H04L47/2483

Network User Usage Profiling
20180007154 · 2018-01-04 ·

Methods, systems, devices, and software are disclosed for generating a network usage profile. Certain embodiments of the network usage profile include a devices-by-node profile, indicating the set of customer devices available for use in communicating with a customer-side network node located at a customer side of an access network over a period of time, where some of the customer devices are not in operative communication with the customer-side network node during a portion of that time. Other embodiments associate the network usage profile with customer information to generate device-by-customer profiles. Still other embodiments associate the network usage profile with network traffic information to generate traffic-by-device profiles. Even other embodiments associate the multiple sources and types of information to generate traffic-by-customer profiles and/or traffic-by-device-by-customer profiles. Any of the profiles may then be accessed by one or more parties for use in affecting various network services, including targeting content delivery.

Techniques for improving reflective quality of service

Certain aspects of the present disclosure provide techniques for implementing reflective quality of service (RQoS) in wireless communication systems. A method for implementing RQoS that may be performed by a user equipment (UE) generally includes receiving a plurality of downlink user data packets from a first base station (BS), determining at least one reflective quality of service (RQoS) mapping rule for one or more uplink packet transmissions based on a subset of the plurality of downlink user data packets, filtering the plurality of downlink user data packets based on the at least one RQoS mapping rule, and forwarding the plurality of downlink user data packets to a corresponding application entity of the UE based on the filtering.

Techniques for improving reflective quality of service

Certain aspects of the present disclosure provide techniques for implementing reflective quality of service (RQoS) in wireless communication systems. A method for implementing RQoS that may be performed by a user equipment (UE) generally includes receiving a plurality of downlink user data packets from a first base station (BS), determining at least one reflective quality of service (RQoS) mapping rule for one or more uplink packet transmissions based on a subset of the plurality of downlink user data packets, filtering the plurality of downlink user data packets based on the at least one RQoS mapping rule, and forwarding the plurality of downlink user data packets to a corresponding application entity of the UE based on the filtering.

APPARATUS AND METHOD TO IMPROVE COMPRESSION AND STORAGE OF DATA
20180013688 · 2018-01-11 ·

Methods, computer-readable media and apparatuses to improve storage and compression of data are disclosed. A processor receives a data stream, wherein the data stream comprises multiplexed data from a plurality of different sources, analyzes the data stream to identify a source of the plurality of different sources for each block of data of the data stream, demultiplexes the data stream based on the source of the each block of data of the data stream and applies a compression to the data stream that is demultiplexed based on the source of the each block of data of the data stream.

Application records using session information

Techniques are disclosed for the identification of applications from communication sessions of network traffic between client devices and the generation of application-specific metrics for network traffic associated with the applications. In one example, a router obtains metrics for a plurality of packets. The router determines a session of a plurality of sessions associated with each packet. For each determined session, the router generates metrics for the session from the metrics of the packets associated with the session and determines an application of a plurality of applications associated with the session. For each determined application, the router generates metrics for the application from the metrics of the sessions associated with the application and transmits, to a device, the metrics for the application. In some examples, the router generates the metrics for each application on a per-client, per-next-hop, or per-traffic class basis.

System and method for determining a network performance property in at least one network
11711310 · 2023-07-25 · ·

Systems and methods of determining a network performance property in at least one computer network, including: sampling traffic in active communication with the at least one computer network, analyzing the sampled traffic to group communication packets to flows, and predicting at least one network property of the at least one network based on the grouped communication packets and based on at least one traffic parameter in the at least one network, where the at least one traffic parameter is selected from the group consisting of: union of packet streams, intersection of packet streams, and differences of packet streams, and where the predicted at least one network property is selected from the group consisting of: total number of flows, number of flows with a predefined characteristic, number of packets, and volume of packets.

System and method for determining a network performance property in at least one network
11711310 · 2023-07-25 · ·

Systems and methods of determining a network performance property in at least one computer network, including: sampling traffic in active communication with the at least one computer network, analyzing the sampled traffic to group communication packets to flows, and predicting at least one network property of the at least one network based on the grouped communication packets and based on at least one traffic parameter in the at least one network, where the at least one traffic parameter is selected from the group consisting of: union of packet streams, intersection of packet streams, and differences of packet streams, and where the predicted at least one network property is selected from the group consisting of: total number of flows, number of flows with a predefined characteristic, number of packets, and volume of packets.

Methods of and devices for implementing and executing policy rules on a per application basis in a telecommunications system

Implementation of an application rule for an application to be accessed by a User Equipment, UE, in a user session in a Service Based Architecture, SBA, domain in a core network of a telecommunications system is disclosed. The SBA, among others, comprises a Policy Control Function, PCF (6), an Application Function, AF (5), and a Session Management Function, SMF (9). The method comprising the steps of receiving, by the PCF (6), an application rule comprising an AF Identifier, AF-ID, identifying the application rule, an Application Identifier, App-ID, identifying the application, and at least one service requirement for processing the application in the SBA domain. The PCF (6) instructing the SMF (9) to execute the at least one service requirement to all present and future user sessions pertaining to the respective application. Complementary methods of supporting the execution of the application rule and devices are also presented.

On-box behavior-based traffic classification

In one embodiment, a networking device in a network detects an traffic flow conveyed in the network via the networking device. The networking device generates flow data for the traffic flow. The networking device performs a classification of the traffic flow using the flow data as input to a machine learning-based classifier. The networking device performs a mediation action based on the classification of the traffic flow.

On-box behavior-based traffic classification

In one embodiment, a networking device in a network detects an traffic flow conveyed in the network via the networking device. The networking device generates flow data for the traffic flow. The networking device performs a classification of the traffic flow using the flow data as input to a machine learning-based classifier. The networking device performs a mediation action based on the classification of the traffic flow.