Open AccessOptimal Real-Time Scheduling Algorithm for harvesting energy environment
Author(s) -
Mona Kumari,
Ajitesh Kumar
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1116/1/012058
Subject(s) - computer science , energy harvesting , scheduling (production processes) , energy consumption , real time computing , energy management , task (project management) , power consumption , energy (signal processing) , time constraint , power management , algorithm , embedded system , power (physics) , distributed computing , mathematical optimization , electrical engineering , engineering , mathematics , statistics , physics , systems engineering , quantum mechanics , law , political science
Now a day, most of the electronic devices are battery operated and the performance of these devices is depend upon battery power. For the concern of feasible scheduling in real time operated system, need to manage battery power. The energy consumption in mobile devices is depends upon power management. In this article we proposed an optimal real time scheduling algorithm with constraint of harvesting energy, where every task set having flexible speed to manage the energy consumption. The experimental result shows that this optimal algorithm allows the task to execute on assigned speed that will reduce the overall energy consumption. Proposed algorithm give better management of harvesting energy and also gives 10- 15% better result in term of available energy after execution of task in compare to existing DVFS algorithm.