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Adaptive Sequential Prefetching for Multiple Streams

  • Yong Li
  • Dan Feng
  • Zhan Shi
  • Qing Liu
Conference paper
  • 1.3k Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7901)

Abstract

Modern storage systems are becoming increasingly consolidated. As a result, there exists a competition for resources among concurrent streams. Sequential prefetching is widely used in modern storage system. Most of them always ignore the impact of diversified access rate of concurrent streams. However the concurrent streams with diversified access rate will introduce several problems. The streams with fast access rate may evict the cache blocks of the streams with slow access rate and lead the slow streams re-fetch the evicted cache blocks in future access, which makes the prefetching wastage and unfairness to the slow streams. We design and implement a novel, adaptive algorithm, named ASPM to solve these problems. Our experiments show that, compared with LRU and AMP, ASPM can achieve significantly improvement in fairness among concurrent streams and slightly in performance (average on 6.8%).

Keywords

sequential prefetching adaptive storage system 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Yong Li
    • 1
  • Dan Feng
    • 1
  • Zhan Shi
    • 1
  • Qing Liu
    • 1
  1. 1.School of Computer, Division of Data Storage System, Wuhan National Lab for OptoelectronicsHuazhong University of Science and TechnologyWuhanChina

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