Disclosed herein are an apparatus, non-transitory computer readable medium, and method for minimizing network traffic and maintaining synchronous state information between systems.

Disclosed herein are an apparatus, non-transitory computer readable medium, and method for minimizing network traffic and maintaining synchronous state information between systems.

Packets to be transmitted from a network device are buffered in queues in a first packet memory. In response to detecting congestion in a queue in the first packet memory, groups of multiple packets are transferred from the first packet memory to a second packet memory, the second packet memory configured to buffer a portion of traffic bandwidth supported by the network device. Prior to transmission of the packets among the one or more groups of multiple packets from the network device, packets among the one or more groups of multiple packets are transferred from the second packet memory back to the first packet memory. The packets transferred from the second packet memory back to the first packet memory are retrieved from the first packet memory and are forwarded to one or more network ports for transmission of the packets from the network device.

Packets to be transmitted from a network device are buffered in queues in a first packet memory. In response to detecting congestion in a queue in the first packet memory, groups of multiple packets are transferred from the first packet memory to a second packet memory, the second packet memory configured to buffer a portion of traffic bandwidth supported by the network device. Prior to transmission of the packets among the one or more groups of multiple packets from the network device, packets among the one or more groups of multiple packets are transferred from the second packet memory back to the first packet memory. The packets transferred from the second packet memory back to the first packet memory are retrieved from the first packet memory and are forwarded to one or more network ports for transmission of the packets from the network device.

This application provides a congestion control method and a network device. The method includes: receiving a first message sent by a second network device, where the first message carries an active flow quantity, and the active flow quantity is a quantity determined by the second network device based on a data flow to which data packets received from a first network device belong; determining, based on the active flow quantity and rated receiving bandwidth of the second network device, packet sending control information used to send the data flow to the second network device; and sending the data flow to the second network device based on the packet sending control information. This application can better control congestion, thereby reducing network packet loss.

Systems and methods are provided for monitoring traffic flow using a trained machine learning (ML) model. For example, in order to maintain a stable level of connectivity and network experience for the devices in a network, the ML model can monitor the data flow of each device and label each data flow based on its behavior and properties. The system can take various actions based on the labeled data flow, including generate an alert, automatically change network settings, or otherwise adjust the data flow from the device.

Systems and methods are provided for monitoring traffic flow using a trained machine learning (ML) model. For example, in order to maintain a stable level of connectivity and network experience for the devices in a network, the ML model can monitor the data flow of each device and label each data flow based on its behavior and properties. The system can take various actions based on the labeled data flow, including generate an alert, automatically change network settings, or otherwise adjust the data flow from the device.

Provided are methods, apparatus, and system for policy based wide area network. A network of network appliances is configured with a policy configuration. Each network appliance is configured to validate each wide area network packet against the policy configuration. The validation can include verifying that the packets meet the SD-WAN network segment requirements and security rules including verifying that the source and destination address of the packet meet the firewall zone requirements. Each wide area network packet contains a policy header that is checked by the sending and receiving network appliance against the policy configuration.

Systems and methods are provided for monitoring traffic flow using a trained machine learning (ML) model. For example, in order to maintain a stable level of connectivity and network experience for the devices in a network, the ML model can monitor the data flow of each device and label each data flow based on its behavior and properties. The system can take various actions based on the labeled data flow, including generate an alert, automatically change network settings, or otherwise adjust the data flow from the device.

Systems and methods are provided for monitoring traffic flow using a trained machine learning (ML) model. For example, in order to maintain a stable level of connectivity and network experience for the devices in a network, the ML model can monitor the data flow of each device and label each data flow based on its behavior and properties. The system can take various actions based on the labeled data flow, including generate an alert, automatically change network settings, or otherwise adjust the data flow from the device.