Consider fixed-priority preemptive partitioned scheduling of constrained-deadline sporadic tasks on a multiprocessor. A task generates a sequence of jobs and each job has a deadline that must be met. Assume tasks have Corunner-dependent execution times; i.e., the execution time of a job J depends on the set of jobs that happen to execute (on other processors) at instants when J executes. We present a model that describes Corunner-dependent execution times. For this model, we show that exact schedulability testing is co-NP-hard in the strong sense. Facing this complexity, we present a sufficient schedulability test, which has pseudo-polynomial-time complexity if the number of processors is fixed. We ran experiments with synthetic software benchmarks on a quad-core Intel multicore processor with the Linux/RK operating system and found that for each task, its maximum measured response time was bounded by the upper bound computed by our theory.
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Andersson et al. (2018) studied this question.
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