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μ*-Tree: An Ordered Index Structure for NAND Flash Memory with Adaptive Page Layout Scheme

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5 Author(s)
Jung-Sang Ahn ; Dept. of Comput. Sci., KAIST, Daejeon, South Korea ; Dongwon Kang ; Dawoon Jung ; Jin-soo Kim
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As NAND flash memory is gaining popularity as a storage medium for mobile embedded devices, many flash-aware file systems, flash-aware DBMSes, and flash translation layers (FTLs) require an flash-efficient index structure. This paper proposes a novel index structure called μ*-Tree which natively works on NAND flash memory, aiming at improving performance over B+-Tree. μ*-Tree stores all the nodes along the path from the root to the leaf into a single flash memory page in order to minimize the number of flash write operation when a node is updated. Furthermore, μ*-Tree has an adaptive page layout scheme which dynamically adjusts the page layout according to the workload characteristics on-the-fly. μ*-Tree also allows flash pages with different page layouts to coexist in the same tree. Our evaluation results with real workload traces show that μ*-Tree outperforms B+-Tree by up to 55 percent in terms of the time needed for flash operations. With a small in-memory cache of 32 KB, μ*-Tree improves the overall performance by up to five times compared to B+-Tree with the same cache size.

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Computers, IEEE Transactions on  (Volume:62 ,  Issue: 4 )