Abstract: A network device implements automatic configuration of Quality of Service (QoS) parameters in response to operator specification of a relatively few and easily understandable “high level” parameters such as, for example, latency requirements or an acceptable rate of packet drops. In one implementation, a network device may receive user preference information that relates to a Quality of Service (QoS) for network traffic passing through the network device and may measure traffic patterns through the network device. The device further generates a configuration template based on the measured traffic patterns and on the user preference information transmit the data in an order of transmission that is prioritized according to a bandwidth allocation policy defined by the configuration template.

Abstract: A method includes receiving network information for calculating weighted round-robin (WRR) weights, calculating WRR weights associated with queues based on the network information, and determining whether a highest common factor (HCF) exists in relation to the calculated WRR weights. The method further includes reducing the calculated WRR weights in accordance with the HCF, when it is determined that the HCF exists, and performing a WRR scheduling of packets, stored in the queues, based on the reduced WRR weights.

Abstract: A network device operating in a cut-through mode receives a current packet of an unknown length and determines if there is a known length value of a previous packet in a processing cycle associated with the current packet. When there is no known length value of the previous packet, the network device applies, to the current packet, an estimated length value for the current packet. When there is a known length value of the previous packet, the network device applies, to the current packet, the known length value of the previous packet. The network device processes the current packet based on one of the estimated length value or the known length value of the previous packet.

Abstract: A method includes receiving network information for calculating weighted round-robin (WRR) weights, calculating WRR weights associated with queues based on the network information, and determining whether a highest common factor (HCF) exists in relation to the calculated WRR weights. The method further includes reducing the calculated WRR weights in accordance with the HCF, when it is determined that the HCF exists, and performing a WRR scheduling of packets, stored in the queues, based on the reduced WRR weights.

Abstract: A network device implements automatic configuration of Quality of Service (QoS) parameters in response to operator specification of a relatively few and easily understandable “high level” parameters such as, for example, latency requirements or an acceptable rate of packet drops. In one implementation, a network device may receive user preference information that relates to a Quality of Service (QoS) for network traffic passing through the network device and may measure traffic patterns through the network device. The device further generates a configuration template based on the measured traffic patterns and on the user preference information transmit the data in an order of transmission that is prioritized according to a bandwidth allocation policy defined by the configuration template.

Abstract: A network device implements automatic configuration of Quality of Service (QoS) parameters in response to operator specification of a relatively few and easily understandable “high level” parameters such as, for example, latency requirements or an acceptable rate of packet drops. In one implementation, a network device may receive user preference information that relates to a Quality of Service (QoS) for network traffic passing through the network device and may measure traffic patterns through the network device. The device further generates a configuration template based on the measured traffic patterns and on the user preference information transmit the data in an order of transmission that is prioritized according to a bandwidth allocation policy defined by the configuration template.

Abstract: A method includes receiving network information for calculating weighted round-robin (WRR) weights, calculating WRR weights associated with queues based on the network information, and determining whether a highest common factor (HCF) exists in relation to the calculated WRR weights. The method further includes reducing the calculated WRR weights in accordance with the HCF, when it is determined that the HCF exists, and performing a WRR scheduling of packets, stored in the queues, based on the reduced WRR weights.

Abstract: A method includes receiving network information for calculating weighted round-robin (WRR) weights, calculating WRR weights associated with queues based on the network information, and determining whether a highest common factor (HCF) exists in relation to the calculated WRR weights. The method further includes reducing the calculated WRR weights in accordance with the HCF, when it is determined that the HCF exists, and performing a WRR scheduling of packets, stored in the queues, based on the reduced WRR weights.

Abstract: A network device operating in a cut-through mode receives a current packet of an unknown length and determines if there is a known length value of a previous packet in a processing cycle associated with the current packet. When there is no known length value of the previous packet, the network device applies, to the current packet, an estimated length value for the current packet. When there is a known length value of the previous packet, the network device applies, to the current packet, the known length value of the previous packet. The network device processes the current packet based on one of the estimated length value or the known length value of the previous packet.