SSD-based Workload Characteristics and Their Performance Implications

G. Yadgar, Moshe Gabel, Shehbaz Jaffer, Bianca Schroeder
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引用次数: 47

Abstract

Storage systems are designed and optimized relying on wisdom derived from analysis studies of file-system and block-level workloads. However, while SSDs are becoming a dominant building block in many storage systems, their design continues to build on knowledge derived from analysis targeted at hard disk optimization. Though still valuable, it does not cover important aspects relevant for SSD performance. In a sense, we are “searching under the streetlight,” possibly missing important opportunities for optimizing storage system design. We present the first I/O workload analysis designed with SSDs in mind. We characterize traces from four repositories and examine their “temperature” ranges, sensitivity to page size, and “logical locality.” We then take the first step towards correlating these characteristics with three standard performance metrics: write amplification, read amplification, and flash read costs. Our results show that SSD-specific characteristics strongly affect performance, often in surprising ways.
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基于ssd的工作负载特征及其性能影响
存储系统的设计和优化依赖于从文件系统和块级工作负载的分析研究中获得的智慧。然而,虽然ssd正在成为许多存储系统的主要组成部分,但它们的设计仍然基于针对硬盘优化的分析得出的知识。虽然仍然很有价值,但它没有涵盖与SSD性能相关的重要方面。从某种意义上说,我们正在“路灯下搜索”,可能错过了优化存储系统设计的重要机会。我们提出了第一个考虑到ssd而设计的I/O工作负载分析。我们描述来自四个存储库的跟踪,并检查它们的“温度”范围、对页面大小的敏感性和“逻辑位置”。然后,我们采取第一步,将这些特征与三个标准性能指标相关联:写放大、读放大和闪存读取成本。我们的结果表明,特定于ssd的特性会以令人惊讶的方式强烈影响性能。
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