An Efficient File System for Hybrid In-Memory NVM and Block Devices

Yuansong Zeng, Edwin H.M. Sha, Qingfeng Zhuge, Xianzhang Chen, Zhulin Ma, Lin Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Emerging Non-Volatile Memory (NVM) technologies are promised to revolutionize storage systems by providing fast, persist data accesses on memory bus. However, the limited capacity of NVM devices calls for multi-layer storage topology that is able to combine fast, expensive NVM with slower, cheaper block devices to harness the characteristics of both technologies. This paper proposes an efficient file system named NBFS for hybrid in-memory NVM and block devices. NBFS can distribute the data pages of a single file to multiple memory nodes in NUMA architecture and multiple block devices. To take full advantages of NVM, NBFS provides a mechanism to migrate file data between NVM and block devices according to the data access features. Besides, we design a resource pool for block devices to minimize additional storage and performance overhead. Experimental results show that in write-intensive workloads, our design performs well and has a high bandwidth.

Original languageEnglish
Title of host publicationProceedings - 7th IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages43-48
Number of pages6
ISBN (Electronic)9781538674031
DOIs
StatePublished - 15 Nov 2018
Event7th IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2018 - Hakodate, Japan
Duration: 28 Aug 201831 Aug 2018

Publication series

NameProceedings - 7th IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2018

Conference

Conference7th IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2018
Country/TerritoryJapan
CityHakodate
Period28/08/1831/08/18

Keywords

  • Hybrid in-memory file system
  • block device
  • data migration
  • e-merging non volatile memory

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