RAFlow: Read Ahead Accelerated I/O Flow through Multiple Virtual Layers

Zhaoning Zhang, Kui Wu, Huiba Li, Jinghua Feng, Yuxing Peng, Xicheng Lu
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引用次数: 1

Abstract

Virtualization is the foundation for cloud computing, and the virtualization can not be achieved without software defined, elastic, flexible and scalable virtual layers. Unfortunately, if multiple virtual storage devices are chained together, the system may be subject to severe performance degradation. While the read-ahead (RA) mechanism in storage devices plays a very important role to improve I/O performance, RA may not be effective as expected for multiple virtualization layers, since it is originally designed for one layer only. When I/O requests are passed through a long I/O path, they may trigger a chain reaction and lead to unnecessary data transmission and thus bandwidth waste. In this paper, we study the dynamic behavior of RA through multiple I/O layers and demonstrate that if controlled well, RA can greatly accelerate I/O speed. We present RAFlow, a RA control mechanism, to effectively improve I/O performance by strategically expanding RA window at each layer. Our real-world experiments show that it can achieve 20% to 50% performance improvement in I/O paths with up to 8 virtualized storage devices.
RAFlow:通过多个虚拟层的预读加速I/O流
虚拟化是云计算的基础,没有软件定义的、弹性的、灵活的、可扩展的虚拟层,虚拟化就无法实现。但是,如果多个虚拟存储设备链接在一起,可能会导致系统性能严重下降。虽然存储设备中的预读(RA)机制在提高I/O性能方面发挥着非常重要的作用,但RA对于多个虚拟化层可能不像预期的那样有效,因为它最初是为一个层设计的。当I/O请求经过较长的I/O路径时,可能会引发连锁反应,导致不必要的数据传输,造成带宽浪费。本文通过多个I/O层研究了RA的动态行为,并证明如果控制良好,RA可以大大提高I/O速度。我们提出了一种RA控制机制RAFlow,通过在每层有策略地扩展RA窗口来有效地提高I/O性能。我们的实际实验表明,它可以在最多8个虚拟化存储设备的I/O路径上实现20%到50%的性能提升。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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