Abstract: A reliability evaluation method for a multi-state distributed network system is provided. The network system includes a network topology of Internet of Things (IoT) devices, edge servers, cloud servers, transmission nodes and transmission arcs. The capacity of the transmission arc is regarded as a random multi-state. The data generated by the IoT devices are transmitted to the edge servers. After processing and compression by the edge servers, the data are transmitted to the cloud servers for calculation. System reliability is defined as the probability that a specific amount of data can be successfully transferred from the IoT devices to the cloud servers. Algorithms are used to calculate the transmission mechanism between the IoT devices, the edge servers, and the cloud servers, evaluate the quality and reliability of multi-state distributed network systems, and further serve as an indicator of system management. Sensitivity analysis is also used to improve quality.

Abstract: A reliability evaluation method for a multi-state distributed network system is provided. The network system includes a network topology of Internet of Things (IoT) devices, edge servers, cloud servers, transmission nodes and transmission arcs. The capacity of the transmission arc is regarded as a random multi-state. The data generated by the IoT devices are transmitted to the edge servers. After processing and compression by the edge servers, the data are transmitted to the cloud servers for calculation. System reliability is defined as the probability that a specific amount of data can be successfully transferred from the IoT devices to the cloud servers. Algorithms are used to calculate the transmission mechanism between the IoT devices, the edge servers, and the cloud servers, evaluate the quality and reliability of multi-state distributed network systems, and further serve as an indicator of system management. Sensitivity analysis is also used to improve quality.