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Multiversion divergence control of time fuzziness
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Source Conference on Information and Knowledge Management archive
Proceedings of the third international conference on Information and knowledge management table of contents
Gaithersburg, Maryland, United States
Pages: 195 - 202  
Year of Publication: 1994
ISBN:0-89791-674-3
Authors
Calton Pu  Department of Computer Science and Engineering, Oregon Graduate Institute, Portland, OR
Miu K. Tsang  IBM T.J. Watson Research Center, P.O. Box 704, Yorktown Heights, NY
Kun-Lung Wu  IBM T.J. Watson Research Center, P.O. Box 704, Yorktown Heights, NY
Philip S. Yu  IBM T.J. Watson Research Center, P.O. Box 704, Yorktown Heights, NY
Sponsors
SIGIR: ACM Special Interest Group on Information Retrieval
NIST : National Institue of Standards & Technology
UMBC : U of MD Baltimore County
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 2,   Downloads (12 Months): 17,   Citation Count: 1
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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A. Chan and R. Gray. Implementing distributed readonly transactions. IEEE Trans. on Software Engineering, SE-11(2):205-212, Feb. 1985.
 
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C. Pu, W. Hseush, G. E. Kaiser, K.-L. Wu, and P. S. Yu. Distributed divergence control for epsilon serializability. In Proc. of Int. Conf. on Distributed Computing Systems, pages 449-456, 1993.
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K. Ramamrithan and C. Pu. A formal characterization of epsflon-serializabihty. Technical Report CUCS-044- 91, Department of Computer Science, Columbia University, Dec. 1991.
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S. H. Son and S. Kouloumbis. Rephcation control for distributed real-time database systems. In Proc. of Int. Conf. on Distributed Computing Systems, pages 144- 151, 1992.
 
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Collaborative Colleagues:
Calton Pu: colleagues
Miu K. Tsang: colleagues
Kun-Lung Wu: colleagues
Philip S. Yu: colleagues