Description: Overhead reduction involves strategies to minimize the additional resources consumed by a system. In the context of real-time operating systems, this translates to optimizing task management and resource allocation, ensuring that critical operations are performed without unnecessary delays. In automation with artificial intelligence, overhead reduction refers to simplifying processes and eliminating redundant tasks, allowing AI algorithms to operate more efficiently. In terms of performance optimization, the goal is to maximize system efficiency while minimizing memory and CPU usage, resulting in better overall performance. In networking protocols, overhead reduction relates to optimizing network traffic and improving convergence, allowing devices to exchange information more effectively. Lastly, in the context of emulation and virtualization, overhead reduction focuses on improving the efficiency of virtualized hardware, enabling multiple operating systems to run simultaneously with minimal resource usage.
