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Hybrid drive design: An economics - workload based approach

机译:混合驱动器设计:一种基于经济学的工作量方法

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摘要

Broader availability of solid state storage devices (SSD) enables an opportunity to improve the performance of the storage architectures. However, it not clear how exactly this development should proceed in terms of achieving greater cost-performance balance. Designers will benefit from a data-driven approach to understand how much SSD they should invest in to realize the most cost effective system.;This paper presents an analysis of actual workloads to deduce and derive guidance for an optimal investment strategy to balance the solid state and hard disk drive (HDD) to achieve the best cost and performance trade-offs. We show that while it is possible to determine this balance, it is heavily application dependent. For the workloads we studied, under certain assumptions, the preferred proportion of SSD varies from 8% to 60% for an 80% improvement in I/O performance (measured in terms of hits in SSD) compared to totally magnetic disks.;Further, we also propose three replacement strategies to keep the most accessed data in SSD. This replacement is determined using the past usage data. The goal is to make the best use of the available SSD, while minimizing the number of replacements. Our Simulation results shows that the best of our strategies provide 60% to 90% performance improvement compared to totally HDD across different workloads.
机译:固态存储设备(SSD)的更广泛的可用性为改善存储体系结构的性能提供了机会。但是,尚不清楚在实现更大的性价比之间的平衡方面,这种发展应该如何进行。设计人员将从数据驱动的方法中受益,以了解他们应该投资多少SSD以实现最具成本效益的系统。本文对实际工作量进行了分析,以得出并得出最佳的投资策略以平衡固态状态。和硬盘驱动器(HDD)来实现最佳的成本和性能折衷。我们表明,虽然可以确定这种平衡,但它在很大程度上取决于应用程序。对于我们研究的工作负载,在某些假设下,与全磁盘相比,I / O性能的最佳百分比从8%到60%不等,I / O性能(按SSD的命中率衡量)提高了80%。我们还提出了三种替换策略,以将访问量最大的数据保留在SSD中。此替换是使用过去的使用情况数据确定的。目标是最大程度地利用可用的SSD,同时最大程度地减少更换次数。我们的仿真结果表明,与跨不同工作负载的全HDD相比,我们最好的策略可将性能提高60%至90%。

著录项

  • 作者

    Shukla, Joy.;

  • 作者单位

    Iowa State University.;

  • 授予单位 Iowa State University.;
  • 学科 Computer engineering.
  • 学位 M.S.
  • 年度 2014
  • 页码 38 p.
  • 总页数 38
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:53:45

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