{"title":"有关 Petascale 全闪存存储系统性能可扩展性的经验架构分析","authors":"Mohammadamin Ajdari;Behrang Montazerzohour;Kimia Abdi;Hossein Asadi","doi":"10.1109/LCA.2024.3418874","DOIUrl":null,"url":null,"abstract":"In this paper, we \n<italic>first</i>\n analyze a real storage system consisting of 72 SSDs utilizing either \n<italic>Hardware RAID</i>\n (HW-RAID) or \n<italic>Software RAID</i>\n (SW-RAID), and show that SW-RAID is up to 7× faster. We then reveal that with an increasing number of SSDs, the limited I/O parallelism in SAS controllers and multi-enclosure handshaking overheads cause a significant performance drop, minimizing the total \n<italic>I/O Per Second</i>\n (IOPS) of a 144-SSD system to less than a single SSD. \n<italic>Second</i>\n, we disclose the most important architectural parameters that affect a large-scale storage system. \n<italic>Third</i>\n, we propose a framework that models a large-scale storage system and estimates the system IOPS and system resource usage for various architectures. We verify our framework against a real system and show its high accuracy. \n<italic>Lastly</i>\n, we analyze a use case of a 240-SSD system and reveal how our framework guides architects in storage system scaling.","PeriodicalId":51248,"journal":{"name":"IEEE Computer Architecture Letters","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Empirical Architectural Analysis on Performance Scalability of Petascale All-Flash Storage Systems\",\"authors\":\"Mohammadamin Ajdari;Behrang Montazerzohour;Kimia Abdi;Hossein Asadi\",\"doi\":\"10.1109/LCA.2024.3418874\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we \\n<italic>first</i>\\n analyze a real storage system consisting of 72 SSDs utilizing either \\n<italic>Hardware RAID</i>\\n (HW-RAID) or \\n<italic>Software RAID</i>\\n (SW-RAID), and show that SW-RAID is up to 7× faster. We then reveal that with an increasing number of SSDs, the limited I/O parallelism in SAS controllers and multi-enclosure handshaking overheads cause a significant performance drop, minimizing the total \\n<italic>I/O Per Second</i>\\n (IOPS) of a 144-SSD system to less than a single SSD. \\n<italic>Second</i>\\n, we disclose the most important architectural parameters that affect a large-scale storage system. \\n<italic>Third</i>\\n, we propose a framework that models a large-scale storage system and estimates the system IOPS and system resource usage for various architectures. We verify our framework against a real system and show its high accuracy. \\n<italic>Lastly</i>\\n, we analyze a use case of a 240-SSD system and reveal how our framework guides architects in storage system scaling.\",\"PeriodicalId\":51248,\"journal\":{\"name\":\"IEEE Computer Architecture Letters\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2024-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Computer Architecture Letters\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10571374/\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Computer Architecture Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10571374/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
Empirical Architectural Analysis on Performance Scalability of Petascale All-Flash Storage Systems
In this paper, we
first
analyze a real storage system consisting of 72 SSDs utilizing either
Hardware RAID
(HW-RAID) or
Software RAID
(SW-RAID), and show that SW-RAID is up to 7× faster. We then reveal that with an increasing number of SSDs, the limited I/O parallelism in SAS controllers and multi-enclosure handshaking overheads cause a significant performance drop, minimizing the total
I/O Per Second
(IOPS) of a 144-SSD system to less than a single SSD.
Second
, we disclose the most important architectural parameters that affect a large-scale storage system.
Third
, we propose a framework that models a large-scale storage system and estimates the system IOPS and system resource usage for various architectures. We verify our framework against a real system and show its high accuracy.
Lastly
, we analyze a use case of a 240-SSD system and reveal how our framework guides architects in storage system scaling.
期刊介绍：
IEEE Computer Architecture Letters is a rigorously peer-reviewed forum for publishing early, high-impact results in the areas of uni- and multiprocessor computer systems, computer architecture, microarchitecture, workload characterization, performance evaluation and simulation techniques, and power-aware computing. Submissions are welcomed on any topic in computer architecture, especially but not limited to: microprocessor and multiprocessor systems, microarchitecture and ILP processors, workload characterization, performance evaluation and simulation techniques, compiler-hardware and operating system-hardware interactions, interconnect architectures, memory and cache systems, power and thermal issues at the architecture level, I/O architectures and techniques, independent validation of previously published results, analysis of unsuccessful techniques, domain-specific processor architectures (e.g., embedded, graphics, network, etc.), real-time and high-availability architectures, reconfigurable systems.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
