SYSTÈME ET PROCÉDÉ POUR UNE UTILISATION D'UTILISATEUR EN TEMPS RÉEL COLLABORATIVE DE DISPOSITIF EN NUAGE ET LA DÉTECTION D'ANOMALIE DE PERFORMANCES

摘要

A computing device receives, from a remote device, one or more abnormality detection models for detecting anomaly of one or a plurality of applications with respect to one or more resource usage, obtains resource usage data associated with each application, determines, using the one or more abnormality detection models, whether each application has anomaly in a resource usage, and takes an action in response. The abnormality detection model is built using a machine learning technique at the remote device based on data collected from multiple devices. The resource usage data includes information about applications used by the computing device, e.g., usage or energy consumption of one or more hardware components or one or more services accessed by an application on the device. An abnormality detection result may include likelihoods of an application falling into an abnormality level in a plurality of abnormality levels.