Consistency in a partitioned network: a survey
ACM Computing Surveys (CSUR)
Concurrency control and recovery in database systems
Concurrency control and recovery in database systems
Readings in database systems
SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
Quasi serializability: a correctness criterion for global concurrency control in InterBase
VLDB '89 Proceedings of the 15th international conference on Very large data bases
Ensuring transaction atomicity in multidatabase systems
PODS '92 Proceedings of the eleventh ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
The Theory of Database Concurrency Control
The Theory of Database Concurrency Control
Maintaining Quasi Serializability in Multidatabase Systems
Proceedings of the Seventh International Conference on Data Engineering
Notes on Data Base Operating Systems
Operating Systems, An Advanced Course
Application Specific Transaction Management in MultidatabaseSystems
Distributed and Parallel Databases
Multi-site distributed database transactions utilizing deferred update
SAC '97 Proceedings of the 1997 ACM symposium on Applied computing
Mobile Computing in Military Ambulatory Care
CBMS '97 Proceedings of the 10th IEEE Symposium on Computer-Based Medical Systems (CBMS '97)
Global transaction control with multilevel security environments
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
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Replication is useful in multidatabase systems (MDBSs) because, as in traditional distributed database systems, it increases data availability in the presence of failures and decreases data retrieval costs by reading local or close copies of data. Concurrency control, however, is more difficult in replicated MDBSs than in ordinary distributed database systems. This is the case not only because local concurrency controllers may schedule global transactions inconsistently, but also because local transactions (at different sites) may access the same replicated data. In this article, we propose a decentralized concurrency control protocol for a replicated MDBS. The proposed strategy supports prompt and consistent updates of replicated data by both local and global applications without a central coordinator.