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Arxiv
1d
223
Image Credit: Arxiv
Dynamic Operating System Scheduling Using Double DQN: A Reinforcement Learning Approach to Task Optimization
- An operating system scheduling algorithm based on Double DQN (Double Deep Q network) is proposed.
- The algorithm dynamically adjusts task priority and resource allocation strategy, improving task completion efficiency, system throughput, and response speed.
- Experimental results show that the Double DQN algorithm performs well under different system loads and is particularly effective for I/O intensive tasks.
- The algorithm also demonstrates high optimization ability in resource utilization and can intelligently adjust resource allocation based on the system state.
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