Sandvine Corporation

Akash Manchanhalli Suresh

Tushar Mulkar

Nilanjan Sarkar

Kamakshi Sridhar

Kathiravan Rajasekar

Shyam Sreevalsan

Anchal Srivastava

Steven J Flatt

Felix-Antoine R Bouchard

Ambuj Mittal

Piyush Agrawal

Neelesh Dwivedi

A method for traffic flow acceleration including: retrieving a Transmission Control Protocol (TCP) User Datagram Protocol (UDP) or Quick UDP Internet Connection (QUIC) traffic flow from the computer network; mapping the traffic flow to a subscriber; determining congestion control parameters associated with the traffic flow; determining subscriber buffer management parameters based on the subscriber and the congestion control parameters; and managing a buffer depth at a subscriber level based on the subscriber buffer management parameters. A system for traffic flow acceleration including: an analysis module configured to retrieve a TCP, UDP or QUIC traffic flow and map the traffic flow to a subscriber; a congestion control module configured to determine congestion control parameters associated with the traffic flow; and a buffer management module configured to determine subscriber buffer management parameters based on the subscriber and the congestion control parameters; and manage a buffer depth at a subscriber level.

System and method for traffic flow acceleration

A method for calibration of Transmission Control Protocol (TCP) traffic flow acceleration in a computer network, the method including: initializing a maximum congestion window parameter; determining at least one slow start threshold; monitoring the traffic flow within the network; and updating parameters based on the monitored traffic flows. A system for calibration of TOP traffic flow acceleration in a computer network, the system including: an initialization module configured to initialize a maximum congestion window parameter; an analysis module configured to determine at least one slow start threshold; and a monitoring module configured to monitor the traffic flow within the network; and update parameters based on the monitored traffic flows.

System and method for calibration of traffic flow acceleration

A system and method for managing network traffic in a distributed environment. the system including: a plurality of logic modules configured to determine policy data related to bandwidth management and at least one split criteria for a basis for shaping network traffic; a control processor associated with each one of the plurality of logic modules, each control processor configured to determine data associated with each of a plurality of traffic flows at the associated logic module and to coordinate traffic actions over the plurality of logic modules; a packet processor associated with each control processor and configured to determine a traffic action based on each traffic flow and received policy data; and at least two shaper objects configured to receive a split of the traffic flows and enforce the determined traffic action on their respective traffic flow.

System and method for managing network traffic using fair-share principles

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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Bengaluru, India

Akash Manchanhalli Suresh