DocumentCode
2444289
Title
Node Compression Techniques Based on Cache-Sensitive B+-Tree
Author
Jin, Rize ; Chung, Tae-Sun
Author_Institution
Inf. & Comput. Eng., Ajou Univ., Suwon, South Korea
fYear
2010
fDate
18-20 Aug. 2010
Firstpage
133
Lastpage
138
Abstract
Cache-conscious indices have been researched for a decade. These index structures can enhance data locality and reduce cache misses. Cache-Sensitive B+-tree (CSB+-tree) is a state-of-the-art, high performance index tree for main-memory database systems. However, in the worst case, the space utilization of CSB+-tree can fall to 25%. The main contribution of this paper is to improve space efficiency of CSB+-tree by using compression mechanisms. We have conducted experimental studies. Results show that the compressed CSB+-trees can yield significant space savings with additional benefits for search and delete operations by utilizing the superiority of modern hardware.
Keywords
cache storage; data compression; trees (mathematics); cache-sensitive B+-tree; data locality; main-memory database systems; node compression techniques; Clocks; Computers; Encoding; Hardware; Indexes; Memory management; Random access memory; CSB+-tree; cache-conscious; compression; index structure; main-memory;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Science (ICIS), 2010 IEEE/ACIS 9th International Conference on
Conference_Location
Yamagata
Print_ISBN
978-1-4244-8198-9
Type
conf
DOI
10.1109/ICIS.2010.9
Filename
5593131
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