A Design of AI-powered Device Driver in Operating system Environment
DOI:
https://doi.org/10.48001/978-81-980647-6-9-8Keywords:
Operating System, Device drivers, User Driver, Device Driver OptimizationAbstract
Device drivers are crucial for facilitating communication between the operating system (OS) and hardware devices. However, poorly optimized drivers can lead to slower performance, higher power consumption, and system instability. This report explores the design of an Artificial Intelligence (AI)-based approach to enhance the performance of device drivers. The proposed system utilizes real-time feedback from the operating system to enable drivers to adjust and optimize their performance dynamically. By considering system factors such as latency and power consumption, the driver can make automatic improvements to reduce delays, conserve energy, and boost overall efficiency. Furthermore, predictive techniques allow the driver to anticipate future resource demands, enabling proactive adjustments, while anomaly detection methods can identify and address potential issues before they arise. This AI-driven approach allows for more intelligent and adaptive device drivers, leading to better resource management and energy savings. Additionally, these drivers can detect and resolve issues autonomously, improving system reliability and stability. While challenges such as ensuring real-time performance and obtaining sufficient data for training exist, integrating AI into device drivers represents a significant advancement in system optimization. Future work will aim to further refine this technology to accommodate diverse hardware configurations and operating system versions, making device drivers more efficient and adaptable over time.
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