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The Sequoia 2000 Benchmark.

Michael Stonebraker, James Frew, Kenn Gardels, Jeff Meredith: The Sequoia 2000 Benchmark. SIGMOD Conference 1993: 2-11
@inproceedings{DBLP:conf/sigmod/StonebrakerFGM93,
  author    = {Michael Stonebraker and
               James Frew and
               Kenn Gardels and
               Jeff Meredith},
  editor    = {Peter Buneman and
               Sushil Jajodia},
  title     = {The Sequoia 2000 Benchmark},
  booktitle = {Proceedings of the 1993 ACM SIGMOD International Conference on
               Management of Data, Washington, D.C., May 26-28, 1993},
  publisher = {ACM Press},
  year      = {1993},
  pages     = {2-11},
  ee        = {http://doi.acm.org/10.1145/170035.170038},
  crossref  = {DBLP:conf/sigmod/93},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

This paper presents a benchmark that concisely captures the data base requirements of a collection of Earth Scientists working in the SEQUOIA 2000 project on various aspects of global change research. This benchmark has the novel characteristic that it uses real data sets and real queries that are representative of Earth Science tasks. Because it appears that Earth Science problems are typical of the problems of engineering end scientific DBMS users, we claim that this benchmark represents the needs of this more general community. Also included in the paper are benchmark results for three example DBMSs: GRASS, IPW and POSTGRES.

Copyright © 1993 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


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Peter Buneman, Sushil Jajodia (Eds.): Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, Washington, D.C., May 26-28, 1993. ACM Press 1993 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML, SIGMOD Record 22(2), June 1993
Contents

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