Deferred updates for flash-based storage

Biplob K. Debnath, M. Mokbel, D. Lilja, D. Du
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引用次数: 7

Abstract

The NAND flash memory based storage has faster read, higher power savings, and lower cooling cost compared to the conventional rotating magnetic disk drive. However, in case of flash memory, read and write operations are not symmetric. Write operations are much slower than read operations. Moreover, frequent update operations reduce the lifetime of the flash memory. Due to the faster read performance, flash-based storage is particularly attractive for the read-intensive database workloads, while it can produce poor performance when used for the update-intensive database workloads. This paper aims to improve write performance and lifetime of flash-based storage for the update-intensive workloads. In particular, we propose a new hierarchical approach named as deferred update methodology. Instead of directly updating the data records, first we buffer the changes due to update operations as logs in two intermediate in-flash layers. Next, we apply multiple update logs in bulk to the data records. Experimental results show that our proposed methodology significantly improves update processing overhead and longevity of the flash-based storages.
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基于闪存的存储延迟更新
与传统的旋转磁盘驱动器相比,基于NAND闪存的存储具有更快的读取速度、更高的功耗和更低的冷却成本。然而,在闪存的情况下,读和写操作是不对称的。写操作比读操作慢得多。此外,频繁的更新操作降低了闪存的使用寿命。由于更快的读取性能,基于闪存的存储对于读取密集型数据库工作负载特别有吸引力,而当用于更新密集型数据库工作负载时,它可能会产生较差的性能。本文旨在为更新密集型工作负载提高基于闪存的存储的写性能和寿命。特别地,我们提出了一种新的分层方法,称为延迟更新方法。我们没有直接更新数据记录,而是首先将由于更新操作而产生的更改作为日志缓冲在两个中间的闪存层中。接下来,我们将多个更新日志批量应用于数据记录。实验结果表明,我们提出的方法显著改善了基于闪存的存储的更新处理开销和寿命。
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