hot Data Identification for Large-scale Flash Memory

HUANG Bin, YU Jian-xin   

  1. (State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-11-20 Published:2008-11-20

摘要: 热数据识别对于提高闪存垃圾回收的效率、延长闪存寿命都有重要的作用。针对大数据量下热数据识别难的情况,该文提出一种层次型热数据识别框架,采用在多个层次上记录热数据的方法。实验证明,该框架能够在消耗较少资源的情况下,识别和预测出大数据量中的热数据。

关键词: 闪存, 热数据识别, 大容量

Abstract: Improving the efficiency of flash memory garbage collection and prolonging the life time of flash-memory can be achieved by finding out hot data. A framework of hierarchical hot data identification is proposed, which can find out hot data from large data set by recording the hot data information at several different levels. Experimental result shows this method can identify and predict hot data from large data set with restricted resources.

Key words: flash memory, hot data identification, large-scale

中图分类号: