Network traffic scheduling method and device

Abstract

The application discloses a network traffic scheduling method and device, relates to the field of communication, and aims to realize intelligent automatic scheduling of traffic in order to reduce artificial participation. The method comprises the following steps that: a customer intelligent traffic server (CITS) transmits traffic scheduling parameters to a server at the interval of a preset period, wherein the traffic scheduling parameters include at least one of the following: traffic types, traffic peaks of the traffic types in the preset period, the traffic average value of the traffic types in the preset period, the usage frequencies of the traffic types in the preset period as well as actual bandwidths and link quality of links; the CITS receives a traffic model returned by the server, wherein the traffic model is built on the basis of the traffic scheduling parameters, and the traffic model indicates the traffic priority of at least one traffic type; and the CITS performs networktraffic scheduling based on the traffic priority of the at least one traffic type indicated by the traffic model. The network traffic scheduling method and device are applied to network traffic scheduling.

Description

technical field [0001] The invention relates to the communication field, in particular to a method and device for scheduling network traffic. Background technique [0002] With the development of society, users rely more and more on the network to communicate with the outside world. When a user communicates with the outside world, various applications are needed. Since network bandwidth resources are limited, how to assign priorities to the traffic of various applications is an important issue. [0003] In related technologies, traffic scheduling can be performed by users pre-planning the corresponding relationship between IP addresses and application traffic, and manually setting Quality of Service (QoS) values ​​for each IP address segment. However, when the corresponding relationship between IP addresses and application traffic changes, manual QoS configuration changes (including numerical changes and bandwidth settings) are required, which not only requires a lot of wor...

AI Technical Summary

Problems solved by technology

However, when the corresponding relationship between IP addresses and application traffic changes, manual QoS configuration changes (including numerical changes and bandwidth settings) are required, which not only requires a lot of work, but also has a high probability of error. The maintenance of the application traffic table will also take a lot of energy

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