HintStor: A Framework to Study I/O Hints in Heterogeneous Storage

Xiongzi Ge, Zhichao Cao, D. Du, P. Ganesan, Dennis Hahn
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引用次数: 2

Abstract

To bridge the giant semantic gap between applications and modern storage systems, passing a piece of tiny and useful information, called I/O access hints, from upper layers to the storage layer may greatly improve application performance and ease data management in storage systems. This is especially true for heterogeneous storage systems that consist of multiple types of storage devices. Since ingesting external access hints will likely involve laborious modifications of legacy I/O stacks, it is very hard to evaluate the effect and take advantages of access hints. In this article, we design a generic and flexible framework, called HintStor, to quickly play with a set of I/O access hints and evaluate their impacts on heterogeneous storage systems. HintStor provides a new application/user-level interface, a file system plugin, and performs data management with a generic block storage data manager. We demonstrate the flexibility of HintStor by evaluating four types of access hints: file system data classification, stream ID, cloud prefetch, and I/O task scheduling on a Linux platform. The results show that HintStor can execute and evaluate various I/O access hints under different scenarios with minor modifications to the kernel and applications.
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HintStor:一个研究异构存储I/O提示的框架
为了弥合应用程序和现代存储系统之间巨大的语义鸿沟,将一段微小而有用的信息(称为I/O访问提示)从上层传递到存储层,可能会大大提高应用程序的性能,并简化存储系统中的数据管理。对于由多种类型的存储设备组成的异构存储系统尤其如此。由于摄取外部访问提示可能涉及对遗留I/O堆栈进行费力的修改,因此很难评估其效果并利用访问提示。在本文中,我们设计了一个通用且灵活的框架,称为HintStor,用于快速处理一组I/O访问提示,并评估它们对异构存储系统的影响。HintStor提供了一个新的应用程序/用户级界面,一个文件系统插件,并使用通用块存储数据管理器执行数据管理。我们通过评估四种类型的访问提示来演示HintStor的灵活性:文件系统数据分类、流ID、云预取和Linux平台上的I/O任务调度。结果表明,HintStor可以在不同场景下执行和评估各种I/O访问提示,只需对内核和应用程序进行少量修改。
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