CN108270697A - A kind of method of adjustment, device and the server of flow quota - Google Patents

Abstract

The invention discloses a kind of method of adjustment, device and the servers of flow quota, for field of communication technology, can solve the problem of to need the method for spending longer time that could must ensure hit accuracy rate that can not satisfy the use demand.This method includes：Network rate of the online charging system in the period into the CCR message that same user sends between the time interval of two adjacent CCR message and two adjacent C CR message in preset time period is counted, and calculates at least one time threshold section and at least one rate-valve value section；Calculate the value of the corresponding first object GSU in each time threshold section；Calculate the value of the corresponding second target GSU in each rate-valve value section；The value adjustment online charging system of value and the second target GSU based on first object GSU is the flow quota of user's distribution.

Description

Method, device and server for adjusting traffic quota

technical field

The present invention relates to the technical field of communications, and in particular to a flow quota adjustment method, device and server.

Background technique

With the rapid development of 4G online traffic services, compared with the online traffic services of 2/3G networks, more and more small traffic services have developed into online video, online live broadcast and other services, making the speed and frequency of users' traffic usage change. Variety. The online billing of traffic service is based on the real-time billing messages exchanged between the network side and the online billing system. The online billing system calculates and allocates traffic quotas for users. However, the rate and frequency of traffic usage by users changes, The original traffic quota calculation method is no longer applicable, and the traffic quota of the 4G online traffic service needs to be adjusted. At present, the way of adjusting the quota of online charging may be: a method of adjusting quota based on the service rate of online traffic. This method mainly adjusts the size of the quota value by calculating the user's usage rate of the requested traffic, and according to the corresponding relationship between the fixed interval preset by the GSU (Granted-Service-Unit, used quota authorization amount) and the usage rate. However, this method only considers the rate dimension of traffic usage, and considering a single parameter, it is easy to make the adjusted quota value unsuitable for users.

Contents of the invention

Embodiments of the present invention provide a traffic quota adjustment method, device, and server, which can solve the problem that it takes a long time to obtain a method to ensure the accuracy of the hit rate, and cannot meet the use requirements.

In a first aspect, the present invention provides a flow quota adjustment method, including: counting the CCR (Credit-Control-Request, credit control request) messages sent by the online charging system to the user within a preset period of time and belonging to the same user The time interval between two adjacent CCR messages and the user's network rate in the time period between two adjacent CCR messages;

calculating at least one time threshold interval for a time interval based on the time interval;

Calculate the value of the first target GSU corresponding to each time threshold interval based on the value of the first used quota authorization amount GSU allocated to the user corresponding to the two CCR messages whose time interval belongs to the time threshold interval by the online charging system;

calculating at least one rate threshold interval of the network rate based on the network rate;

Calculate the value of the second target GSU corresponding to each rate threshold interval based on the value of the second GSU allocated to the user for the two CCR messages whose network rate belongs to the rate threshold interval by the online charging system;

The traffic quota allocated to the user by the online charging system is adjusted based on the value of the first target GSU and the value of the second target GSU.

In a second aspect, the present invention provides a traffic quota adjustment device, including:

The statistical unit is used to count the time interval between two adjacent CCR messages belonging to the same user among the CCR messages sent by the online charging system to the user within the preset time period and the user within the time period between two adjacent CCR messages network speed;

a calculation unit, configured to calculate at least one time threshold interval of the time interval based on the time interval;

The calculation unit is further configured to calculate the value of the first target GSU corresponding to each time threshold interval based on the value of the first used quota authorization amount GSU allocated to the user corresponding to the two CCR messages whose time interval belongs to the time threshold interval by the online charging system. value;

The calculation unit is also used to calculate at least one rate threshold interval of the network rate based on the network rate;

The calculation unit is further configured to calculate the value of the second target GSU corresponding to each rate threshold range based on the value of the second GSU allocated to the user corresponding to the two CCR messages whose network rate belongs to the rate threshold range by the online charging system;

An adjustment unit, configured to adjust the traffic quota allocated to the user by the online charging system based on the value of the first target GSU and the value of the second target GSU.

