High Contention in a Stock Trading Database: A Case Study.
Peter Peinl, Andreas Reuter, Harald Sammer:
High Contention in a Stock Trading Database: A Case Study.
SIGMOD Conference 1988: 260-268@inproceedings{DBLP:conf/sigmod/ReuterS88,
author = {Peter Peinl and
Andreas Reuter and
Harald Sammer},
editor = {Haran Boral and
Per-{\AA}ke Larson},
title = {High Contention in a Stock Trading Database: A Case Study},
booktitle = {Proceedings of the 1988 ACM SIGMOD International Conference on
Management of Data, Chicago, Illinois, June 1-3, 1988},
publisher = {ACM Press},
year = {1988},
pages = {260-268},
ee = {http://doi.acm.org/10.1145/50202.50234, db/conf/sigmod/ReuterS88.html},
crossref = {DBLP:conf/sigmod/88},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Abstract
Though in general, current database systems adequately support application development and operation for online transaction processing (OLTP), increasing complexity of applications and throughput requirements reveal a number of weaknesses with respect to the data model and implementation techniques used. By presenting the experiences gained from a case study of a large, high volume stock trading system, representative for a broad class of OLTP applications, it is shown, that this particularly holds for dealing with high frequency access to a small number of data elements (hot spots). As a result, we propose extended data types and several novel mechanisms, which are easy to use and highly increase the expressional power of transaction oriented programming, that effectively cope with hot spots. Moreover, their usefulness and their ability to increased parallelism is exemplified by the stock trading application.
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Printed Edition
Haran Boral, Per-Åke Larson (Eds.):
Proceedings of the 1988 ACM SIGMOD International Conference on Management of Data, Chicago, Illinois, June 1-3, 1988.
ACM Press 1988
,
SIGMOD Record 17(2), June 1988
Contents
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Copyright © Tue Dec 1 16:25:26 2009
by Michael Ley (ley@uni-trier.de)