Reptail: Cutting Storage Tail Latency with Inherent Redundancy
Journal
Proceedings - Design Automation Conference
Journal Volume
2021-December
Pages
595-600
Date Issued
2021
Author(s)
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. ? 2021 IEEE.
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. © 2021 IEEE.
Subjects
Digital storage
Redundancy
Co-designs
Critical edges
Data edges
Data safeties
Edge server
Filesystem
Inherent redundancy
Low latency
Mission critical
Transactional systems
Semantics
SDGs
Type
conference paper