In a third aspect, the present invention provides a traffic quota adjustment server, including:

memory, processor, communication interface and bus;

The memory, the processor and the communication interface are connected through the bus and complete the mutual communication;

The memory is used to store program code;

The processor runs the program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute a traffic quota adjustment method; wherein, the traffic quota adjustment method includes:

Count the time interval between two adjacent CCR messages belonging to the same user among the CCR messages sent by the online charging system to the user within the preset time period and the user's network rate in the time period between two adjacent CCR messages;

calculating at least one time threshold interval for a time interval based on the time interval;

Calculate the value of the first target GSU corresponding to each time threshold interval based on the value of the first used quota authorization amount GSU allocated to the user corresponding to the two CCR messages whose time interval belongs to the time threshold interval by the online charging system;

calculating at least one rate threshold interval of the network rate based on the network rate;

Calculate the value of the second target GSU corresponding to each rate threshold interval based on the value of the second GSU allocated to the user for the two CCR messages whose network rate belongs to the rate threshold interval by the online charging system;

The traffic quota allocated to the user by the online charging system is adjusted based on the value of the first target GSU and the value of the second target GSU.

The embodiment of the present invention provides a traffic quota adjustment method, device, and server. In the present invention, two parameters of rate and time interval are used to calculate the threshold interval of traffic quota allocation two-dimensionally, and the threshold interval calculation and threshold interval The value of the corresponding GSU realizes the adjustment of the value of the traffic quota, thus avoiding the problem that the adjusted quota value is not suitable for the user due to the single parameter considered in the prior art, and the quota value can be adjusted in time to avoid the problem caused by The quota assigned to the user is not appropriate, resulting in multiple requests from the user, reducing the number of message interactions and saving resources.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings required in the embodiments of the present invention. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For Those of ordinary skill in the art can also obtain other drawings based on these drawings without making creative efforts.

FIG. 1 is a schematic architecture diagram of an online charging system in an embodiment of the present invention;

FIG. 2 shows a schematic flowchart of a method for adjusting a traffic quota according to an embodiment of the present invention;

Fig. 3 shows a schematic block diagram of a flow quota adjustment device according to an embodiment of the present invention;

Fig. 4 shows a schematic block diagram of an apparatus for adjusting a traffic quota according to yet another embodiment of the present invention;

Fig. 5 is a schematic block diagram of a traffic quota adjustment server according to an embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

The embodiment of the present invention is applicable to the scenario of dynamically adjusting the quota in the online charging system. Fig. 1 is a schematic architecture diagram of an online charging system in an embodiment of the present invention. As shown in Figure 1, the online billing system includes: a traffic sample collection device, a quota calculation device, a message routing device, a converged billing device and an account processing device. Among them, the message routing device is used to communicate with network element equipment such as SCP, transmit messages such as CCR, and send messages such as CCR sent from the network element side to the converged billing device for authentication and calculation of the value of GSU according to routing rules; The traffic sample collection device is used to collect traffic and other samples on the message routing device, and obtains the sample data of CCR messages through port mirroring and other technologies, and stores them in the device; the quota calculation device is used to analyze and calculate the traffic samples collected by the traffic sample collection device Calculate the time interval and network rate two-dimensional quota threshold interval and the quota value corresponding to the threshold interval; the integrated billing device is used to call the data and services of the accounting processing device to complete user authentication and accounting processing , and according to the quota value output by the quota calculation device, calculate the GSU and return a message to the message routing device, as well as functions such as real-time reminder; the account processing device is used to complete functions such as user authentication and account processing.

Fig. 2 shows a schematic flowchart of a method for adjusting a traffic quota according to an embodiment of the present invention. As shown in Figure 2, the method includes the following steps: 110, in the CCR message that the online charging system sends to the user within the preset time period, the time interval and the time interval between two adjacent CCR messages belonging to the same user are counted. The network rate of the user in the time period between the CCR messages; 120, calculate at least one time threshold interval of the time interval based on the time interval; 130, allocate the corresponding user for two CCR messages whose time interval belongs to the time threshold interval based on the online charging system Calculate the value of the first target GSU corresponding to each time threshold interval; 140, calculate at least one rate threshold interval of the network rate based on the network rate; 150, determine that the network rate belongs to the rate threshold based on the online charging system The two CCR messages in the interval correspond to the value of the second GSU allocated by the user, and calculate the value of the second target GSU corresponding to each rate threshold interval; 160, adjust the online calculation based on the value of the first target GSU and the value of the second target GSU The traffic quota assigned by the fee system to the user.

