Caching data receiving and reading method and device and router cache device

Abstract

The invention discloses a caching data receiving method. The caching data receiving method includes that caching data are received, and data storage is performed on at least two storing units which are already in an activated state according to priority from high to low; if the storage capacity of one storing unit with the lowest priority among the storing units which are already in the activated state reaches a preset activating waterline, storing units which are in a to-be-activated state are changed to the already activated state, and one storing unit with the highest priority among the storing units which are in a de-activated state is changed to the to-be-activated state. The invention further discloses a caching data reading method, a caching data receiving or reading device and a router cache device. By means of the caching data receiving and reading method and device and the router cache device, hardware capacity waste of router cache capacity can be reduced, energy saving and consumption reducing can be achieved, meanwhile, the data overflow phenomenon due to insufficient storage capacity can be effectively avoided, and business service qualities are guaranteed.

Description

technical field [0001] The invention relates to the technical field of routers, in particular to a method and device for receiving and reading buffered data, and a router buffering device. Background technique [0002] Communication networks have penetrated into every corner of people's lives, and routers, as the core equipment of communication networks, are widely used in the network. With the increasing demand for bandwidth, the bandwidth capacity of the device increases rapidly, which also brings about the problem of high power consumption of the device. [0003] In order to ensure the quality of service when traffic bursts, the router device is designed with a large-capacity traffic buffer unit to ensure the traffic buffer capacity of hundreds of milliseconds at full speed. However, in practical applications, there are very few traffic burst scenarios, and the average traffic is less than 50%, which easily leads to waste of hardware capabilities. [0004] refer to fig...

AI Technical Summary

Problems solved by technology

However, in practical applications, there are very few traffic burst scenarios, and the average traffic is less than 50%, which can easily cause waste of hardware capabilities.

[0008] First, the function of monitoring the traffic rate needs to occupy a large amount of hardware resources, and it is impossible to effectively predict the sudden

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