H04L47/11

EXPLICIT CONGESTION NOTIFICATION IN A VIRTUAL ENVIRONMENT

Some embodiments provide a method of reducing network congestion in a virtual network. The method, at a first CFE of the virtual network, receives multiple encapsulated data packets of a data stream. The encapsulated data packets having been encapsulated by a second CFE, operating on a server of the virtual network. The second CFE identifies a load percentage of the server, sets explicit congestion notification (ECN) bits on a percentage of the data packets based on the load percentage of the server, and encapsulates each data packet. The first CFE determines whether to forward a new connection to the second CFE based at least on the percentage of data packets from the first CFE with the ECN bits set.

EXPLICIT CONGESTION NOTIFICATION IN A VIRTUAL ENVIRONMENT

Some embodiments provide a method of reducing network congestion in a virtual network. The method, at a first CFE of the virtual network, receives multiple encapsulated data packets of a data stream. The encapsulated data packets having been encapsulated by a second CFE, operating on a server of the virtual network. The second CFE identifies a load percentage of the server, sets explicit congestion notification (ECN) bits on a percentage of the data packets based on the load percentage of the server, and encapsulates each data packet. The first CFE determines whether to forward a new connection to the second CFE based at least on the percentage of data packets from the first CFE with the ECN bits set.

Unique ID generation for sensors

Systems, methods, and computer-readable media are provided for generating a unique ID for a sensor in a network. Once the sensor is installed on a component of the network, the sensor can send attributes of the sensor to a control server of the network. The attributes of the sensor can include at least one unique identifier of the sensor or the host component of the sensor. The control server can determine a hash value using a one-way hash function and a secret key, send the hash value to the sensor, and designate the hash value as a sensor ID of the sensor. In response to receiving the sensor ID, the sensor can incorporate the sensor ID in subsequent communication messages. Other components of the network can verify the validity of the sensor using a hash of the at least one unique identifier of the sensor and the secret key.

Unique ID generation for sensors

Systems, methods, and computer-readable media are provided for generating a unique ID for a sensor in a network. Once the sensor is installed on a component of the network, the sensor can send attributes of the sensor to a control server of the network. The attributes of the sensor can include at least one unique identifier of the sensor or the host component of the sensor. The control server can determine a hash value using a one-way hash function and a secret key, send the hash value to the sensor, and designate the hash value as a sensor ID of the sensor. In response to receiving the sensor ID, the sensor can incorporate the sensor ID in subsequent communication messages. Other components of the network can verify the validity of the sensor using a hash of the at least one unique identifier of the sensor and the secret key.

Congestion control method and related device

Embodiments of this application disclose a congestion control method and a related device. A Transmission Control Protocol offload engine TOE sends a congestion control notification to a central processing unit CPU, where the congestion control notification instructs the CPU to obtain a target parameter, and the target parameter is used by the CPU to generate a congestion control calculation result. The TOE obtains the congestion control calculation result returned by the CPU, where the congestion control calculation result includes a congestion control window value. The TOE sends a packet based on the congestion control window value. In this application, the TOE and the CPU implement congestion control together. When a new congestion control algorithm emerges, the new congestion control algorithm may be applied without changing a structure of the TOE. Therefore, in this application, an upgrade period of the congestion control algorithm can be shortened, and flexibility can be improved.

Selective tracking of acknowledgments to improve network device buffer utilization and traffic shaping

Systems and methods provide for Selective Tracking of Acknowledgments (STACKing) to improve buffer utilization and traffic shaping for one or more network devices. A network device can identify a first flow that corresponds to a predetermined traffic class and a predetermined congestion state. The device can determine a current window size and congestion threshold of the first flow. In response to a determination to selectively track a portion of acknowledgments of the first flow, the device can track, in main memory, information of a first portion of acknowledgments of the first flow. The device can exclude, from one or more buffers, a second portion of acknowledgments of the first flow. The device can re-generate and transmit segments corresponding to the second portion of acknowledgments at a target transmission rate based on traffic shaping policies for the predetermined traffic class and congestion state.

Selective tracking of acknowledgments to improve network device buffer utilization and traffic shaping

Systems and methods provide for Selective Tracking of Acknowledgments (STACKing) to improve buffer utilization and traffic shaping for one or more network devices. A network device can identify a first flow that corresponds to a predetermined traffic class and a predetermined congestion state. The device can determine a current window size and congestion threshold of the first flow. In response to a determination to selectively track a portion of acknowledgments of the first flow, the device can track, in main memory, information of a first portion of acknowledgments of the first flow. The device can exclude, from one or more buffers, a second portion of acknowledgments of the first flow. The device can re-generate and transmit segments corresponding to the second portion of acknowledgments at a target transmission rate based on traffic shaping policies for the predetermined traffic class and congestion state.

Dynamic congestion control algorithm selection in a proxy device

A system can receive an indication associated with establishing a transmission control protocol (TCP) connection. The system can determine, based on the indication, information that identifies a user device associated with the TCP connection. The system can determine, based on the information that identifies the user device, a predicted congestion level of a base station associated with the TCP connection. The system can select, based on the predicted congestion level, a congestion control algorithm to be implemented for the TCP connection. The system can cause the TCP connection to be established and implement the congestion control algorithm for the TCP connection.

Dynamic congestion control algorithm selection in a proxy device

A system can receive an indication associated with establishing a transmission control protocol (TCP) connection. The system can determine, based on the indication, information that identifies a user device associated with the TCP connection. The system can determine, based on the information that identifies the user device, a predicted congestion level of a base station associated with the TCP connection. The system can select, based on the predicted congestion level, a congestion control algorithm to be implemented for the TCP connection. The system can cause the TCP connection to be established and implement the congestion control algorithm for the TCP connection.

Methods and systems for multi-level network capacity allocation
11533262 · 2022-12-20 · ·

Disclosed herein are systems and methods for allocating network capacity over a communication channel of a network. The systems and methods determine a transmission profile for each of a plurality of service flow types. The systems and methods then iteratively perform the following steps for allocating network capacity: selecting, for each service flow type, the network capacity allocation parameters in each service flow type's transmission profile associated with a current network capacity allocation cycle; determining amounts of data to transmit for each of the plurality of service flow types based at least in part on the selected network capacity allocation parameters; and transmitting, over the communication channel, the determined amounts for each of the plurality of service flow types for the current network capacity allocation cycle.