In step 110, the CCR message sent by the online charging system to the user within the preset time period is pre-acquisition, and the CCR message sent by the online charging system to the user through a network element, the network element may be an SCP network element, and the CCR message includes Initial , Update, Terminal, etc. In the implementation of the present invention, the CCR message sent by the online charging system to the user may be Update (CCR-U). The network rate in the time period between two adjacent CCR messages can be calculated based on the time interval between two adjacent CCR messages and the traffic quota used by the user in this time interval. The traffic quota used by the user is The traffic quota allocated by the online charging system in the previous CCR message of two adjacent CCR messages.

It should be noted that the manner of obtaining the CCR message is not limited here, for example, the network port transmitting the CCR message may be mirrored to obtain the CCR message.

In step 120, there are multiple time intervals counted by step 110, and the time threshold interval indicates that the proportion of the time interval belonging to the time threshold interval reaches the time preset ratio, that is, among the multiple time intervals, there is a time interval with a time preset ratio Falling within the time threshold interval, the time threshold interval may include multiple intervals.

In step 130, the value of the GSU assigned to the user by the online charging system for the two CCR messages corresponding to the time interval belonging to the time threshold interval is obtained from the pre-acquired CCR message, that is, the value of the first GSU, and then according to these GSU Calculate the value of the first target GSU corresponding to the time threshold interval. The value of the first target GSU corresponding to the time threshold interval indicates the value of traffic quota assigned to the user when the time interval between two adjacent CCR messages of a user is within the preset threshold interval. A time threshold interval corresponds to a value of the first target GSU.

In step 140, there are multiple network rates calculated by step 110, and the rate threshold interval indicates that the proportion of the network rate belonging to the rate threshold interval reaches the rate preset ratio, that is, among multiple network rate intervals, the network with the rate preset ratio The rate falls within the rate threshold interval, and the rate threshold interval may include multiple intervals.

In step 150, the value of the GSU assigned by the online charging system to the user corresponding to the network rate belonging to the rate threshold interval, that is, the value of the second GSU, is obtained from the pre-acquired CCR message, and then the rate is calculated according to these GSU values The value of the second target GSU corresponding to the threshold interval. The value of the second target GSU corresponding to the rate threshold range indicates the value of the traffic quota allocated to the user when the network rate of the user is within the preset threshold range. When there are multiple rate threshold ranges, each rate threshold range corresponds to a first 2 The value of the target GSU.

In step 160, after calculating the value of the first target GSU and the value of the second target GSU, compare the calculated value of the first target GSU and the value of the second target GSU with the value of the current GSU, and determine whether the two Whether they are consistent, if not, adjust the current GSU value to the value of the first target GSU and the value of the second target GSU.

In the embodiment of the present invention, the two-dimensional calculation of the threshold interval of traffic quota allocation is carried out through the two parameters of rate and time interval, and the value of the GSU corresponding to the threshold interval is calculated for the threshold interval to realize the adjustment of the value of the traffic quota. It avoids the problem that the adjusted quota value is not suitable for the user due to single parameter consideration in the prior art, and can adjust the quota value in a timely manner to avoid the situation that the user requests multiple times due to the inappropriate quota allocated to the user , reducing the number of message interactions and saving resources.

It can be understood that, on the basis of the embodiment shown in FIG. 1 , the method further includes: 170, when receiving the traffic request message sent by the target user, determine the two times closest to receiving the traffic request message to the target user The target time interval between CCR messages, and the value of the third GSU assigned to the target user when the CCR is issued to the target user the closest to receiving the traffic request message; 180, calculate the user based on the target time interval and the value of the third GSU The target network rate; 190, determine the value of the GSU allocated to the user based on the target time interval, the target network rate, the time threshold interval and the rate threshold interval.

It should be noted that, in the online billing system, the converged billing device will perform forward pricing processing and calculate the GSU allocated to the user according to the service segment definition and the requested usage of RSU. VQT (Volume-Quota-Threshold, traffic quota threshold) and VT (Validity-Time, quota effective time) depend on the efficiency of network communication and remain basically unchanged. When the user balance is sufficient, the fusion billing device calculates through steps 170-190 The value of GSU realizes the dynamic adjustment of GSU.

