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Energy Optimization of Mixed-Criticality Distributed Real-Time Embedded Systems.
- Source :
- Journal of Circuits, Systems & Computers; Apr2021, Vol. 30 Issue 5, pN.PAG-N.PAG, 19p
- Publication Year :
- 2021
-
Abstract
- In this paper, we propose a system-level optimization approach for mixed-criticality distributed real-time systems with safety and energy considerations. We firstly depict a mixed-criticality distributed task model for real-time applications, in which the safety of the system is influenced by dynamic voltage and frequency scaling (DVFS). Due to the huge complexity of solving the problem optimally, a heuristic algorithm is proposed to approach the system-level optimization through a quasi-static scheduling strategy. The experiments demonstrate the efficiency of the proposed approach, which can obtain energy consumption while guaranteeing the system safety requirements. [ABSTRACT FROM AUTHOR]
- Subjects :
- HEURISTIC algorithms
ENERGY consumption
SYSTEM safety
PROBLEM solving
Subjects
Details
- Language :
- English
- ISSN :
- 02181266
- Volume :
- 30
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- Journal of Circuits, Systems & Computers
- Publication Type :
- Academic Journal
- Accession number :
- 150251217
- Full Text :
- https://doi.org/10.1142/S0218126621500857