Proceedings Article10.1109/DISRTA.1999.807729
Resolving concurrent interactions
A. Natrajan,Paul F. Reynolds +1 more
- 23 Mar 1999
- pp 85-92
TL;DR: This work uses semantic information to help categorize common interactions encountered in the modeling and simulation domain, and suggests reasonable policies for resolving the effects of concurrent interactions.
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Abstract: Serialization, the traditional method of resolving concurrent interactions, is often inappropriate; when interactions are dependent on each other, other policies for resolving them may be more suitable. We use semantic information to help categorize common interactions encountered in the modeling and simulation domain. This categorization enables us to suggest reasonable policies for resolving the effects of concurrent interactions.
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References
•Book
Concurrency Control and Recovery in Database Systems
Philip A. Bernstein,Vassco Hadzilacos,Nathan Goodman +2 more
- 01 Feb 1987
TL;DR: In this article, the design and implementation of concurrency control and recovery mechanisms for transaction management in centralized and distributed database systems is described. But this can lead to interference between queries and updates.
4.2K
Principles of transaction-oriented database recovery
Theo Haerder,Andreas Reuter +1 more
TL;DR: A terminological framework is provided for describing different transactionoriented recovery schemes for database systems in a conceptual rather than an implementation-dependent way by introducing the terms materialized database, propagation strategy, and checkpoint, and a means for classifying arbitrary implementations from a unified viewpoint.
Concurrency Control in Distributed Database Systems
TL;DR: A survey of concurrency control methods for distributed database concurrency can be found in this paper, where the authors decompose the problem into two major subproblems, read-write and write-write synchronization, and describe a series of synchromzation techniques for solving each subproblem.
Using semantic knowledge for transaction processing in a distributed database
TL;DR: This paper investigates how the semantic knowledge of an application can be used in a distributed database to process transactions efficiently and to avoid some of the delays associated with failures.
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