Wherein, the traffic request message sent by the target user may be an Initial CCR request. When receiving the flow request message sent by the target user, first determine the two CCR messages sent to the target user before the current flow request message and the time closest to the current flow request message, and then determine the two CCR messages sent to the target user The target time interval of the CCR message sent by the target user, and the value of the GSU allocated to the target user (the value of the third GSU) when the CCR message is sent to the target user closest to the current traffic request message. In step 180, the target network rate of the user can be calculated by dividing the value of the third GSU by the target time interval. Then assign the current GSU value to the user based on the target time interval, target network rate, time threshold interval, and rate threshold interval.

It should be noted that in the embodiment of the present invention, the priority of the network rate can also be set higher than the interval time, that is, if T satisfies the time threshold interval and R also satisfies the rate threshold interval, then the rate threshold interval satisfied by R corresponds to The value of the second target GSU determines the value of the current GSU assigned to the user.

It can be understood that step 180 in the embodiment of the present invention can also be specifically executed as: determining the rate threshold interval to which the target network rate belongs; determining the value of the fourth GSU corresponding to the rate threshold interval to which the target network rate belongs in the second target GSU value; determine the time threshold interval to which the target time interval belongs; determine the value of the fifth GSU corresponding to the time threshold interval to which the target time interval belongs in the value of the first target GSU; compare the value of the fourth GSU with the value of the fifth GSU Larger values determine the value of the GSU assigned to the target user.

Specifically, assuming that the time threshold interval includes (0, T1), [T1, T2], (T2, +∞), the values of the first target GSU corresponding to the time threshold interval are G1, G2, G3, and the rate threshold interval includes (0, R1), [R1, R2], (R2, +∞), and the values of the second target GSU corresponding to the time threshold interval are G1', G2', G3' in sequence, then when the target user's target time is calculated After the interval T and the target network rate R, determine which interval the current time interval T and the current network rate R belong to. When R<R1, the value of the fifth GSU is G1'; when R>=R1 and R<=R2, the value of the fifth GSU is G2'; when R>R2, the value of the fifth GSU is G3' . When T<T1, the value of the fourth GSU is G1; when T>=T1 and T<=T2, the value of the fourth GSU is G2; when T>T2, the value of the fourth GSU is G3. After the value of the fourth GSU and the value of the fifth GSU are respectively determined, the sizes of the two are compared, and then the larger value of the two is determined as the value of the GSU allocated to the target user.

It can be understood that, in the embodiment shown in FIG. 1 , step 120 can be specifically executed as: 121, calculate the mean value and standard deviation of each peak corresponding to the time interval in the multi-peak normal distribution of the time interval; 122, according to each The time interval mean and standard deviation corresponding to peaks are calculated for at least one time threshold interval.

Wherein, the time interval obtained in step 110 satisfies the multi-peak normal distribution, and the definition formula of the multi-peak normal distribution is as shown in formula (1), then can determine a plurality of peaks from the multi-peak normal distribution of the time interval, Each peak has a corresponding time interval mean and variance, and the time interval mean and standard deviation corresponding to each peak can be calculated. After calculating the average value and standard deviation of the time interval corresponding to each peak, the endpoint of the time threshold interval can be calculated, and then the time threshold interval can be obtained. Usually, the number of peaks is the number of the time threshold interval.

In formula (1), i represents the number of peaks, and the summation is for i, where each i corresponds to an independent mean value μi, standard deviation σi, and its probability peak position, and each ki is a coefficient , and their total value = 1. The proportion f(x) of the time interval follows a multimodal normal distribution, where μ represents the time interval and describes the location parameter; σ represents the standard deviation of the time interval and describes the degree of dispersion. P represents the proportion of time intervals, and the endpoint T _i of the time threshold interval can be calculated according to the formula (2), where the value of P (X≤T _i ) is preset.

It should be noted that, if multiple pairs of T _i-1 and T _i are obtained through the formula (2), the group with the smallest T _i-1 is selected as the calculation result.

