Some Results of the Earliest Deadline Scheduling Algorithm
IEEE Transactions on Software Engineering
Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
Design considerations for solar energy harvesting wireless embedded systems
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Perpetual environmentally powered sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Real-Time Scheduling with Regenerative Energy
ECRTS '06 Proceedings of the 18th Euromicro Conference on Real-Time Systems
Designing Embedded Processors: A Low Power Perspective
Designing Embedded Processors: A Low Power Perspective
An energy aware approach for task scheduling in energy-harvesting sensor nodes
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
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Energy constrained systems can increase their usable lifetimes by extracting energy from their environment. This is known as energy harvesting. This paper investigates scheduling issues in uni-processor real time embedded systems using regenerative energy. Task scheduling should account for the properties of the regenerative energy source which fluctuates, capacity of the energy storage as well as deadlines of the time critical tasks that characterize most of real time embedded systems. In this context, designing efficient scheduling strategies is significantly more complex compared to conventional real-time scheduling. In this paper we compare several scheduling heuristics with the optimal algorithm known as LSA (Lazy Scheduling Algorithm). We report results of an experiment study in terms of percentage of deadlines satisfied.