Real Time System Energy-Aware Scheduling
![Ríad M. Nassiffe](/authors/riad/avatar_hu270b3a16fe4ac7e6c97c6faf48534d89_815403_50x50_fill_q75_h2_lanczos_center.webp)
![](/project/rts_energy-aware_scheduling/featured_huc4b20b442a42dbd817bc5bae62530bb6_10737_1d981f307fb3afbc38a264b07ed145ce.webp)
This project was developed during my Master and PhD studies. It is a framework for dynamic reconfiguration, value-based processor resource allocation in multi-modal or not real-time applications, under schedulability, energy consumption and temperature constraints. The framework is suitable for critical and soft real-time adaptive embedded systems which need guarantees of energy savings. The dynamic allocation is formulated as a discrete and continuous (convex and piecewise linear) optimization problem, for which efficient algorithms were tested. Although the discrete problem is NP-Hard, the others have efficient solution and numerical analysis and simulations have shown that the used algorithms and models achieves very good results, with low computational cost.
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