Traffic shaper token updating system and method of time-sensitive network

Abstract

The invention provides a traffic shaper token updating system and method for a time-sensitive network, and the method comprises the steps: carrying out the token updating of an associated traffic shaper when a message is scheduled for a non-empty queue, configuring the number of tokens of a corresponding token bucket to be a non-positive value when the message is an empty queue after the scheduling is completed, and then adding the token bucket into an empty queue pool, generating a cyclic update signal when the data queue is a non-empty queue and the number of tokens is a negative value; for each empty queue, performing token updating on the associated traffic shaper when a new message arrives; processing according to the cyclic update signal to obtain an update level, and putting the traffic shaper into an update pool corresponding to the update level so as to perform token update on the token bucket according to the cyclic update frequency; and in the token updating process of each token bucket, when it is detected that the token bucket of the traffic shaper is in an effective state, moving the traffic shaper out of the updating pool to participate in scheduling. The method has the advantages that time delay is reduced, and a large number of traffic shapers can be supported.

Description

technical field [0001] The invention relates to the technical field of data communication networks, in particular to a system and method for updating a traffic shaper token of a time-sensitive network. Background technique [0002] Time Sensitive Networking (TSN) refers to a set of protocol standards being developed by the TSN task group in the IEEE802.1 working group. TSN originally originated from the application requirements in the field of audio and video. The IEEE TSN working group continued the work of AVB. The focus of this working group is to study the deterministic data transmission mechanism, further reduce the delay in the Ethernet network, and transmit data more stably and securely. . Networks that carry audio and video information need to adhere to strict latency and jitter requirements. The TSN network can well support the bandwidth and real-time requirements of images and audio. [0003] The important 802.1Qav standard in TSN requires a credit based shaper ...

AI Technical Summary

Problems solved by technology

Since the number of times the system reads and writes per second is limited, there is a serious system bottleneck

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