An available network address is acquired from a network address resource pool associated with the application system according to determination that a workload at a set of network ports of the application system meets a predetermined extension condition, the network address resource pool comprising network addresses configured to be assigned to the application system. A network port available at the application system is selected. A communication channel for accessing the application system is established based on the network address and the network port. According to determination that an access request for accessing the application system is received from an access device, the access request is responded to by using the communication channel. The communication channel provided by the application system to the access device can be dynamically adjusted in real time according to a workload related to data access of the application system.

An available network address is acquired from a network address resource pool associated with the application system according to determination that a workload at a set of network ports of the application system meets a predetermined extension condition, the network address resource pool comprising network addresses configured to be assigned to the application system. A network port available at the application system is selected. A communication channel for accessing the application system is established based on the network address and the network port. According to determination that an access request for accessing the application system is received from an access device, the access request is responded to by using the communication channel. The communication channel provided by the application system to the access device can be dynamically adjusted in real time according to a workload related to data access of the application system.

A data processing system includes a phantom queue for each of a plurality of output ports each associated with an output link for outputting data. The phantom queues receive/monitor traffic on the respective ports and/or the associated links such that the congestion or traffic volume on the output ports/links is able to be determined by a congestion mapper coupled with the phantom queues. Based on the determined congestion level on each of the ports/links, the congestion mapper selects one or more non or less congested ports/links as destination of one or more packets. A link selection logic element then processes the packets according to the selected path or multi-path thereby reducing congestion on the system.

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.

This application relates to the field of communications technologies, and discloses a network parameter (for example, an ECN threshold) configuration method and an apparatus, to dynamically configure a network parameter based on a change of a network transmission characteristic, so that the network parameter is dynamically adapted to a change of network traffic, thereby ensuring network transmission performance. The method includes: obtaining network statistical data corresponding to a first period, where the network statistical data includes a network transmission characteristic of a network device in the first period and a first value corresponding to a specified network parameter; determining, based on the network statistical data, a second value corresponding to the specified network parameter; and configuring the specified network parameter of the network device in a second period to the second value, where the second period is a period after the first period.

This application relates to the field of communications technologies, and discloses a network parameter (for example, an ECN threshold) configuration method and an apparatus, to dynamically configure a network parameter based on a change of a network transmission characteristic, so that the network parameter is dynamically adapted to a change of network traffic, thereby ensuring network transmission performance. The method includes: obtaining network statistical data corresponding to a first period, where the network statistical data includes a network transmission characteristic of a network device in the first period and a first value corresponding to a specified network parameter; determining, based on the network statistical data, a second value corresponding to the specified network parameter; and configuring the specified network parameter of the network device in a second period to the second value, where the second period is a period after the first period.

An information processing apparatus equipped with a network interface card, the network interface card comprising: a network switch; and a first processor configured to perform processing, the processing including: recording, for each application, communication information to each application executed in the computer; comparing, in a case where a use rate of the processor is overloaded, a load on each network function that processes communication to each application based on a flow rule of the network switch, based on a record of the communication information; selecting a network function having the smallest load on each network function; and switching an execution position of the selected network function to a network function of the computer to change the flow rule of the network switch.

An information processing apparatus equipped with a network interface card, the network interface card comprising: a network switch; and a first processor configured to perform processing, the processing including: recording, for each application, communication information to each application executed in the computer; comparing, in a case where a use rate of the processor is overloaded, a load on each network function that processes communication to each application based on a flow rule of the network switch, based on a record of the communication information; selecting a network function having the smallest load on each network function; and switching an execution position of the selected network function to a network function of the computer to change the flow rule of the network switch.

The present invention discloses a network burst load evacuation method for edge servers, which takes a time and average penalty function of all tasks performed by the edge system as a minimum optimization goal. This method not only takes into account the fairness of all users in the system, but also ensures that the unloading tasks of all users in the system can be completed in a relatively shortest time, and a new quantitative measure is proposed for improving user QoS response. In the implementation process of the algorithm in the present invention, a particle swarm algorithm is used to solve an optimal target of the system, This algorithm has a fast execution speed and high efficiency, and is especially suitable for a scene of an edge computing network system, so that when a sudden load occurs, an edge computing network system can respond in a very short time and complete the evacuation of the load, which greatly improves the fault tolerance and stability of the edge network environment.

The present invention discloses a network burst load evacuation method for edge servers, which takes a time and average penalty function of all tasks performed by the edge system as a minimum optimization goal. This method not only takes into account the fairness of all users in the system, but also ensures that the unloading tasks of all users in the system can be completed in a relatively shortest time, and a new quantitative measure is proposed for improving user QoS response. In the implementation process of the algorithm in the present invention, a particle swarm algorithm is used to solve an optimal target of the system, This algorithm has a fast execution speed and high efficiency, and is especially suitable for a scene of an edge computing network system, so that when a sudden load occurs, an edge computing network system can respond in a very short time and complete the evacuation of the load, which greatly improves the fault tolerance and stability of the edge network environment.