scholarly journals Power Management and Tasks Scheduling Analysis in Power-Aware Real-Time Systems

2012 ◽  
Vol 33 ◽  
pp. 188-194
Author(s):  
Jingyu Xing ◽  
Zhang Feng
Keyword(s):  
Real Time ◽  
Power Management ◽  
Real Time Systems ◽  
Scheduling Analysis ◽  
Tasks Scheduling ◽  
Time Systems

scholarly journals Applying real-time interface and calculus for dynamic power management in hard real-time systems

2011 ◽  
Vol 47 (2) ◽  
pp. 163-193 ◽  
Author(s):  
Kai Huang ◽  
Luca Santinelli ◽  
Jian-Jia Chen ◽  
Lothar Thiele ◽  
Giorgio C. Buttazzo
Keyword(s):  
Real Time ◽  
Power Management ◽  
Dynamic Power Management ◽  
Real Time Systems ◽  
Dynamic Power ◽  
Hard Real Time ◽  
Time Systems

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

2019 ◽  
Vol 118 (4) ◽  
pp. 160
Author(s):  
G. Madhumita ◽  
G. Rajini ◽  
B. Subisha
Keyword(s):  
Energy Consumption ◽  
Energy Harvesting ◽  
Real Time ◽  
Scheduling Algorithm ◽  
Earliest Deadline First ◽  
Real Time Systems ◽  
Tasks Scheduling ◽  
Time Systems ◽  
Earliest Deadline ◽  
Reducing Energy

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.  

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