Mathematical Modeling for Fault Tolerant Identification of Small Time scale Network Interruptions

With the rapid development of computer networks, the types and quantities of network failures are also significantly increasing. To apply fault-tolerant recognition to the detection of network interruption faults, a small-scale mathematical model for fault-tolerant recognition of network interruption faults is constructed. Firstly, small-scale network interrupts are identified. Then, fault-tolerant recognition is used to mathematically model network interrupts. Finally, simulation experiments are used to verify the performance of the mathematical model. The results showed that the successful running rates of the constructed mathematical model in random mode and hot mode were 89.63% and 81.95%, respectively. Under the same ratio, the average utilization rates in random mode and hotspot mode are 87.53% and 88.21%, respectively. This indicates that under the same conditions, the model has a high resource utilization rate, which can better complete data transmission. This verifies the application effect of the fault-tolerant recognition mathematical model in small-scale network interruption faults, aiming to provide a new research direction for fault-tolerant recognition of network interruption faults.