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PAHDFS: Preference-Aware HDFS for Hybrid Storage

  • Wei Zhou
  • Dan Feng
  • Zhipeng TanEmail author
  • Yingfei Zheng
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9529)

Abstract

In order to satisfy requirements of real-time processing and large capacity put forwarded by big data, hybrid storage has become a trend. There’s asymmetric read/write performance for storage devices, and asymmetric read/write access characteristics for data. Data may obtain different access performance on the same device due to access characteristics waving, and the most suitable device of data may also change at different time points. As data prefer to reside on device on which they can obtain higher access performance, this paper distributes data on device with highest preference degree to improve performance and efficiency of whole storage system. A Preference-Aware HDFS (PAHDFS) with high efficiency and scalability is implemented. PAHDFS shows good performance in experiments.

Keywords

Hybrid storage HDFS Big data Preference-aware Access characteristics 

Notes

Acknowledgments

This work is supported by National Basic Research 973 Program of China under Grant No. 2011CB302301, National University’s Special Research Fee No. 2015XJGH010, NSFC No. 61173043.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Wei Zhou
    • 1
  • Dan Feng
    • 1
  • Zhipeng Tan
    • 1
    Email author
  • Yingfei Zheng
    • 1
  1. 1.School of Computer Science and Technology, Wuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhanChina

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