A method and a classification configuration module for managing a classification configuration for traffic, related to a service, in a software defined network are disclosed. The classification configuration module receives the classification configuration from a service related module. The classification configuration includes a first indication indicating a traffic treatment for the traffic, and a second indication identifying the traffic to be treated according to the first indication for traffic treatment. The classification configuration module determines, based on the classification configuration, a set of traffic filters for use by a software defined network controlling module to determine a list of service functions implementing the traffic treatment for the traffic. The classification configuration module transmits information relating to the set of traffic filters to the software defined network controlling module.

A method and a classification configuration module for managing a classification configuration for traffic, related to a service, in a software defined network are disclosed. The classification configuration module receives the classification configuration from a service related module. The classification configuration includes a first indication indicating a traffic treatment for the traffic, and a second indication identifying the traffic to be treated according to the first indication for traffic treatment. The classification configuration module determines, based on the classification configuration, a set of traffic filters for use by a software defined network controlling module to determine a list of service functions implementing the traffic treatment for the traffic. The classification configuration module transmits information relating to the set of traffic filters to the software defined network controlling module.

A network traffic device comprising: at least one network device adapted to receive network data packets; wherein said at least one network device filters network data packets to locate at least one identifying packet, and samples said network data packets to select at least one sample packet. The at least one network device may transfer said at least one identifying packet and said at least one sample packet to an analyser. A predetermined sample rate may determine the number of sample packets selected by said at least one network device.

A method of traffic flow management with stream classification service (SCS) and associated apparatus are provided, where the wireless communications system may include a first device and a second device. The method may include: carrying and sending a first descriptor element in a first request frame, requesting for a SCS stream from the first device, wherein the first descriptor element is related to the SCS, wherein the first request frame includes a first indication, indicating whether the second device agrees that the SCS stream and any other stream from the first device to the second device share a same traffic identifier (TID).

A method of traffic flow management with stream classification service (SCS) and associated apparatus are provided, where the wireless communications system may include a first device and a second device. The method may include: carrying and sending a first descriptor element in a first request frame, requesting for a SCS stream from the first device, wherein the first descriptor element is related to the SCS, wherein the first request frame includes a first indication, indicating whether the second device agrees that the SCS stream and any other stream from the first device to the second device share a same traffic identifier (TID).

The systems and methods discussed herein provide for classifying CDN connections to the originating application on the first packet. In some implementations, the system identifies application connections established within a predetermined time period prior to the CDN connection and increments a value associated with these connections. The system classifies the CDN connection as corresponding to the application connection with the highest associated value, allowing routing of network traffic to take advantage of QoS benefits and reduce the need for deep packet inspection.

The systems and methods discussed herein provide for classifying CDN connections to the originating application on the first packet. In some implementations, the system identifies application connections established within a predetermined time period prior to the CDN connection and increments a value associated with these connections. The system classifies the CDN connection as corresponding to the application connection with the highest associated value, allowing routing of network traffic to take advantage of QoS benefits and reduce the need for deep packet inspection.

The systems and methods of the present disclosure are directed towards a dynamic system that is configured to identify and map networked traffic, such as that of video, voice, file transfer, and web based applications to predetermined Quality of Service (QoS) classes. The different QoS classes can be associated with different traffic priorities. The networked traffic can be encrypted, which can prevent an intermediate device from processing or otherwise reading the packet headers of the traffic. The systems and methods of the present disclosure can predict QoS classes for encrypted traffic based on traffic patterns and other characteristics of the encrypted traffic.

The systems and methods of the present disclosure are directed towards a dynamic system that is configured to identify and map networked traffic, such as that of video, voice, file transfer, and web based applications to predetermined Quality of Service (QoS) classes. The different QoS classes can be associated with different traffic priorities. The networked traffic can be encrypted, which can prevent an intermediate device from processing or otherwise reading the packet headers of the traffic. The systems and methods of the present disclosure can predict QoS classes for encrypted traffic based on traffic patterns and other characteristics of the encrypted traffic.

A system for optimizing network traffic is described. The system includes a quality of service (QoS) engine configured to acquire information regarding a plurality of data packets comprising a plurality of data packet flows operating over a plurality of links. The QoS engine can be further configured to determine a flow priority to the plurality of data packets flows, and to determine TCP characteristics for the plurality of data packet flows. The system further includes a TCP controller configured to acquire the flow priority to the plurality of data packets from the QoS engine. The TCP controller can be configured to obtain queue information associated with the plurality of data packets, and adjust a receive window size based on the flow priority and the queue information.