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PREDATOR: a resource for database research

Published: 01 March 1998 Publication History

Abstract

This paper describes PREDATOR, a freely available object-relational database system that has been developed at Cornell University. A major motivation in developing PREDATOR was to create a modern code base that could act as a research vehicle for the database community. Pursuing this goal, this paper briefly describes several features of the system that should make it attractive for database research and education.

References

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Shoring up Persistent Objects : M. J. Carey, et. al. SIGMOD 1994.
[2]
The Case for Enhanced Abstract Data Types : P. Seshadri, et. al. VLDB 1997.
[3]
Access Path Selection in a Relational Database Management System : P. G. Selinger, et. al. SIGMOD 1979.
[4]
The Sequoia 2000 Storage Benchmark : M. Stonebraker, et. al. SIGMOD 1993.

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Information

Published In

cover image ACM SIGMOD Record
ACM SIGMOD Record  Volume 27, Issue 1
March 1998
103 pages
ISSN:0163-5808
DOI:10.1145/273244
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 March 1998
Published in SIGMOD Volume 27, Issue 1

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Cited By

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  • (2017)Big Data Management: What to Keep from the Past to Face Future Challenges?Data Science and Engineering10.1007/s41019-017-0043-32:4(328-345)Online publication date: 10-Aug-2017
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  • (2011)Relational languages and data models for continuous queries on sequences and data streamsACM Transactions on Database Systems10.1145/1966385.196638636:2(1-32)Online publication date: 2-Jun-2011
  • (2010)Towards effective road condition state video-based Web consulting: Augmented video databaseIEEE 8th International Symposium on Intelligent Systems and Informatics10.1109/SISY.2010.5647111(505-509)Online publication date: Sep-2010
  • (2008)Query processing of multi-way stream window joinsThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-006-0017-y17:3(469-488)Online publication date: 1-May-2008
  • (2007)Query suspend and resumeProceedings of the 2007 ACM SIGMOD international conference on Management of data10.1145/1247480.1247542(557-568)Online publication date: 11-Jun-2007
  • (2007)On Suspending and Resuming Dataflows2007 IEEE 23rd International Conference on Data Engineering10.1109/ICDE.2007.368995(1289-1291)Online publication date: Apr-2007
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