Intelligent QOS (Quality of Service) method and intelligent QOS system based on token bucket

Abstract

The invention provides an intelligent QOS (Quality of Service) method and an intelligent QOS system based on a token bucket, and belongs to the technical field of network application. The intelligent QOS method comprises the following steps: marking a priority of a message, sending a data package marked with the priority to a user guarantee token bucket; determining whether the user guarantee token bucket is within a guarantee bandwidth, if so, sending the data package to a system guarantee queue, if not, sending the data package to a user queue according to user classification; calling, by a scheduler, data packages in the system guarantee queue into a system token bucket based on a priority order, if remaining bandwidth is available, calling the data packages in the user queue into the system token bucket; and sending, by the scheduler, the data packages according to a token in the system token bucket. The intelligent QOS method disclosed by the invention has the following beneficial effects that a punishment mechanism is added in a system on the principle of equity, part of waiting applications do not occupy a lot of bandwidth any more, the bandwidth is distributed to other applications; delay is reduced obviously; and user's network environment is improved obviously.

Description

technical field [0001] The invention relates to the technical field of network applications, in particular to an intelligent QOS method based on a token bucket, and also to a system for realizing the intelligent QOS method. Background technique [0002] With the development of IP technology and network, the unclear and unreliable transmission methods such as treating all packets in the network indiscriminately, adopting first-in-first-out, and best-effort delivery in the past are no longer suitable for various applications emerging in the current network. , video, voice and other complex network services. [0003] Traditional QOS is mostly based on a flow (data flow identified by quintuple) to perform flow control of queuing and congestion processing, without distinguishing different application services, so it cannot be realized in the case of limited total network resources. To ensure the bandwidth of some applications and reduce the quality of service requirements of oth...

AI Technical Summary

Problems solved by technology

[0002] With the development of IP technology and network, the unclear and unreliable transmission methods such as treating all packets in the network indiscriminately, adopting first-in-first-out, and best-effort delivery in the past are no longer suitable for various applications emerging in the current network. , video, voice and other complex network services

[0003] Traditional QOS is mostly based on a flow (data flow identified by quintuple) to perform flow control of queuing and congestion processing, without distinguishing different application services, so it cannot be realized in the case of limited total network resources. In order to guarantee the bandwidth of some applications and reduce the quality of service ...

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