Real-Time Task Scheduling for Energy-Aware Embedded Systems
DUKE UNIV DURHAM NC DEPT OF ELECTRICALAND COMPUTER ENGINEERING
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We present a new approach for scheduling workloads containing periodic tasks in real-time systems. The proposed approach minimizes the total energy consumed by the task set and guarantees that the deadline for every periodic task is met. As embedded software becomes a larger component of system-on-a-chip design, energy management using the operating system becomes increasingly important. We present a mixed-integer linear programming model for the NP-complete scheduling problem and solve it for moderate-sized problem instances using a public-domain solver. For larger task sets, we present a novel low-energy earliest-deadline-first LEDF scheduling algorithm and apply it to two real-life task sets.
- Operations Research
- Computer Systems
- Electric Power Production and Distribution