Method and device for business data traffic statistics based on rate period

Abstract

The invention provides a business data flow statistic method and a device based on rate time period. The method includes that rate time period information is acquired, the rate time period information comprises rate time period intervals of loads, feature points and states of the feature points, the feature points divide the loads into a plurality of rate time period intervals, the states of the feature points include an initial state, business data are received, the time of the business data passing through the loads is acquired, and when the time of the business data passing through the loads is matched with a certain feature point which is in the initial state, the data flow of the rate time period intervals which the certain feature point corresponds to is statistically calculated. By means of the business data flow statistic method and the device based on rate time period, the problem of overlarge statistically processing amount in the same rate time period of the device can be solved, and the normal operation of the device can be guaranteed.

Description

technical field [0001] The present invention relates to the field of communication technology, and in particular to a method for counting service data traffic based on a tariff period, and a device for counting service data traffic based on a tariff period. Background technique [0002] With the convergence of wireless access technologies, accurate billing for packet data services has become a subject of widespread concern for users and major mobile operators. [0003] The 3GPP (The3rd Generation Partnership Project, in the 3rd Generation Partnership Project) TS32.251 protocol describes the charging of packet data services as follows: When charging based on bearer, if the rate interval changes, the current charge of the bearer The traffic statistical value of the rate period interval needs to be reported and restarted; in the flow-based bearer charging, if the rate period interval changes, the traffic statistics value of the current rate period interval of all service flows ...

AI Technical Summary

Problems solved by technology

However, since the rate period is configured separately according to the charging characteristics, the rate period of the bearer adopting the same charging characteristic is the same, so the change point of the rate period of the bearer adopting the same charging characteristic is also the same, so , when the rate change point arrives, there will be a large number (millions) of bearers reporting traffic information at the same time, resulting in a high instantaneous CPU usage of the device, and may also cause a large amount of messages between applications, insufficient cache, etc. problem, which can lead to equipment failure in severe cases

[0005] Therefore, the technical problem to be solved by those skilled in the art is to provide a business data flow statistics mechanism to solve the problem of too much statistical processing of the equipment in the same rate period and ensure the normal operation of the equipment

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