Real-time transaction processing: design, implementation, and performance evaluation
Real-time transaction processing: design, implementation, and performance evaluation
Concurrency control algorithms for real-time database systems
Concurrency control algorithms for real-time database systems
Real-Time Systems
Real-Time Database Systems: Architecture and Techniques
Real-Time Database Systems: Architecture and Techniques
A Study of Index Structures for Main Memory Database Management Systems
VLDB '86 Proceedings of the 12th International Conference on Very Large Data Bases
Performance Evaluation on a Real-Time Database
RTAS '02 Proceedings of the Eighth IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'02)
Managing contention and timing constraints in a real-time database system
RTSS '95 Proceedings of the 16th IEEE Real-Time Systems Symposium
Towards the evaluation of algorithms used in real-time databases
ACMOS'05 Proceedings of the 7th WSEAS international conference on Automatic control, modeling and simulation
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Many applications supported by a database management system are characterized by the requirement of timely access to the underlying database today. It is very difficult to achieve guaranteed real time database services when putting a database into a real-time environment because various components can compete for system resources. Previous research in real-time databases has focused primarily on evolution and evaluation of transaction processing algorithms, priority assignment strategies and concurrency control techniques. But for the most part the research efforts are based only on simulation studies with many parameters defined. Our objective is to design and implement an experimental real-time database system suitable for study of real time transaction processing. The experimental system is implemented as an integrated set of the most important functional parts of a veritable real-time database system. It serves as a support platform for performance evaluation of known and new algorithms of the particular processing components, including CPU scheduling, concurrency control and conflict resolution strategies. Because of the strong interactions among the processed components, proposed system can help us to understand their effect on system performance and to identify the most influencing factors.