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Since multi-core processors have become a primary trend in processor development, new scheduling algorithms are needed to minimize power consumption while achieving the desired timeliness guarantees for multi-core (and many-core) real-time embedded systems. Although various power/energy efficient scheduling algorithms have recently been proposed, existing studies may have degraded runtime performance in terms of power/energy efficiency and real-time guarantees when applied to real-time embedded systems with uncertain execution times. In this paper, the authors propose a novel online solution that integrates core-level feedback control with processor-level optimization to minimize both the dynamic and leakage power consumption of a multi-core real-time embedded system.
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