Detailed Information

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

An efficient index buffer management scheme for implementing a B-tree on NAND flash memory

Authors
Lee, Hyun-SeobLee, Dong-Ho
Issue Date
Sep-2010
Publisher
ELSEVIER
Keywords
Flash memory; Embedded DBs; Index structure; B-tree; Hashing and indexing
Citation
DATA & KNOWLEDGE ENGINEERING, v.69, no.9, pp.901 - 916
Indexed
SCIE
SCOPUS
Journal Title
DATA & KNOWLEDGE ENGINEERING
Volume
69
Number
9
Start Page
901
End Page
916
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/39578
DOI
10.1016/j.datak.2010.03.004
ISSN
0169-023X
Abstract
Recently, NAND flash memory has been one of the best storage mediums for various embedded systems such as MP3 players, mobile phones and laptops because of its shock-resistant, low-power consumption, and none-volatile properties. However, since it has very distinct characteristics including erase-before-write and asymmetric read/write speed, the performance of disk based systems and applications may degrade dramatically when directly adopting them on the flash memory storage systems. Especially when a B-tree is constructed on NAND flash memory, intensive overwrite operations may be caused by record inserting, deleting, and reorganizing. These may result in severe performance degradation when building the B-tree. In this paper, we propose an efficient index buffer management scheme, called IBSF, which eliminates redundant index units in the index buffer and then delays the time that the index buffer requires to become full. 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 through various experiments. (C) 2010 Elsevier B.V. All rights reserved.
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
COLLEGE OF COMPUTING (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)
Read more

Altmetrics

Total Views & Downloads

BROWSE