Name
Abstract | ||
|---|---|---|
The new generation of embedded systems will have the capability to harvest energy from the environment. The electrical energy which is available to power these devices changes over time and is limited by the size of the energy storage unit such as battery or capacitor and the size of the harvester such as a solar panel. In order to cope with this limitation, the system has to dynamically decide when to be active and when to sleep in order to provide the best quality of service without wasting the harvested energy. In this paper, we study this problem for a uniprocessor architecture where periodic tasks have to execute with deadline constraints according to a preemptive fixed priority rule. We evaluate and compare several scheduling approaches by means of simulation. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/GreenCom.2011.17 | Green Computing and Communications |
Keywords | Field | DocType |
energy storage unit,preemptive fixed priority rule,deadline constraint,fixed priority scheduling strategies,electrical energy,new generation,harvest energy,best quality,periodic task,embedded system,devices change,energy harvesting,real time systems,schedules,energy states,embedded systems,energy storage | Energy storage,Fixed-priority pre-emptive scheduling,Uniprocessor system,Scheduling (computing),Computer science,Energy harvesting,Schedule,Earliest deadline first scheduling,Dynamic priority scheduling,Embedded system | Conference |
ISBN | Citations | PageRank |
978-0-7695-4466-3 | 6 | 0.54 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| thibault | 1 | 333 | 40.40 |
| Damien Masson | 2 | 42 | 6.22 |
| Serge Midonnet | 3 | 77 | 13.13 |