Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

An Efficient Buffer Management Scheme for Implementing a B-Tree on NAND Flash Memory

Authors
ee, Hyun seobPark, SangwonSong, Ha JooLee, Dong ho
Issue Date
May-2007
Publisher
SPRINGER-VERLAG BERLIN
Keywords
Flash Memory; BFTL; Index; B-Tree; Buffer Management Scheme
Citation
LECTURE NOTES IN COMPUTER SCIENCE, v.4523, pp 181 - 192
Pages
12
Indexed
OTHER
Journal Title
LECTURE NOTES IN COMPUTER SCIENCE
Volume
4523
Start Page
181
End Page
192
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/43740
DOI
10.1007/978-3-540-72685-2_18
ISSN
0302-9743
Abstract
Recently, NAND flash memory has been used for a storage device in various mobile computing devices such as MP3 players, mobile phones and laptops because of its shock-resistant, low-power consumption, and nonevolatile properties, However, due to the very distinct characteristics of flash memory, disk based systems and applications may result in severe performance degradation when directly adopting them on flash memory storage systems. Especially, when a B-tree is constructed, intensive overwrite operations may be caused by record inserting, deleting, and its reorganizing, This could result in severe performance degradation on NAND flash memory because of its distinct characteristics. In this paper, we propose an efficient buffer management scheme, called IBSF, which eliminates redundant index units in the index buffer and then delays the time that the index buffer is filled up. Consequently, IBSF significantly reduces the number of write operations to a flash memory when constructing a B-tree. We also show that IBSF yields a better performance on a flash memory by comparing it to the related technique called BFTL through various experiments.
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF COMPUTING > DEPARTMENT OF ARTIFICIAL INTELLIGENCE > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Dong Ho photo

Lee, Dong Ho
ERICA 소프트웨어융합대학 (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)
Read more

Altmetrics

Total Views & Downloads

BROWSE