QoS Management in Replicated Real Time Databases
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
Managing Deadline Miss Ratio and Sensor Data Freshness in Real-Time Databases
IEEE Transactions on Knowledge and Data Engineering
Real-Time Databases and Data Services
Real-Time Systems
Wireless real-time on-demand data broadcast scheduling with dual deadlines
Journal of Parallel and Distributed Computing
The V4DB testbed: evaluating of real-time database transaction processing strategies
ICCOMP'07 Proceedings of the 11th WSEAS International Conference on Computers
The V4DB project - support platform for testing the algorithms used in real-time databases
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
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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We have implemented an object-oriented real-time database system called BeeHive. Using BeeHive, the performance of two data-deadline cognizant scheduling policies, called EDDF and EDF-DC, and a baseline EDF policy all with/without admission control are evaluated through extensive experiments. We identify the ranges where data-deadline cognizant scheduling policies are effective. We also show that when admission control is used it plays a more significant role than specialized real-time data cognizant policies. Our admission control policy considers not only CPU utilizations, but also I/O requirements and utilizations. These results represent one of the few sets of experimental results found for an implemented real-timedatabase; almost all previous results are via simulation.