Thermal-Aware Global Real-Time Scheduling on Multicore Systems

As the power density of modern electronic circuits increases dramatically, systems are prone to overheating. Thermal management has become a prominent issue ill system design. This paper explores thermal-aware scheduling for sporadic real-time tasks to minimize the peak temperature ill a homogeneous multicore system, ill which heat might transfer among some cores. By deriving all ideally preferred speed for each core, we propose global scheduling algorithms which call exploit the flexibility of multicore platforms at low temperature. Compared with load-balancing strategies, the proposed algorithms call significantly reduce the peak temperature by up to 30 degrees C to 70 degrees C for simulated platforms.