Pipette : Efficient Fine-Grained Reads for SSDs

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Detail(s)

Original languageEnglish
Pages (from-to)4721-4734
Journal / PublicationIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Volume42
Issue number12
Online published15 May 2023
Publication statusPublished - Dec 2023

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Abstract

Big data applications, such as recommendation system and social network, often generate a huge number of fine-grained reads to the storage. Block-oriented storage devices upon the traditional storage system rely on the paging mechanism to migrate pages to the host DRAM, tending to suffer from these fine-grained read operations in terms of I/O traffic as well as performance. Motivated by this challenge, an efficient fine-grained read framework, Pipette, is proposed in this paper as an extension to the traditional I/O framework. With adaptive design for caching, merging and scheduling, Pipette explores locality and acceleration for fine-grained read requests to establish an efficient byte-granular read path upon the dedicated byte-addressable interface. When the Pipette prototype on an SSD runs popular workloads, we measured throughput gains by up to 50% and 54% with traffic reduction in the range of 41.3× and 56.5×. © 2023 IEEE.

Research Area(s)

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

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