For example, the time interval mean and standard deviation of each peak calculated for a statistical time interval are: μ ₁ =3.2578, σ ₁ =98.73; μ ₂ =8.0001, σ ₂ =119.99; μ ₃ =12.9056, σ ₃ = 167.65, preset P = 94.8%, that is, the three peaks of the multimodal normal distribution in the time interval are 3.2578 seconds, 8.0001 seconds, and 12.9056 seconds, respectively, and the standard deviations of the three peaks are 98.73, 119.99, and 167.65, respectively. Calculate the endpoints of the time threshold intervals that account for 94.8% of the probability of the entire sample. According to the above data, it can be calculated that T1=6, T2=9, that is, the time threshold interval includes three intervals 0~6, 6~9, 9~+∞, and the proportion of each interval can reach a relative maximum.

It can be understood that, in the embodiment shown in FIG. 1, step 150 can be specifically executed as: 141, calculating the network rate average and standard deviation corresponding to each peak in the multi-peak normal distribution of the network rate; 142, according to each Calculate at least one rate threshold interval based on the network rate average and standard deviation corresponding to each peak value.

Wherein, the network rate obtained in step 110 satisfies the multimodal normal distribution, and the definition formula of the multimodal normal distribution is shown in formula (1), then multiple peaks can be determined from the multimodal normal distribution of the network rate, Each peak has a corresponding average rate and variance, and the average rate and standard deviation corresponding to each peak can be calculated. After calculating the average rate and standard deviation corresponding to each peak, you can calculate the endpoint of the rate threshold interval, and then obtain the rate threshold interval. Usually, the number of peaks is the number of rate threshold intervals. The endpoint of the rate threshold interval can be calculated according to formula (2).

It should be noted that the data processing principle of step 141 and step 142 is the same as the data processing principle of step 121 and step 122, and will not be repeated here.

It can be understood that, in the embodiment shown in FIG. 1 , step 130 can be specifically executed as: 131, counting the value of the first GSU within a preset time period; 132, calculating the first GSU value of the normal distribution of the first GSU A GSU average value and the first standard deviation; 133, calculate the value of the first target GSU according to the first GSU average value and the first standard deviation.

Wherein, in this embodiment, for each time threshold interval, first, the value of the first GSU assigned when the time interval in the CCR message belongs to the time threshold interval is counted, and the value of the first GSU satisfies a normal distribution, then firstly calculate its normal The first GSU average value and first standard deviation of the state distribution, and then calculate the value G _i of the first target GSU corresponding to this time threshold interval based on formula (3).

In formula (3), μ represents the mean value of the value of the first target GSU, describing the location parameter; σ represents the standard deviation of the value of the first target GSU, describing the degree of dispersion, and P represents the ratio of the value of the first target GSU, is preset.

For example, for the time threshold interval (0-6s), it is calculated: μ=12.564, σ=158.99, preset P=0.97, that is, the average value of the value of the first target GSU is 12.564 seconds, and the value of the first target GSU The standard deviation is 158.99, and it is necessary to calculate a value that accounts for 97% of the value of the overall first target GSU, and G _i =20 is calculated. That is, the value of the first target GSU corresponding to the time threshold interval (0-6s) is 20M.

It can be understood that, in the embodiment shown in FIG. 1, step 150 can be specifically executed as: 151, counting the value of the second GSU allocated when the network rate in the CCR message belongs to the rate threshold interval; 152, calculating the value of the second GSU The second GSU average value and the second standard deviation of the normal distribution; 153, calculate the value of the first target GSU according to the second GSU average value and the second standard deviation.

Wherein, in this embodiment, for each rate threshold interval, the value of the second GSU allocated when the network rate in the CCR message belongs to the rate threshold interval is firstly counted, and the value of the second GSU satisfies a normal distribution, then the normal distribution is first calculated. The second GSU average value and the second standard deviation of the state distribution, and then calculate the value G _i ' of the second target GSU corresponding to this time threshold interval based on formula (3).

It should be noted that the data processing principle of step 131 and step 133 is the same as the data processing principle of step 151 and step 153, and will not be repeated here.

