JSTS:Journal of Semiconductor Technology and Science

The Institute of Electronics and Information Engineers (대한전자공학회)
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Optimized Adoption of NVM Storage by Considering Workload Characteristics

  • Kim, Jisun (Department of Computer Science & Engineering, EWHA Womans University) ;
  • Bahn, Hyokyung (Department of Computer Science & Engineering, EWHA Womans University)
  • Received : 2016.10.18
  • Accepted : 2017.01.15
  • Published : 2017.02.28
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Abstract

This paper presents an optimized adoption of NVM for the storage system of heterogeneous applications. Our analysis shows that a bulk of I/O does not happen on a single storage partition, but it is varied significantly for different application categories. In particular, journaling I/O accounts for a dominant portion of total I/O in DB applications like OLTP, whereas swap I/O accounts for a large portion of I/O in graph visualization applications, and file I/O accounts for a large portion in web browsers and multimedia players. Based on these observations, we argue that maximizing the performance gain with NVM is not obtained by fixing it as a specific storage partition but varied widely for different applications. Specifically, for graph visualization, DB, and multimedia player applications, using NVM as a swap, a journal, and a file system partitions, respectively, performs well. Our optimized adoption of NVM improves the storage performance by 10-61%.

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