Abstract
Flash memory has critical drawbacks such as long latency of its write operation and a short life cycle. In order to overcome these limitations, the number of write operations to flash memory devices needs to be minimized. The B-Tree index structure, which is a popular hard disk based index structure, requires an excessive number of write operations when updating it to flash memory. To address this, it was proposed that another layer that emulates a B-Tree be placed between the flash memory and B-Tree indexes. This approach succeeded in reducing the write operation count, but it greatly increased search time and main memory usage. This paper proposes a B-Tree index extension that reduces both the write count and search time with limited main memory usage. First, we designed a buffer that accumulates update requests per leaf node and then simultaneously processes the update requests of the leaf node carrying the largest number of requests. Second, a type of header information was written on each leaf node. Finally, we made the index automatically control each leaf node size. Through experiments, the proposed index structure resulted in a significantly lower write count and a greatly decreased search time with less main memory usage, than placing a layer that emulates a B-Tree.
Original language | English |
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Pages (from-to) | 3136-3161 |
Number of pages | 26 |
Journal | Information sciences |
Volume | 179 |
Issue number | 18 |
DOIs | |
Publication status | Published - 2009 Aug 21 |
All Science Journal Classification (ASJC) codes
- Software
- Control and Systems Engineering
- Theoretical Computer Science
- Computer Science Applications
- Information Systems and Management
- Artificial Intelligence