Azor: Using Two-Level Block Selection to Improve SSD-Based I/O Caches

Yannis Klonatos, Thanos Makatos, M. Marazakis, Michail Flouris, A. Bilas
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引用次数: 18

Abstract

Flash-based solid state drives (SSDs) exhibit potential for solving I/O bottlenecks by offering superior performance over hard disks for several workloads. In this work we design Azor, an SSD-based I/O cache that operates at the block-level and is transparent to existing applications, such as databases. Our design provides various choices for associativity, write policies and cache line size, while maintaining a high degree of I/O concurrency. Our main contribution is that we explore differentiation of HDD blocks according to their expected importance on system performance. We design and analyze a two-level block selection scheme that dynamically differentiates HDD blocks, and selectively places them in the limited space of the SSD cache. We implement Azor in the Linux kernel and evaluate its effectiveness experimentally using a server-type platform and large problem sizes with three I/O intensive workloads: TPC-H, SPECsfs 2008, and Hammerora. Our results show that as the cache size increases, Azor enhances I/O performance by up to 14.02×, 1.63×, and 1.55× for each workload respectively. Additionally, our two-level block selection scheme further enhances I/O performance compared to a typical SSD cache by up to 95%, 16%, and 34% for each workload, respectively.
Azor:使用两级块选择来改进基于ssd的I/O缓存
基于闪存的固态驱动器(ssd)通过在多种工作负载下提供比硬盘更好的性能,显示出解决I/O瓶颈的潜力。在这项工作中,我们设计了Azor,这是一种基于ssd的I/O缓存,它在块级操作,对现有的应用程序(如数据库)是透明的。我们的设计为关联性、写策略和缓存行大小提供了各种选择,同时保持了高度的I/O并发性。我们的主要贡献是我们根据HDD块对系统性能的预期重要性来探索它们的区别。我们设计并分析了一个两级块选择方案,该方案动态区分HDD块,并有选择地将它们放置在SSD缓存的有限空间中。我们在Linux内核中实现Azor,并使用服务器类型的平台和具有三种I/O密集型工作负载(TPC-H、SPECsfs 2008和Hammerora)的大型问题规模来实验性地评估其有效性。我们的结果表明,随着缓存大小的增加,Azor对每个工作负载的I/O性能分别提高了14.02倍、1.63倍和1.55倍。此外,与典型的SSD缓存相比,我们的两级块选择方案进一步提高了I/O性能,在每个工作负载上分别提高了95%、16%和34%。
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