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The problem of identifying suitable conditions for the schedulability of (non-preemptive) recurring tasks with deadlines is of great importance to real-time systems. In this article, motivated by the problem of scheduling radar dwells, we show that scheduling problems of this nature show a sharp threshold behavior with respect to system utilization. Sharp thresholds are associated with phase transitions: when the utilization of a task set is less than a critical value it can be scheduled almost surely, and when the utilization increases beyond the critical level almost no task set can be scheduled. We make connections to work on random graphs to prove sharp threshold behavior in the scheduling problem of interest. Using extensive experiments, we determine the threshold for the radar dwell scheduling problem and use it for performance optimization. The connections to random graph theory suggest new ways for understanding the average-case behavior of scheduling policies. These results emphasize the ease with which performance can be controlled in a variety of real-time systems.
Real-time systems and embedded systems, Real time, Scheduling, Constraint satisfaction, Heuristic methods
Lui Sha, Sathish Gopalakrishnan, Marco Caccamo, "Sharp Thresholds for Scheduling Recurring Tasks with Distance Constraints", IEEE Transactions on Computers, vol. 57, no. , pp. 344-358, March 2008, doi:10.1109/TC.2007.70808
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