• DocumentCode
    3740628
  • Title

    2QW-Clock: An Efficient SSD Buffer Management Algorithm

  • Author

    Dan He;Fang Wang;Dan Feng;Jing Ning Liu;Yun Xiang Wu;Yang Hu;Ying He

  • Author_Institution
    Wuhan Nat. Lab. for Optoelectron., Wuhan, China
  • fYear
    2015
  • Firstpage
    47
  • Lastpage
    53
  • Abstract
    Modern solid state disk (SSD) has a buffer (SDRAM), which is used to store commonly used data and map in the near future. How to efficient management of this buffer is an important things of improving performance of SSD. Flash read and write speed have asymmetric characteristic. SSD buffer management algorithms must consider this characteristic of flash. Current page mapping SSD buffer management algorithms mainly use the Clean-First LRU (CFLRU) algorithm to first replace the clean buffer pages regardless of whether these pages will soon be used in the near future. At the same time, LRU buffer management algorithm of SSD does not consider file scanning. In order to solve these problems, we proposes a new SSD internal buffer management algorithm, called Two Queue Weight-Clock (2QW-Clock). This algorithm combines the advantages of 2Q and gives different weights to read page and write page to reflect the asymmetry of flash read and write speed. Therefore, it can get high write page hit ratios while maintaining high total page hit ratios. With the high write ratios, 2QW-Clock reduces the numbers of SSD write and erase operations. So it can greatly extend the life of the SSD. Conducting simulations with a variety of traces and a wide range of buffer sizes, we show that 2QW-Clock write hit ratios are significantly higher than CFLRU, LRU and 2Q in most cases while total hit ratios are almost as the 2Q. Simulation result shows that the numbers of 2QW-Clock write and erase counts reduced by up to 30% less than that of 2Q and CFLRU.
  • Keywords
    "Algorithm design and analysis","Solids","Flash memories","SDRAM","Buffer storage","Operating systems","Clocks"
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing (HiPC), 2015 IEEE 22nd International Conference on
  • Type

    conf

  • DOI
    10.1109/HiPC.2015.21
  • Filename
    7397618