Chen Y.-CWu C.-FChang Y.-HTEI-WEI KUO2022-04-252022-04-2520210738100Xhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85119401713&doi=10.1109%2fDAC18074.2021.9586218&partnerID=40&md5=644363a40553e32723f8968f5b531350https://scholars.lib.ntu.edu.tw/handle/123456789/607466Mission-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.Digital storageRedundancyCo-designsCritical edgesData edgesData safetiesEdge serverFilesystemInherent redundancyLow latencyMission criticalTransactional systemsSemantics[SDGs]SDG11Reptail: Cutting Storage Tail Latency with Inherent Redundancyconference paper10.1109/DAC18074.2021.95862182-s2.0-85119401713