Data flow quantity statistical method

Abstract

A method to calculating the data flow rate includes the following steps: confirming that statistical time section of data flow rate has been on by the switching time of charge rate first and then thedata flow rate occurred in this statistical time section of data flow rate will be counted sectionally, the data flow rate occurred from starting time to switching time of charge rate will be recorded as data flow rate before switching time of charge rate and the data flow rate occurred in the period of switching time of charge rate to the end of statistical time section of data flow rate will berecorded as data flow rate after switching time of charge rate as well as finally two sets of data flow rates will be reported to the charges counting system separately.

Description

technical field [0001] The invention relates to a statistical method for data flow in the technical field of communication. Background technique [0002] With the popularization and application of broadband access network technology, the billing method of network services has also developed from the original single billing by time to the current billing by flow. At present, most of the traffic statistics are completed by the network access server. Since the access server needs to count the data traffic of a large number of online connections, the statistics of the data traffic must be carried out in batches at regular intervals. Therefore, the data traffic needs to be refreshed periodically. Usually, the refresh time interval is within a few seconds; similarly, it is impossible for the access server to report all connected traffic to the billing system at the same time, and can only report in batches at regular intervals. Batch report the data traffic of all connections wit...

AI Technical Summary

Problems solved by technology

[0003] The above scheme is only applicable to the billing method with a single rate, but now many operators who provide network services often adopt a billing method divided into time periods in order to meet the needs of the market, and different time periods are based on different billing rates billing

The existing technology cannot guarantee that the time when the data flow reported by the access server coincides completely with the tariff switching time, so it is impossible to accurately count the data traffic before and after the tariff switching time

For example, the operator stipulates that 10:00 is the tariff switching time, and the tariff rate after 10:00 is half of that before 10:00. The last time it was reported was 9:55. Since the data reported by the access server only includes the statistics of the cut-off time of data traffic and the value of data traffic, the access server cannot know how the 100M traffic that occurred within these 10 minutes The rate is allocated before and after the switching time. If 60M actually occurred after 10:00, and all calculations are made before 10:00, the 60M will be twice as expensive, which will damage the interests of users; Billing after 10:00, the previous 40M will be half cheaper, which will damage the interests of operators

Therefore, if the data traffic before and after the rate switching time cannot be accurately calculated, it may cause extensive economic disputes and cause adverse effects

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