Other

Sandvine Corporation

Shyam Sreevalsan

Srinidhi Ramanujam

Akash Manchanhalli Suresh

Kathiravan Rajasekar

Felix-Antoine R Bouchard

Steven J Flatt

A system and method for classifying network traffic including: providing a framework of models configured to classify network traffic; determining, via a packet processing engine, whether the network traffic flow is encrypted; if the network traffic flow is encrypted: extracting, via the packet processing engine, encrypted flow attributes associated with a network traffic flow; deriving further flow attributes based on the extracted encrypted flow attributes; determining at least one model of the framework of models based on the derived flow attributes and extracted encrypted flow attributes; and classifying, via a traffic classification engine, the traffic flow as a category of traffic based on the at least one model; and if the network traffic flow is not encrypted: extracting non-encrypted flow attributes associated with a network traffic flow; classifying the traffic flow as a category of traffic based on the non-encrypted flow attributes.

System and method for classifying network traffic

A method for heuristic control of traffic management on a computer network, the method including: setting predetermined benchmarks for traffic; performing a traffic management control loop to determine at least one value of a quality of experience (QoE) metric, via a QoE measuring module, on the network based on the traffic flow; performing a heuristic control loop comprising: aggregating the at least one value of the QoE metric obtained from the traffic management control loop; determining a new benchmark based on the aggregation of the QoE metric, via a heuristic control module; and sending the new benchmark to the QoE measuring module. a system for heuristic control of traffic management on a computer network, the system including: a heuristic calibration module configured to set predetermined benchmarks for traffic; a QoE module configured to determine at least one value of a quality of experience (QoE) metric, on the network based on the traffic flow; an analysis module configured to aggregate the at least one value of the QoE metric obtained from the traffic management control loop; the heuristic calibration module further configured to determine a new benchmark based on the aggregation of the QoE metrics; and send the new benchmark to the QoE measuring module.

System and method for heuristic control of network traffic management

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Kerala, India

Shyam Sreevalsan