Time and Energy Efficient DVS Scheduling for Real-Time Pinwheel Tasks

Adaptive energy-efficient scheduling for real-time tasks on DVS-enabled heterogeneous clusters

Developing energy-efficient clusters not only can reduce power electricity cost but also can improve system reliability. Existing scheduling strategies developed for energy-efficient clusters conserve energy at the cost of performance. The performance problem becomes especially apparent when cluster computing systems are heavily loaded. To address this issue, we propose in this paper a novel sc...

Energy-Efficient Multi-Core Scheduling for Real-Time DAG Tasks

In this work, we study energy-aware real-time scheduling of a set of sporadic Directed Acyclic Graph (DAG) tasks with implicit deadlines. While meeting all real-time constraints, we try to identify the best task allocation and execution pattern such that the average power consumption of the whole platform is minimized. To the best of our knowledge, this is the first work that addresses the powe...

Real-Time Scheduling with DVS and Harvesting Energy Constraints

In real-time embedded system, that must carry their own power source and cannot depends on the power outlet on the wall, apart from feasibly schedule the set of tasks, power management is also the major issue because without power the system is useless. In this paper, we propose a harvesting aware real-time scheduling algorithm with variable speed assignment scheme to set of periodic tasks aims...

Energy Efficient Real Time Scheduling of Dependent Tasks Sharing Resources

In the design of embedded systems, it is very important to reduce energy consumption and thus prolong battery life in everywhere existed battery-powered embedded systems. Dynamic voltage scaling (DVS) processors, which support many operating voltages and speeds, can efficiently reduce energy consumption by making appropriate decisions on the processor speed/voltage during the scheduling of real...

Real-Time Loop Scheduling with Energy Optimization Via DVS and ABB for Multi-core Embedded System