An online, real-time scheduler is proposed to minimize the power consumption of a task set during execution on a multiprocessor platform. The scheduler is capable of handling the spectrum of task types (periodic, sporadic, and aperiodic) as well as supporting mutually exclusive, shared resources. The solution presented is a user adjustable scheduler which ranges from producing an optimal schedule which requires the minimum power during the worst case execution scenario to producing a suboptimal schedule which aggressively minimizes power during the typical execution scenario. © 2010 Springer-Verlag.
CITATION STYLE
Nistler, P. J., & Gaudiot, J. L. (2010). Power efficient scheduling for hard real-time systems on a multiprocessor platform. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6289 LNCS, pp. 106–120). https://doi.org/10.1007/978-3-642-15672-4_10
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