Abstract
In this paper, we present a new energy-aware scheduling scheme for real-time applications using architectures that employ voltage scaling technologies. Both dynamic voltage scaling (DVS) and dynamic threshold voltage scaling (DVTHS) can benefit from this scheduling scheme. The start time of each task is adapted to enhance the efficiency of voltage scaling schemes while still satisfying the required time feasibility. The introduced scheduling scheme is able to escape local minima and it can generate near-optimal schedules in terms of energy reduction. The scheduling paradigm is integrated into our automated and multiobjective system-level co-synthesis tool that performs system optimization. We report in this paper up to about 30% higher energy reduction compared to only performance-aware scheduling.
We are grateful indeed that DAAD (German Academic Exchange Service) supports this research since 2002.
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Mohsen, A., Hofmann, R. (2005). Near Optimal and Energy-Efficient Scheduling for Hard Real-Time Embedded Systems. In: Yang, L.T., Amamiya, M., Liu, Z., Guo, M., Rammig, F.J. (eds) Embedded and Ubiquitous Computing – EUC 2005. EUC 2005. Lecture Notes in Computer Science, vol 3824. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596356_26
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DOI: https://doi.org/10.1007/11596356_26
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