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Modeling of the TLB miss rate and the Page fault rate for NVM-based Storage Systems

机译:基于NVM的存储系统TLB未命中率和页面错误率的建模

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Non-volatile memory (NVM) is recently attracting interest as a new storage device, and the traditional memory management system designed for hard disk drive (HDD) needs to be reconsidered. In this paper, we revisit the memory management system that adopts NVM as a storage device. In particular, we quantify the memory access latency as the TLB miss rate and the page fault rate are varied. By doing so, we observe that the memory access latency is sensitive to the page size when NVM storage is adopted. We find the reason from the TLB miss rate, which has the increased influence on the memory access latency in comparison with the page fault rate, and there is a trade-off relation between the TLB miss rate and the page fault rate as the page size is varied. To handle such situations, we present a memory access latency model that reflects the page fault rate and the TLB miss rate accurately as a function of the page size. Specifically, we show that the power fit and the exponential fit with two terms are appropriate for the fitting of the TLB miss rate and the page fault rate curves, respectively.
机译:近年来,非易失性存储器(NVM)作为一种新型存储设备引起了人们的兴趣,传统的硬盘存储管理系统需要重新考虑。在本文中,我们回顾了采用NVM作为存储设备的内存管理系统。特别是,我们量化了TLB未命中率和页面错误率变化时的内存访问延迟。通过这样做,我们观察到,当采用NVM存储时,内存访问延迟对页面大小非常敏感。我们从TLB未命中率中找到原因,与页面错误率相比,TLB未命中率对内存访问延迟的影响更大,并且随着页面大小的变化,TLB未命中率和页面错误率之间存在折衷关系。为了处理这种情况,我们提出了一个内存访问延迟模型,该模型准确地反映了页面错误率和TLB未命中率与页面大小的函数关系。具体地说,我们证明了两项幂拟合和指数拟合分别适用于TLB未命中率和页面错误率曲线的拟合。

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