Skip to main navigation Skip to search Skip to main content

On Using Similarity for Resolving Conflicts at Commit in Mixed Distributed Real-time Databases

Chung-leung Pang, Kam-yiu Lam

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

In a distributed real-time database system (DRTDBS), transaction atomicity is ensured by commit protocol. If data conflict occurs between executing and committing transactions, system's performance will be affected. In this paper, based on the deadline driven conflict resolution (DDCR) approach proposed by Lam et al. (1997), we propose an enhancement called the DDCR with similarity (DDCR-S), to resolve the executing-committing conflicts in a DRTDBS with mixed requirements of criticality and consistency transactions. In the DDCR-S, conflicts involving transactions with looser consistency requirement, the notion of similarity is adopted so that a higher degree of concurrency can be achieved and at the same time the consistency requirements of the transactions can still be met. Simulation experiments have been performed and the results have shown that the use of DDCR-S can significantly improve the overall system performance.
Original languageEnglish
Title of host publicationProceedings - Fifth International Conference on Real-Time Computing Systems and Applications
PublisherIEEE
ISBN (Print)0-8186-9209-X
DOIs
Publication statusPublished - Oct 1998
Event5th International Conference on Real-Time Computing Systems and Applications, RTCSA 1998 - Hiroshima, Japan
Duration: 27 Oct 199829 Oct 1998

Publication series

NameProceedings - International Conference on Real-Time Computing Systems and Applications, RTCSA
Volume1998-October

Conference

Conference5th International Conference on Real-Time Computing Systems and Applications, RTCSA 1998
PlaceJapan
CityHiroshima
Period27/10/9829/10/98

Fingerprint

Dive into the research topics of 'On Using Similarity for Resolving Conflicts at Commit in Mixed Distributed Real-time Databases'. Together they form a unique fingerprint.

Cite this