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Mass Storage Systems and Technologies, IEEE / NASA Goddard Conference on (2011)
Denver, CO USA
May 23, 2011 to May 27, 2011
ISBN: 978-1-4577-0427-7
pp: 1-10
Tao Xie , Computer Science Department, San Diego State University, California, USA
Janak Koshia , Computer Science Department, San Diego State University, California, USA
NAND flash memory has been successfully employed in mobile devices like PDAs and laptops. With recent advances in capacity, bandwidth, and durability, NAND flash memory based Solid State Disk (SSD) is starting to replace hard disk drive (HDD) in desktop systems. Integrating SSD into enterprise storage systems, however, is much more challenging. One of the major challenges is that server applications normally demand an exceptional random I/O performance, whereas current SSD performs poorly in random writes. To fundamentally boost random write performance, in this paper we propose a new write cache management scheme called EPO (element-level parallel optimization), which reorders write requests so that element-level parallelism within SSD can be effectively exploited. We evaluate EPO using a validated disk simulator with realistic server-class traces. Experimental results show that EPO noticeably outperforms traditional LRU algorithm and a state-of-the-art flash write buffer management scheme BPLRU (block padding least recently used).

J. Koshia and Tao Xie, "Boosting random write performance for enterprise flash storage systems," 2011 IEEE 27th Symposium on Mass Storage Systems and Technologies (MSST), Denver, CO, 2011, pp. 1-10.
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