Invention Grant
- Patent Title: Real-time large volume data correlation
-
Application No.: US16552729Application Date: 2019-08-27
-
Publication No.: US11122464B2Publication Date: 2021-09-14
- Inventor: Peter Aung Htut Wong , Baofeng Jiang
- Applicant: AT&T Intellectual Property I, L.P.
- Applicant Address: US GA Atlanta
- Assignee: AT&T Intellectual Property I, L.P.
- Current Assignee: AT&T Intellectual Property I, L.P.
- Current Assignee Address: US GA Atlanta
- Main IPC: H04W28/06
- IPC: H04W28/06 ; H04W24/02 ; H04L9/32 ; G06F16/955 ; H04L12/861

Abstract:
A system and method uses a data correlator system to associate large volumes of related data. The data correlator system receives data packets with user content from a mobile network. The data correlator system creates a hash value for data associated with the user content, such as user account information or the location of the user device. The data correlator system uses the hash value to combine the user content with the associated data. The data correlator system provides the combined data to an optimization engine for optimizing the performance of the mobile network.
Public/Granted literature
- US20210068006A1 Real-Time Large Volume Data Correlation Public/Granted day:2021-03-04
Information query