Energy Efficient Real-Time Tasks Scheduling on High-Performance Edge-Computing Systems Using Genetic Algorithm

Energy Efficient Real-Time Tasks Scheduling on High-Performance Edge-Computing Systems Using Genetic Algorithm

With an increase in the number of processing cores or systems, the high-performance edge-computing system’s power consumption along with its computational speed will increase, essentially. However, this comes at the expense of high-energy utilization. One notable solution to reduce the en...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Hameed Hussain, Muhammad Zakarya, Ahmad Ali, Ayaz Ali Khan, Mohammad Reza Chalak Qazani, Mahmood Al-Bahri, Muhammad Haleem
Format: Artykuł
Język:English
Wydane: IEEE 2024-01-01
Seria:IEEE Access
Hasła przedmiotowe:
Genetic algorithm
edge-computing
multi-core
real-time systems
feasibility analysis
HPC
Dostęp online:https://ieeexplore.ieee.org/document/10499799/

Internet

https://ieeexplore.ieee.org/document/10499799/

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