Abstract
Multi-core processors, are being implemented in embedded real-time systems because of the increasing computational requirements. And as the demand for concurrent processing and increased energy efficiency grows, power management is now of primary importance. This paper tackles the problem of reducing power consumption for multi-core embedded real-time system. the processor of the system is assumed to have the limitation that all cores must run at the same performance level and implemented Dynamic voltage and frequency scaling (DVS). We proposed a novel scheduling algorithm use Earliest Deadline First (EDF) [1] to guarantee meeting the deadlines of all real time task sets for each core and to make DVS more efficiency. Meanwhile, we considered about leakage power as well. The DVS-EDF algorithm we proposed can save energy more than Simple Power-Aware Scheduling [2] algorithm ranging from 3% to 12%.
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Huang, X., Li, K., Li, R. (2009). A Energy Efficient Scheduling Base on Dynamic Voltage and Frequency Scaling for Multi-core Embedded Real-Time System. In: Hua, A., Chang, SL. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2009. Lecture Notes in Computer Science, vol 5574. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03095-6_14
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DOI: https://doi.org/10.1007/978-3-642-03095-6_14
Publisher Name: Springer, Berlin, Heidelberg
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