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Flash-Aware Cost Model for Embedded Database Query Optimizer

机译:嵌入式数据库查询优化器的闪存成本模型

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摘要

Flash memory is suitable for embedded devices because it offers small, non-volatile, impact-resistant and low power consumption. However, in flash memory, the speeds of the read, write, and erase operations are different. In addition, flash memory features hardware characteristics including erase-before-write. Therefore, a flash translation layer (FTL) is required to efficiently perform operations to the flash memory. FTL allows the file system to consider the flash memory as a block device, and the existing file system can be used without any additional modifications. Most databases use the disk-aware cost model to perform query optimization. If the storage device for the database is replaced by flash memory, the cost model for the database query optimization must be changed to the flash-aware cost model. In this study, we propose a cost model for flash memory, and we compare the differences between the flash-aware and disk-aware cost models.
机译:闪存适用于嵌入式设备,因为它具有体积小,非易失性,耐冲击和低功耗的特点。但是,在闪存中,读,写和擦除操作的速度不同。另外,闪存具有硬件特性,包括写前擦除。因此,需要闪存转换层(FTL)以有效地执行对闪存的操作。 FTL允许文件系统将闪存视为块设备,并且可以在不进行任何其他修改的情况下使用现有文件系统。大多数数据库使用磁盘感知成本模型来执行查询优化。如果将数据库的存储设备替换为闪存,则必须将数据库查询优化的成本模型更改为可识别闪存的成本模型。在这项研究中,我们提出了一种闪存成本模型,并比较了闪存和磁盘感知成本模型之间的差异。

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