Reptail: Cutting Storage Tail Latency with Inherent Redundancy

Yun Chih Chen, Chun Feng Wu, Yuan Hao Chang, Tei Wei Kuo

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

3 Scopus citations

Abstract

Mission-critical edge applications require both low latency and strict data safety. Although emerging ultra-dense solid-state drives (SSDs) can extend the amount of data edge servers can process, the reduced parallelism can worsen read tail latency and even violate the deadline of mission-critical edge applications. To cut ultra-dense SSDs' read tail latency, we propose Reptail, a co-design of host OS and SSD, that exploits the inherent redundancy in transactional systems. We use journaling file system to show how exposing SSD's internals to host OS's redundancy semantics can improve its read scheduling, thus reducing read tail latency. We evaluate Reptail with diverse workloads and find more than 20% latency improvements in the 95th and 99th percentile.

Original languageEnglish
Title of host publication2021 58th ACM/IEEE Design Automation Conference, DAC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages595-600
Number of pages6
ISBN (Electronic)9781665432740
DOIs
StatePublished - 5 Dec 2021
Event58th ACM/IEEE Design Automation Conference, DAC 2021 - San Francisco, United States
Duration: 5 Dec 20219 Dec 2021

Publication series

NameProceedings - Design Automation Conference
Volume2021-December
ISSN (Print)0738-100X

Conference

Conference58th ACM/IEEE Design Automation Conference, DAC 2021
Country/TerritoryUnited States
CitySan Francisco
Period5/12/219/12/21

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