
doi: 10.1287/ijoc.8.4.428
We consider the problem of nonpreemptively scheduling periodic tasks on a minimum number of processors, assuming that the tasks have to be executed strictly periodically. We show that the problem is NP-complete in the strong sense, even in the case of a single processor, but that it is solvable in polynomial time if the periods and execution times are divisible. The latter condition generalizes the situation in which all periods and execution times are powers of 2. We also propose an approximation algorithm, which is based on successively assigning tasks to processors according to some priority rule.
Deterministic scheduling theory in operations research, nonpreemptively scheduling periodic tasks, minimum number of processors, approximation algorithm, NP-complete
Deterministic scheduling theory in operations research, nonpreemptively scheduling periodic tasks, minimum number of processors, approximation algorithm, NP-complete
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