Dynamic and Order Preserving Data Partitioning for Database Machines.

Esen A. Ozkarahan, Aris M. Ouksel: Dynamic and Order Preserving Data Partitioning for Database Machines. VLDB 1985: 358-368

@inproceedings{DBLP:conf/vldb/OzkarahanO85,
  author    = {Esen A. Ozkarahan and
               Aris M. Ouksel},
  editor    = {Alain Pirotte and
               Yannis Vassiliou},
  title     = {Dynamic and Order Preserving Data Partitioning for Database Machines},
  booktitle = {VLDB'85, Proceedings of 11th International Conference on Very
               Large Data Bases, August 21-23, 1985, Stockholm, Sweden},
  publisher = {Morgan Kaufmann},
  year      = {1985},
  pages     = {358-368},
  ee        = {db/conf/vldb/OzkarahanO85.html},
  crossref  = {DBLP:conf/vldb/85},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

The I/O bottleneck represents a major problem in architectures hat have been pro- posed to implement hard database operations such as join and projection. It is recognized that solutions to this problem cannot be based on new database machine architectures alone if satisfactory performance goals are to be atteined. A case in point is illustrated by the comparison of cellular/associative and in- stream pipeline based architectures.A metho- dology based on a global order preserving and dynamic partitioning is presented. The relevance of this approach to the solution of the I/O bottleneck problem is demonstrated through the efficient parallel processing of the join and projection operations. Finaly, this methodology is incorporatated into a specific database machine architecture; namely, the RAP.3 database machine. The partitioning strategy has been previously proven to be supe- rior to he other known methods.

Copyright © 1985 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.

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Contents

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