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A High-Throughput In-Memory Index, Durable on Flash-based SSD

机译:高通量内存索引,在基于闪存的SSD上持久耐用

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摘要

Growing memory capacities and the increasing number of cores on modern hardware enforces the design of new in-memory indexing structures that reduce the number of memory transfers and minimizes the need for locking to allow massive parallel access. However, most applications depend on hard durability constraints requiring a persistent medium like SSDs, which shorten the latency and throughput gap between main memory and hard disks. In this paper, we present our winning solution of the SIGMOD Programming Contest 2011. It consists of an in-memory indexing structure that provides a balanced read/write performance as well as non-blocking reads and single-lock writes. Complementary to this index, we describe an SSD-optimized logging approach to fit hard durability requirements at a high throughput rate.
机译:内存容量的增加以及现代硬件上内核数量的增加,强制执行了新的内存中索引结构的设计,该结构减少了内存传输次数,并最大程度地减少了锁定以允许大规模并行访问的需求。但是,大多数应用程序都依赖于硬性约束条件,这些约束条件要求诸如SSD之类的持久性介质,从而缩短了主存储器和硬盘之间的延迟和吞吐量差距。在本文中,我们介绍了SIGMOD编程竞赛2011的获奖解决方案。它由内存中索引结构组成,该结构提供平衡的读/写性能以及非阻塞读取和单锁写入。作为该指数的补充,我们描述了一种SSD优化的日志记录方法,可满足高吞吐量下的硬耐久性要求。

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  • 来源
    《SIGMOD record》 |2012年第3期|p.44-50|共7页
  • 作者单位

    Database Technology Group Dresden University of Technology 01062 Dresden, Germany;

    Database Technology Group Dresden University of Technology 01062 Dresden, Germany;

    Database Technology Group Dresden University of Technology 01062 Dresden, Germany,The author is currently visiting IBM Almaden Re- search Center, San Jose, CA, USA;

    Database Technology Group Dresden University of Technology 01062 Dresden, Germany;

    Database Technology Group Dresden University of Technology 01062 Dresden, Germany;

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  • 正文语种 eng
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