Linxiao Bai , Shanshan Li , Zhouyang Jia , Yu Jiang , Yuanliang Zhang , Zichen Xu , Bin Lin , Si Zheng , Xiangke Liao
{"title":"μScope: Evaluating storage stack robustness against SSD’s latency variation","authors":"Linxiao Bai , Shanshan Li , Zhouyang Jia , Yu Jiang , Yuanliang Zhang , Zichen Xu , Bin Lin , Si Zheng , Xiangke Liao","doi":"10.1016/j.sysarc.2025.103405","DOIUrl":null,"url":null,"abstract":"<div><div>The rapid development of Solid State Disks (SSDs) drastically reduces device latency from <span><math><mrow><mn>100</mn><mspace></mspace><mi>μ</mi><mi>s</mi></mrow></math></span> to around <span><math><mrow><mn>10</mn><mspace></mspace><mi>μ</mi><mi>s</mi></mrow></math></span>. However, performance advertised is not always performance delivered. Background operations (e.g., garbage collection and wear leveling) inside the SSDs now may severely influence the performance. In addition, SSDs are also susceptible to fail-slow failures. Traditionally, studying SSD-based stack focuses on understanding the SSD internal behaviors or discussing the impacts of software stack on throughput.</div><div>In this paper, we conduct an extensive study on software stack atop the low-latency SSDs, especially under device latency variations. We build <span><math><mi>μ</mi></math></span>Scope to overcome two major challenges, including achieving fine-grained latency injection and low-overhead monitoring, in profiling. Via <span><math><mi>μ</mi></math></span>Scope, we manage to obtain three major lessons in access patterns, consistency trade-offs and consecutive performance variations which shall benefit developers for further optimizations.</div></div>","PeriodicalId":50027,"journal":{"name":"Journal of Systems Architecture","volume":"164 ","pages":"Article 103405"},"PeriodicalIF":3.7000,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Systems Architecture","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1383762125000773","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
The rapid development of Solid State Disks (SSDs) drastically reduces device latency from to around . However, performance advertised is not always performance delivered. Background operations (e.g., garbage collection and wear leveling) inside the SSDs now may severely influence the performance. In addition, SSDs are also susceptible to fail-slow failures. Traditionally, studying SSD-based stack focuses on understanding the SSD internal behaviors or discussing the impacts of software stack on throughput.
In this paper, we conduct an extensive study on software stack atop the low-latency SSDs, especially under device latency variations. We build Scope to overcome two major challenges, including achieving fine-grained latency injection and low-overhead monitoring, in profiling. Via Scope, we manage to obtain three major lessons in access patterns, consistency trade-offs and consecutive performance variations which shall benefit developers for further optimizations.
期刊介绍:
The Journal of Systems Architecture: Embedded Software Design (JSA) is a journal covering all design and architectural aspects related to embedded systems and software. It ranges from the microarchitecture level via the system software level up to the application-specific architecture level. Aspects such as real-time systems, operating systems, FPGA programming, programming languages, communications (limited to analysis and the software stack), mobile systems, parallel and distributed architectures as well as additional subjects in the computer and system architecture area will fall within the scope of this journal. Technology will not be a main focus, but its use and relevance to particular designs will be. Case studies are welcome but must contribute more than just a design for a particular piece of software.
Design automation of such systems including methodologies, techniques and tools for their design as well as novel designs of software components fall within the scope of this journal. Novel applications that use embedded systems are also central in this journal. While hardware is not a part of this journal hardware/software co-design methods that consider interplay between software and hardware components with and emphasis on software are also relevant here.