An introduction to database systems: vol. I (4th ed.)
An introduction to database systems: vol. I (4th ed.)
The Escrow transactional method
ACM Transactions on Database Systems (TODS)
A measure of transaction processing power
Datamation
On optimistic methods for concurrency control
ACM Transactions on Database Systems (TODS)
The Recovery Manager of the System R Database Manager
ACM Computing Surveys (CSUR)
Concurrency on high-traffic data elements
PODS '82 Proceedings of the 1st ACM SIGACT-SIGMOD symposium on Principles of database systems
Using a relational system on Wall Street: the good, the bad, the ugly, and the ideal
Communications of the ACM
Performance evaluation of semantics-based multilevel concurrency control protocols
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
ACM Transactions on Database Systems (TODS)
An object-based programming model for shared data
ACM Transactions on Programming Languages and Systems (TOPLAS)
Concurrency control: methods, performance, and analysis
ACM Computing Surveys (CSUR)
Triggered Real-Time Databases with Consistency Constraints
VLDB '90 Proceedings of the 16th International Conference on Very Large Data Bases
Managing Temporal Financial Data in an Extensible Database
VLDB '93 Proceedings of the 19th International Conference on Very Large Data Bases
An Adaptable Constrained Locking Protocol for High Data Contention Environments
DASFAA '99 Proceedings of the Sixth International Conference on Database Systems for Advanced Applications
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Though in general, current database systems adequately support application development and operation for online transaction processing (OLTP), increasing complexity of applications and throughput requirements reveal a number of weaknesses with respect to the data model and implementation techniques used. By presenting the experiences gained from a case study of a large, high volume stock trading system, representative for a broad class of OLTP applications, it is shown, that this particularly holds for dealing with high frequency access to a small number of data elements (hot spots). As a result, we propose extended data types and several novel mechanisms, which are easy to use and highly increase the expressional power of transaction oriented programming, that effectively cope with hot spots. Moreover, their usefulness and their ability to increased parallelism is exemplified by the stock trading application.