As many IoT systems deploy machine learning models to implement intelligent functions, the reliability and performance assurance of artificial intelligence and the Internet of Things (AIoT) system is becoming a crucial issue. While reliability of AIoT system outputs can be improved by redundancy using multiple input data, the system involves performance and energy overheads that may be unacceptable in real deployment under limited computing resources. To ensure the performance and energy-efficiency of AIoT systems, this paper proposes the queueing models for multi-input AIoT systems in two different architectures, namely the parallel and the shared architectures, and compares them with respe... More >