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Data Management on Non-Volatile Memory: A Perspective

机译:非易失性存储器上的数据管理:一个视角

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The large performance gap between main memory and secondary storage accounts for many design decisions of traditional database systems. With the upcoming availability of Non-Volatile Memory (NVM), which has latencies in the same order of magnitude as DRAM, is byte-addressable and persistent, a completely new type of technology is added to the memory stack. This changes some basic assumptions such as slow storage, block granular access, and that sequential accesses are much faster than random accesses. New ideas are therefore needed to efficiently leverage NVM. Although several new approaches can be found in the literature, the exact role of NVM is not yet clear. In this paper, we survey recent work in this area and classify the existing approaches. We focus on two key challenges: (1) integration of NVM into the memory hierarchy and (2) the design of NVM-aware data structures. We contrast the different approaches, highlight their advantages and limitations, and make recommendations.
机译:主内存和辅助存储之间的巨大性能差距导致了传统数据库系统的许多设计决策。随着非易失性存储器(NVM)的可寻址性和持久性的提高,其非易失性存储器(NVM)的延迟与DRAM处于相同的数量级,从而将一种新型的技术添加到了存储器堆栈中。这改变了一些基本的假设,例如慢速存储,块粒度访问以及顺序访问比随机访问快得多。因此,需要新的想法来有效利用NVM。尽管可以在文献中找到几种新方法,但NVM的确切作用尚不清楚。在本文中,我们调查了该领域的最新工作,并对现有方法进行了分类。我们将重点放在两个关键挑战上:(1)将NVM集成到内存层次结构中,以及(2)设计NVM感知数据结构。我们对比了不同的方法,强调了它们的优点和局限性,并提出了建议。

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