Detailed Information

Cited 0 time in webofscience Cited 13 time in scopus
Metadata Downloads

CST-trees: Cache sensitive T-trees

Authors
Lee I.-H.Shim J.Lee S.-G.Chun J.
Issue Date
Aug-2007
Publisher
Springer Verlag
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.4443 LNCS, pp 398 - 409
Pages
12
Journal Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
4443 LNCS
Start Page
398
End Page
409
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/14976
DOI
10.1007/978-3-540-71703-4_35
ISSN
0302-9743
Abstract
Researchers have modified existing index structures into ones optimized for CPU cache performance in main memory database environments. A Cache Sensitive B+-Tree is one of them. It is designed to minimize the impact of cache misses for B+-Trees and it has been known to be more effective than other types of main memory index structure including T-Trees. In this paper, we introduce a Cache Sensitive T-Tree (CST-Tree) and show how T-Trees can also be redesigned to be cache sensitive. We present an experimental performance study which shows that our Cache Sensitive T-Trees can outperform the original T-Trees and Cache Sensitive B+-Trees on average 65 percent and 17 percent, respectively. © Springer-Verlag Berlin Heidelberg 2007.
Files in This Item
Go to Link
Appears in
Collections
공과대학 > 소프트웨어학부 > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Shim, Junho photo

Shim, Junho
공과대학 (소프트웨어학부(첨단))
Read more

Altmetrics

Total Views & Downloads

BROWSE