Development and Simulation of a Novel Approach for Dynamic Workload Allocation Between Fog and Cloud Servers

[Retracted] An Intelligent Diagnosis System for English Writing Based on Data Feature Extraction and Fusion

“…As can be seen from Figure 2, the intelligent diagnosis process of English writing errors focuses on the server side of the system, forming a three-tier architecture of intelligent diagnosis browser, intelligent diagnosis web server, and intelligent diagnosis data baser, among which intelligent diagnosis web server is mainly responsible for dealing with the intelligent error diagnosis in English writing of logic and is also equipped with a dedicated server port to manage the diagnostic system database as well as the logic of data processing; it is mainly used for reducing system client computer work load, can reduce the overall economic costs of users at the same time, and can reduce the work load [25]. One point that needs special attention is that because the intelligent diagnostic program and data of English writing errors are mainly loaded on the relevant servers, if the system server conflicts and causes the operation to terminate, the consequences cannot be predicted, and the vocabulary existing in the English writing errors that need to be diagnosed shall be diagnosed in a comprehensive way.…”