Abstract: The disclosed systems, structures, and methods are directed to risk assessment of an optical network. A simulation framework includes a risk map engine including a performance prediction engine that generates a simulation of the optical network based at least in part on an input network topology and/or service map. The prediction performance engine runs the simulation to predict, based at least in part on received network telemetry data, direct and indirect impacts on the optical network of a risk factor represented in a what-if scenario. The risk map engine includes a risk assessment engine that determines a risk associated with the risk factor based at least in part on the predicted direct and indirect impacts and on a likelihood of occurrence of the risk factor. The risk assessment engine generates a risk map showing aggregate risks to the optical network from a plurality of risk factors.

Abstract: The disclosed systems, structures, and methods are directed to risk assessment of an optical network. A simulation framework includes a risk map engine including a performance prediction engine that generates a simulation of the optical network based at least in part on an input network topology and/or service map. The prediction performance engine runs the simulation to predict, based at least in part on received network telemetry data, direct and indirect impacts on the optical network of a risk factor represented in a what-if scenario. The risk map engine includes a risk assessment engine that determines a risk associated with the risk factor based at least in part on the predicted direct and indirect impacts and on a likelihood of occurrence of the risk factor. The risk assessment engine generates a risk map showing aggregate risks to the optical network from a plurality of risk factors.

Abstract: The disclosed systems, structures, and methods are directed to risk assessment of an optical network. A simulation framework includes a risk map engine including a performance prediction engine that generates a simulation of the optical network based at least in part on an input network topology and/or service map. The prediction performance engine runs the simulation to predict, based at least in part on received network telemetry data, direct and indirect impacts on the optical network of a risk factor represented in a what-if scenario. The risk map engine includes a risk assessment engine that determines a risk associated with the risk factor based at least in part on the predicted direct and indirect impacts and on a likelihood of occurrence of the risk factor. The risk assessment engine generates a risk map showing aggregate risks to the optical network from a plurality of risk factors.

Abstract: To control the transmission of real time transport packets over a network, incoming packets received over the network from a transmitter are monitored. A statistical analysis is performed on the received packets to determine network congestion. A message is sent to the transmitter to control a transmission parameter in accordance with the determined network congestion.

Abstract: A computer-implemented method is provided for controlling an encoder that is particularly suited for high definition video conferencing. The method includes: receiving an average allowance of bits for encoding a data frame; receiving a burst allowance for data encoded by the encoder, where the burst allowance specifies a variance above the average allowance for a given time period; determining bits needed to encode an incoming data frame; comparing the bits needed to encode the incoming data frame to the average allowance of bits; computing a bit allowance for the incoming data frame using the bits needed to encode the incoming data frame and the burst allowance when the bits needed to encode the incoming data frame exceeds the average allowance of bits; computing a quantization parameter for the incoming data frame using the bit allowance for the incoming data frame; and providing the quantization parameter to the video encoder.

Abstract: To control the transmission of real time transport packets over a network, incoming packets received over the network from a transmitter are monitored. A statistical analysis is performed on the received packets to determine network congestion. A message is sent to the transmitter to control a transmission parameter in accordance with the determined network congestion.