Multiversion Divergence Control of Time Fuzziness.
Calton Pu, Miu K. Tsang, Kun-Lung Wu, Philip S. Yu:
Multiversion Divergence Control of Time Fuzziness.
CIKM 1994: 195-202@inproceedings{DBLP:conf/cikm/PuTWY94,
author = {Calton Pu and
Miu K. Tsang and
Kun-Lung Wu and
Philip S. Yu},
title = {Multiversion Divergence Control of Time Fuzziness},
booktitle = {Proceedings of the Third International Conference on Information
and Knowledge Management (CIKM'94), Gaithersburg, Maryland, November
29 - December 2, 1994},
publisher = {ACM},
year = {1994},
pages = {195-202},
ee = {db/conf/cikm/PuTWY94.html, http://doi.acm.org/10.1145/191246.191278},
crossref = {DBLP:conf/cikm/94},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
Epsilon Serializability (ESR) has been proposed to manage and control inconsistency in extending
the classic transaction processing. ESR increases system concurrency by tolerating a bounded
amount of inconsistency. In this paper, we present multiversion divergence control (mvDC) algorithms
that support ESR with not only value but also time fuzziness in multiversion databases. Unlike value
fuzziness, accumulating time fuzziness is semantically different. A simple summation of the length of
two time intervals may either underestimate the total time fuzziness, resulting in incorrect execution,
or overestimate the total time fuzziness, unnecessarily degrading the effectiveness of mvESR. We
present a new operation, called TimeUnion, to accurately accumulate the total time fuzziness.
Because of the accurate control of time and value fuzziness by the mvDC algorithm, mvESR is very
suitable for the use of multiversion databases for real-time applications that may tolerate a limited
degree of data inconsistency but prefer more data recency.
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Proceedings of the Third International Conference on Information and Knowledge Management (CIKM'94), Gaithersburg, Maryland, November 29 - December 2, 1994.
ACM 1994
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