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Efficient virtualization of network interfaces without sacrificing safety and transparency.

机译:在不牺牲安全性和透明度的情况下对网络接口进行有效的虚拟化。

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摘要

In modern day data centers economics is motivating server consolidation. Today, machine virtualization is being widely used to implement server consolidation. While great strides have been made in efficient virtualization of the machine's processors and memory, virtualization of I/O devices still incurs significant overheads. Xen uses the driver domain I/O model to support I/O virtualization. This model offers benefits such as fault isolation and device transparency. However, the processing overheads incurred in the driver domain to achieve these benefits limit overall I/O performance.;This thesis presents mechanisms and optimizations to reduce the overhead of network interface virtualization when using the driver domain model without sacrificing its benefits. In particular, this thesis demonstrates the effectiveness of two approaches to reduce the CPU overhead of network I/O virtualization. First, Xen is modified to support multi-queue network interfaces to eliminate the software overheads of packet de-multiplexing and copying. Second, a new grant mechanism is developed to reduce memory sharing overheads. This thesis also presents and evaluates a series of optimizations that substantially reduce the I/O virtualization overheads in the guest domain. In combination, these mechanisms and optimizations increase the maximum throughput achieved by guest domains, in the receive path, from 3.0 Gb/s to full 10 Gigabit Ethernet link rates.
机译:在当今的数据中心中,经济学正在推动服务器整合。如今,机器虚拟化已被广泛用于实现服务器整合。尽管在机器处理器和内存的有效虚拟化方面已取得了长足的进步,但I / O设备的虚拟化仍会产生大量开销。 Xen使用驱动程序域I / O模型来支持I / O虚拟化。该模型提供了诸如故障隔离和设备透明性等优点。但是,为获得这些好处而在驱动程序域中产生的处理开销限制了总体I / O性能。本文提出了在不牺牲其优点的情况下减少使用驱动程序域模型时网络接口虚拟化开销的机制和优化。特别是,本文证明了两种减少网络I / O虚拟化CPU开销的方法的有效性。首先,对Xen进行了修改,以支持多队列网络接口,从而消除了数据包解复用和复制的软件开销。其次,开发了一种新的授权机制来减少内存共享开销。本文还提出并评估了一系列优化方法,这些方法可大大减少来宾域中的I / O虚拟化开销。结合起来,这些机制和优化可将来宾域在接收路径中实现的最大吞吐量从3.0 Gb / s提高到完整的10 Gb以太网链路速率。

著录项

  • 作者

    Ram, Kaushik Kumar.;

  • 作者单位

    Rice University.;

  • 授予单位 Rice University.;
  • 学科 Computer science.
  • 学位 M.S.
  • 年度 2009
  • 页码 103 p.
  • 总页数 103
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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