探索VM自省:技术和权衡

Sahil Suneja, C. Isci, E. D. Lara, Vasanth Bala
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引用次数: 37

摘要

虽然存在各种现有的虚拟机自省(VMI)技术,但它们的延迟、开销、复杂性和一致性权衡并不清楚。在这项工作中,我们首先根据其操作原则将各种现有的VMI技术组织到一个分类法中,以便将它们置于上下文中,从而解决了这一差距。接下来,我们将在定性和定量上对它们的权衡进行彻底的探索。根据我们使用这些技术的经验,我们提供了一套全面的观察结果和最佳实践,以实现高效、准确和一致的VMI操作。我们的结果显示了不同VMI技术在性能、复杂性和开销方面的惊人变化。我们进一步深入研究了VMI一致性方面,以了解观察到的VM状态中不一致的来源,并表明,与通常的预期相反,基于暂停和内省的VMI技术在提高一致性方面几乎没有取得什么进展,尽管它们对性能有很大的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring VM Introspection: Techniques and Trade-offs
While there are a variety of existing virtual machine introspection (VMI) techniques, their latency, overhead, complexity and consistency trade-offs are not clear. In this work, we address this gap by first organizing the various existing VMI techniques into a taxonomy based upon their operational principles, so that they can be put into context. Next we perform a thorough exploration of their trade-offs both qualitatively and quantitatively. We present a comprehensive set of observations and best practices for efficient, accurate and consistent VMI operation based on our experiences with these techniques. Our results show the stunning range of variations in performance, complexity and overhead with different VMI techniques.We further present a deep dive on VMI consistency aspects to understand the sources of inconsistency in observed VM state and show that, contrary to common expectation, pause-and-introspect based VMI techniques achieve very little to improve consistency despite their substantial performance impact.
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