将基于闪存的ssd集成到存储堆栈中

Raja Appuswamy, D. V. Moolenbroek, A. Tanenbaum
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引用次数: 25

摘要

在过去的几年里,使用高性能ssd和高密度hdd的混合存储架构已经引起了工业界和学术界的极大兴趣,因为它们能够提高性能,同时降低资本和运营成本。这些混合架构在将ssd集成到传统的基于hdd的存储堆栈中的方法上有所不同。在几种可能的集成中,有两种已经被广泛采用:缓存和动态存储分层。尽管这些架构在某些工作负载下的有效性得到了很好的理解,但是由于涉及的设计替代方案和配置参数的范围,对这些方法进行系统的并行分析仍然很困难。现在比以往任何时候都需要这样的研究,以便能够设计有效的混合存储解决方案,以部署在日益虚拟化的现代存储安装中,将多个工作负载混合到单个流中。在本文中,我们首先介绍了对Loris存储堆栈的扩展,将其转换为设计混合存储系统的框架。然后,我们通过设计几个基于缓存和dst的混合系统来说明框架的灵活性。接下来,我们将在一系列单独的工作负载类型下对这些系统进行系统的并行分析,并深入了解每种体系结构的优缺点。最后,根据最近硬件环境和应用程序工作负载的变化,讨论了我们的研究结果对未来混合存储系统设计的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating flash-based SSDs into the storage stack
Over the past few years, hybrid storage architectures that use high-performance SSDs in concert with high-density HDDs have received significant interest from both industry and academia, due to their capability to improve performance while reducing capital and operating costs. These hybrid architectures differ in their approach to integrating SSDs into the traditional HDD-based storage stack. Of several such possible integrations, two have seen widespread adoption: Caching and Dynamic Storage Tiering. Although the effectiveness of these architectures under certain workloads is well understood, a systematic side-by-side analysis of these approaches remains difficult due to the range of design alternatives and configuration parameters involved. Such a study is required now more than ever to be able to design effective hybrid storage solutions for deployment in increasingly virtualized modern storage installations that blend several workloads into a single stream. In this paper, we first present our extensions to the Loris storage stack that transform it into a framework for designing hybrid storage systems. We then illustrate the flexibility of the framework by designing several Caching and DST-based hybrid systems. Following this, we present a systematic side-by-side analysis of these systems under a range of individual workload types and offer insights into the advantages and disadvantages of each architecture. Finally, we discuss the ramifications of our findings on the design of future hybrid storage systems in the light of recent changes in hardware landscape and application workloads.
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