Q-scheduler: A temperature and energy-aware deep Q-learning technique to schedule tasks in real-time multiprocessor embedded systems.
Mahsa MohammadiHakem BeitollahiPublished in: IET Comput. Digit. Tech. (2022)
Keyphrases
- embedded systems
- energy aware
- scheduling algorithm
- real time systems
- low cost
- real time
- smart home
- resource limited
- embedded devices
- wireless sensor networks
- high performance computing
- energy consumption
- routing protocol
- cooperative
- reinforcement learning
- response time
- energy efficiency
- field programmable gate array
- software systems
- cost effective
- routing algorithm
- multi agent
- distributed systems
- sensor networks
- scheduling problem
- fine grained