Browsing by Author "Perez Rodriguez, Javier"
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- Thermal-Aware Schedulability Analysis for Fixed-Priority Non-preemptive Real-Time SystemsPublication . Perez Rodriguez, Javier; Meumeu Yomsi, PatrickTechnology advances in microprocessor design have resulted in high device density and performance during the last decades. More components are fabricated on the chip die and millions, if not billions, of instructions can now be executed within microseconds. A consequence of this advancement is heat dissipation by the microprocessors. In this context, elevated on-chip temperature issues have become an important subject for the design of future generations of microprocessors, especially in avionics and automotive industries. In this paper, we address the scheduling problem of non-preemptive periodic tasks on a single processor platform under thermal-aware design. We assume that the tasks are scheduled by following any Fixed-Task-Priority (FTP) scheduler (e.g., Rate Monotonic (RM) or Deadline Monotonic (DM)) and we propose a unique framework wherein we capture both the temporal and thermal behavior of the system. Then, we present two new thermal-aware scheduling strategies, referred to as NP-HBC and NP-CBH, to keep the system temperature within specified parameters and we derive their respective schedulability analysis. Finally, we evaluate the performance of the proposed theoretical results through intensive simulations.
- Towards Robust and Cost-Effective Critical Real-Time Systems under Thermal-Aware DesignPublication . Meumeu Yomsi, Patrick; Perez Rodriguez, JavierThe advent of multi-core platforms in critical realtime domains such as the avionics, automotive and railways to achieve higher and higher computing performances has turned the view on thermal concerns of the underlying chip die while it is still mandatory to meet all the temporal constraints. As a matter of fact, high chip temperature may not only degrade system performance and reliability, but it may also damage the chip permanently. We propose a methodology to address this problem, based on fixed task-to-core mapping and per-core analysis to derive a sound system model without feedback loops. To this end, it is important to have a better and deeper understanding of the existing thermal models in the literature. This is the main contribution of this research.