Energy harvesting earliest deadline first scheduling algorithm for increasing lifetime of real time systems

In this paper, a new approach for energy minimization in energy harvesting real time systems has been investigated. Lifetime of a real time systems is depend upon its battery life.  Energy is a parameter by which the lifetime of system can be enhanced.  To work continuously and successively, energy harvesting is used as a regular source of energy. EDF (Earliest Deadline First) is a traditional real time tasks scheduling algorithm and DVS (Dynamic Voltage Scaling) is used for reducing energy consumption. In this paper, we propose an Energy Harvesting Earliest Deadline First (EH-EDF) scheduling algorithm for increasing lifetime of real time systems using DVS for reducing energy consumption and EDF for tasks scheduling with energy harvesting as regular energy supply. Our experimental results show that the proposed approach perform better to reduce energy consumption and increases the system lifetime as compared with existing approaches.

Real-Time Scheduling of Energy Harvesting Embedded Systems with Timed Automata

International audienceIn this paper, we propose feasibility and schedulability tests for a real-time scheduling problem under energy constraints. We first introduce the problem and show how to model it using timed automata. We propose then a feasibility test based on CTL model checking and schedulability tests for EDF and fixed priority algorithms. Our approach also permits to generate a feasible schedule if one exists and otherwise to find the good characteristics of a battery to make the problem feasible. It is finally possible to generate schedules that optimize some criteria, such as the number of mode switching (battery charge or discharge), the minimal and the maximal energy level, or the number of preemptions. The approach is illustrated by some experiments using the model checking tool U PPAAL