基于内省的内存重复数据删除和迁移

J. Chiang, Han-Lin Li, T. Chiueh
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引用次数: 39

摘要

内存虚拟化将物理机的内存资源抽象出来,并向在其上运行的虚拟机提供一块可以共享、压缩和移动的物理内存。为了通过充分利用内存虚拟化提供的灵活性来优化内存资源利用,hypervisor必须了解来宾虚拟机如何使用它们分配的物理内存。一种方法是虚拟机自省(VMI),它将来宾内存空间中的字节值解释为语义上有意义的数据结构。但是,识别客户机虚拟机的内存使用信息(如空闲内存池)是非常重要的。本文描述了一种无需特定于内核版本的硬编码就能从多个版本的Windows和Linux中准确提取空闲内存池信息的自引导VM自省技术,以及如何应用该技术来提高内存重复数据删除和内存状态迁移的效率,从而提高内存重复数据删除速度,获得额外的内存重复数据删除页面,并减少与内存状态迁移相关的流量负载。
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Introspection-based memory de-duplication and migration
Memory virtualization abstracts a physical machine's memory resource and presents to the virtual machines running on it a piece of physical memory that could be shared, compressed and moved. To optimize the memory resource utilization by fully leveraging the flexibility afforded by memory virtualization, it is essential that the hypervisor have some sense of how the guest VMs use their allocated physical memory. One way to do this is virtual machine introspection (VMI), which interprets byte values in a guest memory space into semantically meaningful data structures. However, identifying a guest VM's memory usage information such as free memory pool is non-trivial. This paper describes a bootstrapping VM introspection technique that could accurately extract free memory pool information from multiple versions of Windows and Linux without kernel version-specific hard-coding, how to apply this technique to improve the efficiency of memory de-duplication and memory state migration, and the resulting improvement in memory de-duplication speed, gain in additional memory pages de-duplicated, and reduction in traffic loads associated with memory state migration.
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