Bandwidth adjustment method, device, storage medium and network device

Abstract

The embodiment of the invention discloses a bandwidth adjustment method, device, storage medium and network device. By using the stream point utilization to achieve automatic bandwidth adjustment, theservice ports beyond the bandwidth point cannot be reused. When the flow point is created on the manual aggregation port, for manual aggregation of ports, when the network equipment has spare free ports, the overall bandwidth of the aggregation port is increased during the peak period of network communication, and when the network is idle, the manual aggregation service port members are automatically reduced. When the network resources are short, the high-priority traffic flow is guaranteed to have guaranteed bandwidth, and the automatic management of the network bandwidth of the equipment isrealized through a series of automatic adjustment operations. The invention can solve the problem that the bandwidth of each flow point service flow is adjusted in real time during the peak period oridle period of the network, the network resources can be saved, the performance and utilization rate of the equipment can be improved, the service quality of the data service can be guaranteed, the emergencies can be responded to and prevented in time, and the robustness and reliability of the network equipment can be improved.

Description

technical field [0001] The present invention relates to the technical field of communication, and in particular to a bandwidth adjustment method, device, storage medium and network equipment. Background technique [0002] With the wide application of network communication technology and the continuous growth of network data demand, the performance requirements of network communication equipment are getting higher and higher, and the throughput requirements of network equipment are increasing. The amount of data transmitted per unit time is an important index to measure network communication equipment. How to effectively use the port bandwidth to increase the load capacity of network equipment and improve its performance has practical significance. [0003] The number of ports and the maximum bandwidth of each network device are fixed. When multiple Ethernet services are configured on one port of the device and multiple flow points are created (service + port determines a flo...

AI Technical Summary

Problems solved by technology

[0003] The number of ports and the maximum bandwidth of each network device are fixed. When multiple Ethernet services are configured on one port of the device and multiple flow points are created (service + port determines a flow point), the service traffic of each flow point shares this The bandwidth of the port, because the bandwidth of the port is limited, when there are many service flow points configured on this port, the bandwidth of the service flow points may not be sufficient in actual applications

In order to prevent the bandwidth of multiple flow points on the port from exceeding the port bandwidth, a speed limit based on flow points is generally introduced, but this speed limit value is fixed and cannot be dynamically modified in real time according to changes in service data flow during use. The limitation is achieved through the speed limit of the flow point. In actual use, the bandwidth of the flow point cannot be guaranteed to be sufficient. If the bandwidth allocation of the flow point is too large, it will cause a waste of bandwidth.

In practical applications, the service data bandwidth of each flow point varies with different time periods. Network devices cannot dynamically adjust the flow point bandwidth according to the actual situation, and can only artificially set a fixed speed limit value based on experience or continuously modify the speed limit according to data usage. value

[0004] In view of the above problems, the existing processing technology is generally to limit the speed on the port or flow point, reserve a time period in advance, and adopt a timing adjustment bandwidth strategy, but when the network data traffic will be high, it is not easy to predict, the actual speed limit to adjust the bandwidth effect There will be lags or advances, and the expected effect will not be achieved

The results obtained based on experience or a large number of statistics often have deviations, and it is completely impossible to respond to emergencies in a timely manner, resulting in unsatisfactory bandwidth adjustment.

[0005] It can be seen from the above process that the main disadvantages of the existing technology are: the speed limit value on the port or flow point is generally a fixed value, and the bandwidth cannot be dynamically adjusted according to each service flow in real time, which affects the use of the network by customers and cannot meet the actual application bandwidth. demand, or the allocated fixed value is too large to make full use of the bandwidth; in the time period when the bandwidth is not enough, increase the bandwidth by increasing the physical ports of the aggregation group. For manual aggregation, when the service data flow is small, the physical ports cannot be released automatically, resulting in Waste of equipment resources; the timing adjustment bandwidth strategy is adopted, the actual time period prediction is not accurate, even if the time period is accurate, each service flow does not need more bandwidth during this time period; in addition, it cannot respond to emergencies in time, resulting in unable to communicate normally

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