Abstract:

In order to detect, diagnose and exclude potential or occurred faults on mobile devices, a useroriented detection mechanism is proposed. In the mechanism. A new UserBehavior Analysis model based on fuzzy math theory is firstly proposed to weigh the dependence degree of each service. Secondly, a UserBehavior Clustering Analysis model is introduced to divide mobile users into several clusters. Thirdly, integrations are made for the dependence degree of each service, the network status and failure rate of service into building a priority detectionservice set selection model. So the optimized sets for PreDetection of the service faults on mobile devices could be selected. Meanwhile, a UserBehavior Clustering Analysis Based Service Fault Detection Optimization Mechanism is implemented on a prototype system, and the optimal number of userclusters is validated judging by the average normal use ratio under three PreDetection scenarios.

Key words: network management, mobile device management, dependence degree, userbehavior