Reliable Energy-Aware Scheduling Algorithm With Multi-Level Budget for Real-Time Embedded System

• Published in: International journal of embedded and real-time communication systems Vol. 12; no. 4; pp. 55 - 76
• Main Authors: Kumar, Ajitesh, Gupta, Sanjai Kumar
• Format: Journal Article
• Language: English
• Published: Hershey IGI Global 01.10.2021
• Subjects: Algorithms; Computation; Embedded systems; Energy consumption; Energy management; Power consumption; Power management; Real time; Scheduling; Storage capacity
• ISSN: 1947-3176; 1947-3184
• DOI: 10.4018/IJERTCS.2021100104

Energy consumption of embedded applications has rapidly increased with the advancement of technology and computing. There is a little improvement in energy consumption as compared to computing and storage capacity. Although computing performance has been continuously increasing, power/energy consumption is more critical in the design of real-time embedded systems. Real-time embedded applications need a power management technique to judicially balance the energy consumption and computing performance. It should be done in such a way that the system performance improves along with an increase in the lifespan of the system. The proposed methodology presented in this paper deals with the minimization of energy for time-critical embedded applications. Simulation studies, along with theoretical analysis, have been carried out to show the effectiveness of the proposed three-phase reliable energy-aware scheduling method. It is observed that the proposed approach provides better tolerance (approximately four times) and consumes less energy (35% to 45%) for a wide range of applications.