RTSS '96 Proceedings of the 17th IEEE Real-Time Systems Symposium
Optimal Partitioning for Quantized EDF Scheduling
RTSS '02 Proceedings of the 23rd IEEE Real-Time Systems Symposium
Stochastic Analysis of Periodic Real-Time Systems
RTSS '02 Proceedings of the 23rd IEEE Real-Time Systems Symposium
Efficient and robust probabilistic guarantees for real-time tasks
Journal of Systems and Software
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Real-time scheduling usually considers worst-case values for the parameters of task (or message stream) sets, in order to provide safe schedulability tests for hard real-time systems. However, worst-case conditions introduce a level of pessimism that is often inadequate for a certain class of (soft) real-time systems. In this paper we provide an approach for computing the stochastic response time of tasks where tasks have inter-arrival times described by discrete probabilistic distribution functions, instead of minimum inter-arrival (MIT) values.