Exploring performance characteristics of the optane 3D xpoint storage technology

Jinfeng Yang, L. I. Bingzhe, David J. Lilja

Research output: Contribution to journalArticlepeer-review

Abstract

Intel's Optane solid-state nonvolatile storage device is constructed using their new 3D Xpoint technology. Although it is claimed that this technology can deliver substantial performance improvements compared to NAND-based storage systems, its performance characteristics have not been well studied. In this study, intensive experiments and measurements have been carried out to extract the intrinsic performance characteristics of the Optane SSD, including the basic I/O performance behavior, advanced interleaving technology, performance consistency under a highly intensive I/O workload, influence of unaligned request size, elimination of write-driven garbage collection, read disturb issues, and tail latency problem. The performance is compared to that of a conventional NAND SSD to indicate the performance difference of the Optane SSD in each scenario. In addition, by using TPC-H, a read-intensive benchmark, a database system's performance has been studied on our target storage devices to quantify the potential benefits of the Optane SSD to a real application. Finally, the performance impact of hybrid Optane and NAND SSD storage systems on a database application has been investigated.

Original languageEnglish (US)
Article number4
JournalACM Transactions on Modeling and Performance Evaluation of Computing Systems
Volume5
Issue number1
DOIs
StatePublished - Feb 2020

Bibliographical note

Funding Information:
This work was supported in part by the Center for Research in Intelligent Storage (CRIS), which is supported by National Science Foundation grant no. IIP-1439622 and member companies. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.

Funding Information:
This work was supported in part by the Center for Research in Intelligent Storage (CRIS), which is supported by National Science Foundation grant no. IIP-1439622 and member companies. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF. Authors’ addresses: J. Yang, B. Li, and D. J. Lilja, Department of Electrical and Computer Engineering, University of Minnesota, 200 Union Street SE, Minneapolis, MN 55455, USA; emails: {yang3116, lixx1743, lilja}@umn.edu. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. © 2020 Copyright held by the owner/author(s). Publication rights licensed to ACM. 2376-3639/2020/02-ART4 $15.00 https://doi.org/10.1145/3372783

Publisher Copyright:
© 2020 Copyright held by the owner/author(s). Publication rights licensed to ACM.

Keywords

  • 3D Xpoint memory
  • NAND SSD
  • Nonvolatile memory
  • Optane SSD
  • Performance evaluation
  • Relational database management system
  • Solid-state drive

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