Pipette : Efficient Fine-Grained Reads for SSDs

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationDAC '22
Subtitle of host publicationProceedings of the 59th ACM/IEEE Design Automation Conference
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery
Pages385–390
ISBN (Print)978-1-4503-9142-9
Publication statusPublished - Jul 2022

Conference

Title59th Design Automation Conference, DAC 2022
LocationMoscone West Center
PlaceUnited States
CitySan Francisco
Period10 - 14 July 2022

Link(s)

Abstract

Big data applications, such as recommendation systems and social networks, often generate a huge number of fine-grained reads to the storage. Block-oriented storage devices tend to suffer from these fine-grained read operations in terms of I/O traffic as well as performance. Motivated by this challenge, a fine-grained read framework, Pipette, is proposed in this paper, as an extension to the traditional I/O framework. With an adaptive caching design, the proposed Pipette framework offers tremendous reduction in I/O traffics as well as achieves significant performance gain. A Pipette prototype was implemented with Ext4 file system on an SSD for two real-world applications, where the I/O throughput is improved by 31.6% and 33.5%, and the I/O traffic is reduced by 95.6% and 93.6%, respectively.

Research Area(s)

  • file system, solid-state drive, fine-grained reads

Bibliographic Note

Research Unit(s) information for this publication is provided by the author(s) concerned.

Citation Format(s)

Pipette: Efficient Fine-Grained Reads for SSDs. / Bai, Shuhan; Wan, Hu; Huang, Yun et al.
DAC '22: Proceedings of the 59th ACM/IEEE Design Automation Conference. New York, NY: Association for Computing Machinery, 2022. p. 385–390.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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