Abstract:
A method, a device, and a system for monitoring quality of an Internet access service of a mobile terminal are provided. The method includes collecting, by a mobile terminal, an IP data packet of an Internet access service, identifying, by the mobile terminal, an Internet access service type corresponding to the IP data packet, performing, by the mobile terminal, deep packet resolution on the IP data packet to obtain a resolution result, collecting statistics, by the mobile terminal, on a key quality indicator of the Internet access service corresponding to the Internet access service type according to the resolution result of the IP data packet, and uploading, by the mobile terminal, the key quality indicator obtained by means of statistics to a network server, so that the network server monitors quality of the Internet access service of the mobile terminal according to the key quality indicator.
Abstract:
Embodiments of the present invention provide a radio resource optimizing method, apparatus, and system. The method includes: performing DPI on received network data, so as to identify a protocol type of the network data; if the network data is a first kind of data stream, identifying a heartbeat in the first kind of data stream, and obtaining heartbeat information of the heartbeat; when the heartbeat interval period of the heartbeat information is greater than a radio resource pre-allocated time slice, determining a radio resource bandwidth allocation parameter according to the heartbeat bandwidth requirement of the heartbeat information; and sending a radio resource allocation parameter including the radio resource bandwidth allocation parameter. In this way, the radio resource allocation parameter is dynamically set when an application runs in the background, thereby improving the utilization rate of an air interface bandwidth and time of a radio base station.
Abstract:
A method, a device, and a system for monitoring quality of an Internet access service of a mobile terminal are provided. The method includes collecting, by a mobile terminal, an IP data packet of an Internet access service, identifying, by the mobile terminal, an Internet access service type corresponding to the IP data packet, performing, by the mobile terminal, deep packet resolution on the IP data packet to obtain a resolution result, collecting statistics, by the mobile terminal, on a key quality indicator of the Internet access service corresponding to the Internet access service type according to the resolution result of the IP data packet, and uploading, by the mobile terminal, the key quality indicator obtained by means of statistics to a network server, so that the network server monitors quality of the Internet access service of the mobile terminal according to the key quality indicator.
Abstract:
A user behavior analysis (UBA) method, and a related device and system are provided. The method is applied to a UBA system including at least one UBA cloud server. The method includes: receiving, by a UBA cloud server, a network content identifier reported by a first UBA subnode, where the network content identifier cannot be identified by the first UBA subnode; acquiring network content corresponding to the network content identifier; extracting a keyword from the network content; updating a behavior knowledge base by using the extracted keyword; and delivering, by the UBA cloud server, the updated behavior knowledge base or updated content of the behavior knowledge base to a UBA subnode set, where the UBA subnode set at least includes the first UBA subnode and a second UBA subnode. The UBA cloud server and the UBA subnodes are associated with a telecommunication network.
Abstract:
A data mining method, apparatus, and system are provided. The method includes: obtaining to-be-processed data, where the to-be-processed data includes records, and each record includes application information and remote end triplet information; performing clustering processing on records with same remote end triplet information and same application information, and according to the records with the same remote end triplet information and the same application information, calculating a service load amount corresponding to the remote end triplet information and the application information to obtain a clustering result including the remote end triplet information, the application information, and the service load amount; according to the service load amount or a proportion of the service load amount, selecting remote end triplet information and application information that have high reliability from the clustering result; and sending the remote end triplet information and application information that have high reliability to a deep packet inspection (DPI) subsystem.
Abstract:
A data mining method, apparatus, and system are provided. The method includes: obtaining to-be-processed data, where the to-be-processed data includes records, and each record includes application information and remote end triplet information; performing clustering processing on records with same remote end triplet information and same application information, and according to the records with the same remote end triplet information and the same application information, calculating a service load amount corresponding to the remote end triplet information and the application information to obtain a clustering result including the remote end triplet information, the application information, and the service load amount; according to the service load amount or a proportion of the service load amount, selecting remote end triplet information and application information that have high reliability from the clustering result; and sending the remote end triplet information and application information that have high reliability to a deep packet inspection (DPI) subsystem.