Realizing Strong Determinism Contract on Log-Structured Merge Key-Value Stores

IF 2.1 3区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE ACM Transactions on Storage Pub Date : 2023-03-25 DOI:https://dl.acm.org/doi/10.1145/3582695
Miryeong Kwon, Seungjun Lee, Hyunkyu Choi, Jooyoung Hwang, Myoungsoo Jung
{"title":"Realizing Strong Determinism Contract on Log-Structured Merge Key-Value Stores","authors":"Miryeong Kwon, Seungjun Lee, Hyunkyu Choi, Jooyoung Hwang, Myoungsoo Jung","doi":"https://dl.acm.org/doi/10.1145/3582695","DOIUrl":null,"url":null,"abstract":"<p>We propose <i>Vigil-KV</i>, a hardware and software co-designed framework that eliminates long-tail latency almost perfectly by introducing strong latency determinism. To make Get latency deterministic, Vigil-KV first enables a predictable latency mode (PLM) interface on a real datacenter-scale NVMe SSD, having knowledge about the nature of the underlying flash technologies. Vigil-KV at the system-level then hides the non-deterministic time window (associated with SSD’s internal tasks and/or write services) by internally scheduling the different device states of PLM across multiple physical functions. Vigil-KV further schedules compaction/flush operations and client requests being aware of PLM’s restrictions thereby integrating strong latency determinism into LSM KVs. We implement Vigil-KV upon a 1.92TB NVMe SSD prototype and Linux 4.19.91, but other LSM KVs can adopt its concept. We evaluate diverse Facebook and Yahoo scenarios with Vigil-KV, and the results show that Vigil-KV can reducethe tail latency of a baseline KV system by 3.19× while reducing the average latency by 34%, on average.</p>","PeriodicalId":49113,"journal":{"name":"ACM Transactions on Storage","volume":"20 8","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2023-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Storage","FirstCategoryId":"94","ListUrlMain":"https://doi.org/https://dl.acm.org/doi/10.1145/3582695","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0

Abstract

We propose Vigil-KV, a hardware and software co-designed framework that eliminates long-tail latency almost perfectly by introducing strong latency determinism. To make Get latency deterministic, Vigil-KV first enables a predictable latency mode (PLM) interface on a real datacenter-scale NVMe SSD, having knowledge about the nature of the underlying flash technologies. Vigil-KV at the system-level then hides the non-deterministic time window (associated with SSD’s internal tasks and/or write services) by internally scheduling the different device states of PLM across multiple physical functions. Vigil-KV further schedules compaction/flush operations and client requests being aware of PLM’s restrictions thereby integrating strong latency determinism into LSM KVs. We implement Vigil-KV upon a 1.92TB NVMe SSD prototype and Linux 4.19.91, but other LSM KVs can adopt its concept. We evaluate diverse Facebook and Yahoo scenarios with Vigil-KV, and the results show that Vigil-KV can reducethe tail latency of a baseline KV system by 3.19× while reducing the average latency by 34%, on average.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
日志结构合并键值存储的强确定性契约实现
我们提出了Vigil-KV,这是一个硬件和软件协同设计的框架,通过引入强延迟确定性,几乎完美地消除了长尾延迟。为了使Get延迟具有确定性,Vigil-KV首先在真正的数据中心规模的NVMe SSD上启用可预测的延迟模式(PLM)接口,了解底层闪存技术的本质。然后,系统级的Vigil-KV通过内部调度PLM跨多个物理功能的不同设备状态来隐藏非确定性时间窗口(与SSD的内部任务和/或写服务相关)。Vigil-KV进一步调度压缩/刷新操作和客户端请求,了解PLM的限制,从而将强延迟确定性集成到LSM kv中。我们在1.92TB NVMe SSD原型和Linux 4.19.91上实现了Vigil-KV,但其他LSM kv可以采用它的概念。我们使用Vigil-KV对Facebook和Yahoo的不同场景进行了评估,结果表明Vigil-KV可以将基线KV系统的尾部延迟减少3.19倍,平均延迟减少34%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
ACM Transactions on Storage
ACM Transactions on Storage COMPUTER SCIENCE, HARDWARE & ARCHITECTURE-COMPUTER SCIENCE, SOFTWARE ENGINEERING
CiteScore
4.20
自引率
5.90%
发文量
33
审稿时长
>12 weeks
期刊介绍: The ACM Transactions on Storage (TOS) is a new journal with an intent to publish original archival papers in the area of storage and closely related disciplines. Articles that appear in TOS will tend either to present new techniques and concepts or to report novel experiences and experiments with practical systems. Storage is a broad and multidisciplinary area that comprises of network protocols, resource management, data backup, replication, recovery, devices, security, and theory of data coding, densities, and low-power. Potential synergies among these fields are expected to open up new research directions.
期刊最新文献
LVMT: An Efficient Authenticated Storage for Blockchain The Design of Fast Delta Encoding for Delta Compression Based Storage Systems A Memory-Disaggregated Radix Tree Fastmove: A Comprehensive Study of On-Chip DMA and its Demonstration for Accelerating Data Movement in NVM-based Storage Systems FSDedup: Feature-Aware and Selective Deduplication for Improving Performance of Encrypted Non-Volatile Main Memory
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1