Energy Aware Scheduling
Energy Aware Scheduling (EAS) is a system-level concept in computing that optimizes task scheduling to minimize energy consumption while maintaining performance. It involves dynamically adjusting CPU frequencies, power states, and workload distribution based on real-time system demands and energy efficiency models. EAS is commonly implemented in operating system kernels, particularly for mobile and embedded devices, to extend battery life and reduce thermal output.
Developers should learn EAS when working on energy-constrained systems like smartphones, IoT devices, or data centers where power efficiency is critical. It's essential for optimizing battery life in mobile applications, reducing operational costs in large-scale server deployments, and meeting environmental sustainability goals. Use cases include developing low-power embedded firmware, tuning Linux kernel schedulers for ARM-based devices, or implementing green computing initiatives in cloud infrastructure.