Multi-Qos-based traffic control method

Abstract

The invention discloses a flow rate control method based on multi Qos which relates to the flow rate control method in the communication system. The invention is made to solve the problem in prior art that flow rate control with different Qos cannot be realized, which causes un-smoothly flow rate. The invention can detect current real-time flow rate through the network processor. If the real-time flow exceeds the network bandwidth limit, the micro engine is set to discard message from the low level to the high level in turn according to the Qos priority levels and a lost packet proportion is calculated. If the real-time flow is lower than the network bandwidth limit, the micro engine is set but no packet is discarded. If the real-time flow rate of the Qos remains on the critical state, the flow rate to be transmitted and the flow rate to be discarded are calculated according to the collected flow rate; the micro engine transmits Qos message from the high level to the low level in turn according to the Qos priority levels and the setting of the network processor; messages transmission of Qos with the real-time flow rate on the critical state is controlled according to the proportion of the transmission flow rate and the discarding flow rate. Thus flow rate control is effective.

Description

technical field [0001] The invention relates to a flow control method in a communication system, in particular to a multi-Qos (Quality of Service, service quality) flow control method on a network processor. Background technique [0002] Due to the increase of access users in network communication, the actual network bandwidth cannot meet the needs of more and more users, and the priorities of users may be different. In this case, it is necessary to ensure the network The unimpededness of the network can not make the actual network congested and cause unnecessary packet loss. There are many current flow control algorithms, such as leaky bucket algorithm, token bucket algorithm or fair queue algorithm, but they all have certain limitations and cannot solve the above problems well, either because they cannot reflect the difference in Qos priority, or cause The traffic is not smooth, or a certain delay occurs. Contents of the invention [0003] In order to solve the problem...

AI Technical Summary

Problems solved by technology

[0002] Due to the increase of access users in network communication, the actual network bandwidth cannot meet the needs of more and more users, and the priorities of users may be different. In this case, it is necessary to ensure the network The unimpededness of the network can not make the actual network congested and cause unnecessary packet loss

There are many current flow control algorithms, such as leaky bucket algorithm or token bucket algorithm or fair queue algorithm, but they all have certain limitations and cannot solve the above problems well, either because they cannot reflect the difference in Qos priority, or cause The traffic is not smooth, or there is a certain delay

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