ACM SIGMOD Anthology VLDB dblp.uni-trier.de

Data Compression Support in Databases.

Balakrishna R. Iyer, David Wilhite: Data Compression Support in Databases. VLDB 1994: 695-704
@inproceedings{DBLP:conf/vldb/IyerW94,
  author    = {Balakrishna R. Iyer and
               David Wilhite},
  editor    = {Jorge B. Bocca and
               Matthias Jarke and
               Carlo Zaniolo},
  title     = {Data Compression Support in Databases},
  booktitle = {VLDB'94, Proceedings of 20th International Conference on Very
               Large Data Bases, September 12-15, 1994, Santiago de Chile, Chile},
  publisher = {Morgan Kaufmann},
  year      = {1994},
  isbn      = {1-55860-153-8},
  pages     = {695-704},
  ee        = {db/conf/vldb/vldb94-695.html},
  crossref  = {DBLP:conf/vldb/94},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Computers running database management applications often manage large amounts of data. Typically, the price of the I/O subsytem is a considerable portion of the computing hardware. Fierce price competition demands every possible saving. Lossless data compression methods, when appropriately integrated with the dbms, yield significant savings. Roughly speaking, a slight increase in CPU cycles is more than offset by savings in I/O subsystems. various design issues arise in the use of data compression in the dbms - from the choice of algorithm, statistics collection, hardware versus software based based compression, location of the compression function in the overall computer system architecture, unit of compression, update in place, and the application of logic to compressed data. These are methodically examined and tradeoffs discussed in the context of choices made for IBM's DB2 dbms product.

Copyright © 1994 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.

Online Paper

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Printed Edition

Jorge B. Bocca, Matthias Jarke, Carlo Zaniolo (Eds.): VLDB'94, Proceedings of 20th International Conference on Very Large Data Bases, September 12-15, 1994, Santiago de Chile, Chile. Morgan Kaufmann 1994, ISBN 1-55860-153-8
Contents BibTeX

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Referenced by

  1. Till Westmann, Donald Kossmann, Sven Helmer, Guido Moerkotte: The Implementation and Performance of Compressed Databases. SIGMOD Record 29(3): 55-67(2000)
  2. Hartmut Liefke, Dan Suciu: XMILL: An Efficient Compressor for XML Data. SIGMOD Conference 2000: 153-164
BibTeX
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