A Majority consensus approach to concurrency control for multiple copy databases
ACM Transactions on Database Systems (TODS)
Concurrency control in a system for distributed databases (SDD-1)
ACM Transactions on Database Systems (TODS)
The serializability of concurrent database updates
Journal of the ACM (JACM)
Concurrency Control in Distributed Database Systems
ACM Computing Surveys (CSUR)
The notions of consistency and predicate locks in a database system
Communications of the ACM
Principles of Database Systems
Principles of Database Systems
Queueing network models for concurrent transaction processing in a database system
SIGMOD '79 Proceedings of the 1979 ACM SIGMOD international conference on Management of data
A Sophisticate's Introduction to Distributed Concurrency Control (Invited Paper)
VLDB '82 Proceedings of the 8th International Conference on Very Large Data Bases
Concurrency control performance issues
Concurrency control performance issues
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Several online schedulers of transactions are considered. The scheduling algorithms are presented in a modular and uniform way. Deadlock and livelock prevention (using restarts, if necessary) is integrated into the algorithms. A metrics is defined for comparing the behavior of two schedulers on the same set of transactions. The measure that is used makes only a very simple assumption about the transactions. This assumption is easily motivated, and thus the measure is a useful approximation of measures appearing in reality. The behavior of the schedulers is compared on the basis of user delays caused by one scheduler on logs accepted as such by another scheduler. No order of magnitude differences are found, but the examples used for proving lower bounds for the delays are illustrative of the characteristics of the schedulers.