Traffic scheduling method, device and system

Abstract

The invention provides a traffic scheduling method, device and system. User equipment analyzes a traffic scheduling rule into object data in a memory state, so that the user equipment does not need toanalyze the traffic scheduling rule issued each time in a remote multi-activity related traffic scheduling request, and the performance of overall traffic scheduling can be improved; secondly, the user equipment analyzes the traffic scheduling information carried in the traffic scheduling rule through the object data in the memory state and enters the traffic scheduling state according to the analyzed traffic scheduling information, i.e., the traffic scheduling state is entered only by once configuration issuing of the traffic scheduling rule (i.e., issuing operation of the traffic schedulingrule with the minimum frequency), so that the extra network overhead is greatly reduced, the execution time of traffic switching is greatly reduced, the network overhead is greatly reduced, and the execution time of traffic switching is also reduced.

Description

technical field [0001] The present invention relates to the technical field of remote multi-active architecture, and in particular to a traffic scheduling method, device, and system. Background technique [0002] In the prior art, when traffic scheduling is performed, multiple state changes are performed, and each state change needs to push the rule configuration to its downstream subscribers. [0003] Therefore, the existing traffic scheduling technology has the following disadvantages: there are multiple state rule configurations, which require additional time and machine overhead to ensure that each state rule configuration is sent to all downstream subscribers, and there is a large network overhead. , the problem of long execution time of flow switching. In a disaster scenario, in order to ensure the stability of multiple rule delivery, a complex verification mechanism needs to be introduced, and the traffic scheduling of disaster recovery has the problem of poor usabil...

AI Technical Summary

Problems solved by technology

[0003] Therefore, the existing traffic scheduling technology has the following disadvantages: there are multiple state rule configurations, which require additional time and machine overhead to ensure that each state rule configuration is sent to all downstream subscribers, and there is a large network overhead. , the problem of long execution time of flow switching

In a disaster scenario, in order to ensure the stability of multiple rule delivery, it is necessary to introduce a complex verification mechanism, and the traffic scheduling of disaster recovery has the problem of poor usability

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