T-mobile Usa, Inc.

Brandon Shurick

Warren J McNeel

Timothy Shelton

Boua Lor

Jonathan Regalado

Brian Ehrhart

Matthew Davis

System and method of intelligent application diagnostics of a user device (UD). Upon every first time period, the key performance indicators (KPI's) of the processes running on the UD are determined. The top predetermined number (N) of processes that are using the most computing resources are filtered and their KPI's are stored in a local memory. The KPI's of the remaining processes are discarded. This process is repeated at every first time period. At every second time period, the filtered KPI's of every iteration of the first time period are retrieved from the local memory and sent to a remote monitoring server for analysis and storage. The filtered metrics are removed from the local memory.

Intelligent application diagnostics

Techniques described herein relate to generating personalized quality of service (QoS) comparison of wireless services. A user device may obtain first service data from a first wireless service using a user account and obtain second service data corresponding to the first service data from a second wireless service. The user has a benefit of a user account access to the first wireless service, and does not have a benefit of a user account access to the second wireless service. The user device may then generate a comparison between the first wireless service and the second wireless service based on the first service data and the second service data.

Personalized quality of service comparison of wireless services

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Gig Harbor, WA, United States of America

Brandon Shurick