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Data I/O Optimization in Storage Systems

  • Di Wang
  • Ji-wu Shu
  • Meiming Shen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3252)

Abstract

One of the most effective ways to improve the I/O performance of a storage system is to enhance the hard disk’s read/write ability. We used an I/O processing node in the storage network to optimize data organization and I/O performance. By analyzing existing algorithms and different requirements for read and write operations, we designed an improved optimizing algorithm to schedule disk I/O requests. It selects the closest request in queue to process first, and uses an EW mechanism to modify write locations. Typically, the algorithm can reduce a disk’s average response time by about 15%-17%. This paper also presents an EW stripe and copy algorithm that can improve I/O performance using parallel disk accesses, and enhance reliability by data duplication. With one copy preserved, it can reduce the response time by about 30%.

Keywords

Schedule Algorithm Storage System Average Response Time Disk Array Read Request 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Di Wang
    • 1
  • Ji-wu Shu
    • 1
  • Meiming Shen
    • 1
  1. 1.Department of Computer Science and TechnologyTsinghua UniversityBeijingChina

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