超越内存非易失性扩展的3级缓存缺失模型

Vimalraj Venkatesan, Y. Tay, Yi Zhang, Q. Wei
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引用次数: 3

摘要

资源分配是云计算的基础,云计算的内存层次结构很深。此层次结构中的空间分配需要一个模型来确定一个级别的配置如何影响较低级别的性能。本文提出了一个3层模型,该模型将相邻两层缓存的丢失比曲线联系起来。该模型使用NEXTmem进行了测试,NEXTmem是Xen管理程序用来为虚拟机缓存页面的超内存。NEXTmem具有DRAM级和非易失性存储器级。该测试运行DaCapo基准测试,并显示该模型可用于在一个级别上执行公平性,在另一个级别上执行延迟边界。
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A 3-Level Cache Miss Model for a Nonvolatile Extension to Transcendent Memory
Resource allocation is fundamental to cloud computing, where the memory hierarchy is deep. Space allocation in this hierarchy calls for a model to determine how provisioning at one level affects performance at a lower level. This paper presents a 3-level model that relates the Miss Ratio Curves for two caches at adjacent levels. The model is tested with NEXTmem, which is a transcendent memory used by a Xen hypervisor to cache pages for virtual machines. NEXTmem has a DRAM level and a nonvolatile memory level. The test runs DaCapo benchmarks and shows that the model can be used to enforce fairness at one level, and latency bounds at another level.
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