NDLI: Compressing bitmap indices by data reorganization

Content Provider	IEEE Xplore Digital Library
Author	Pinar, A. Tao, T. Ferhatosmanoglu, H.
Copyright Year	2005
Description	Author affiliation: Comput. Res. Div., Lawrence Livermore Nat. Lab., Berkeley, CA, USA (Pinar, A.)
Abstract	Many scientific applications generate massive volumes of data through observations or computer simulations, bringing up the need for effective indexing methods for efficient storage and retrieval of scientific data. Unlike conventional databases, scientific data is mostly read-only and its volume can reach to the order of petabytes, making a compact index structure vital. Bitmap indexing has been successfully applied to scientific databases by exploiting the fact that scientific data are enumerated or numerical. Bitmap indices can be compressed with valiants of run length encoding for a compact index structure. However even this may not be enough for the enormous data generated in some applications such as high energy physics. In this paper, we study how to reorganize bitmap tables for improved compression rates. Our algorithms are used just as a preprocessing step, thus there is no need to reuse the current indexing techniques and the query processing algorithms. We introduce the tuple reordering problem, which aims to reorganize database tuples for optimal compression rates. We propose Gray code ordering algorithm for this NP-Complete problem, which is an in-place algorithm, and runs in linear time in the order of the size of the database. We also discuss how the tuple reordering problem can be reduced to the traveling salesperson problem. Our experimental results on real data sets show that the compression ratio can be improved by a factor of 2 to 10.
Sponsorship	IEEE Comput. Soc. Database Soc. of Japan (DBSJ) Inf. Process. Soc. of Japan (IPSJ) Inst. of Electron., Inf. and Commun. Eng. (IEICE)
Starting Page	310
Ending Page	321
File Size	222652
Page Count	12
File Format	PDF
ISBN	0769522858
ISSN	10844627
DOI	10.1109/ICDE.2005.35
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-04-05
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Databases Indexing Application software Computer simulation Information retrieval Indexes Encoding Query processing Reflective binary codes NP-complete problem
Content Type	Text
Resource Type	Article
Subject	Signal Processing Information Systems Software

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