Energy-driven proportional fair scheduling for industrial measurement devices

Utilization Control and Optimization of Real-Time Embedded Systems

“…Xu et al in [73] minimized the energy consumption while satisfying the throughput and response time requirement with an energy-aware scheduling algorithm in the context of content streaming. Bruns et al in [5] considered the proportional fairness in power-aware scheduling, and developed an approach to guarantee the availability of sufficient energy for all real-time tasks. To avoid reliability degradation due to thermal hot spots and high temperature gradients on MPSoCs, Coskun et al in [15] proposed a temperatureaware scheduling algorithm.. To address the aging issue, Huang et al in [29] developed a lifetime-and reliability-aware task allocation and scheduling scheme.…”