Fig. 3 shows a schematic block diagram of an apparatus 200 for adjusting a traffic quota according to an embodiment of the present invention. As shown in Figure 3, the device 200 includes:

A statistical unit 201, configured to count the time interval between two adjacent CCR messages and the time period between two adjacent CCR messages among the CCR messages sent by the online charging system to the same user within a preset time period The network speed within;

a calculation unit 202, configured to calculate at least one time threshold interval of the time interval based on the time interval;

The calculation unit 202 is further configured to calculate the value of the first used quota authorization amount GSU allocated by the online charging system to the corresponding users of the two CCR messages whose time interval belongs to the time threshold interval, and calculate each The value of the first target GSU corresponding to the time threshold interval;

The calculation unit 202 is further configured to calculate at least one rate threshold interval of the network rate based on the network rate;

The calculation unit 202 is further configured to calculate the value of the second GSU corresponding to each of the rate threshold intervals based on the value of the second GSU allocated by the online charging system to the users corresponding to the two CCR messages whose network rates belong to the rate threshold interval. The value of the second target GSU;

An adjusting unit 203, configured to adjust the traffic quota allocated to the user by the online charging system based on the value of the first target GSU and the value of the second target GSU.

In the embodiment of the present invention, the two-dimensional calculation of the threshold interval of traffic quota allocation is carried out through the two parameters of rate and time interval, and the value of the GSU corresponding to the threshold interval is calculated for the threshold interval to realize the adjustment of the value of the traffic quota. It avoids the problem that the adjusted quota value is not suitable for the user due to single parameter consideration in the prior art, and can adjust the quota value in a timely manner to avoid the situation that the user requests multiple times due to the inappropriate quota allocated to the user , reducing the number of message interactions and saving resources.

Fig. 4 shows a schematic block diagram of an apparatus 200 for adjusting a traffic quota according to yet another embodiment of the present invention.

It can be understood that, as shown in FIG. 4, the device 200 may also include:

The determining unit 204 is configured to, when receiving a flow request message sent by a target user, determine a target time interval between two times of sending a CCR message to the target user closest to receiving the flow request message, and a target time interval between two times of receiving the CCR message to the target user, and a distance from receiving the flow request message. The value of the third GSU allocated to the target user when the traffic request message issued the CCR to the target user last time;

The calculation unit 202 is further configured to calculate the target network rate of the user based on the target time interval and the value of the third GSU;

The determining unit 204 is further configured to determine the value of the GSU allocated to the user based on the target time interval, the target network rate, the time threshold interval, and the rate threshold interval.

It can be understood that the determining unit 204 is also configured to:

determining a rate threshold interval to which the target network rate belongs;

determining the value of the fourth GSU corresponding to the rate threshold interval to which the target network rate belongs among the values of the second target GSU;

determining a time threshold interval to which the target time interval belongs;

determining the value of the fifth GSU corresponding to the time threshold interval to which the target time interval belongs among the values of the first target GSU;

Determine the larger value of the value of the fourth GSU and the value of the fifth GSU as the value of the GSU allocated to the target user.

It can be understood that the calculation unit 202 is also used for:

Compute the time interval mean and standard deviation corresponding to each peak in the multimodal normal distribution for said time interval;

The time threshold interval is calculated according to the time interval mean value and standard deviation corresponding to each peak value.

It can be understood that the calculation unit 202 is also used for:

calculating the mean and standard deviation of the network rate corresponding to each peak in the multi-peak normal distribution of the network rate;

The rate threshold interval is calculated according to the network rate average value and standard deviation corresponding to each peak value.

It can be understood that the calculation unit 202 is also used for:

Counting the value of the first used quota authorization amount GSU allocated when the time interval in the CCR message belongs to the time threshold interval;

calculating the first GSU mean and the first standard deviation corresponding to each peak in the multimodal normal distribution of the value of the first GSU;

calculating the first target GSU value according to the first GSU average value and the first standard deviation.

It can be understood that the calculation unit 202 is also used for:

Counting the value of the second GSU allocated when the network rate in the CCR message belongs to the rate threshold interval;

calculating the second GSU mean and the second standard deviation corresponding to each peak in the multimodal normal distribution of the value of the second GSU;

calculating the first target GSU value based on the second GSU average value and the second standard deviation.

The flow meter adjustment device 200 according to the embodiment of the present invention may correspond to the execution subject in the flow meter adjustment method according to the embodiment of the present invention, and the above-mentioned and other operations and/or other operations of each module in the flow meter adjustment device 200 The functions are respectively to realize the corresponding flow of each method in FIG. 1 , and for the sake of brevity, details are not repeated here.

FIG. 5 is a schematic block diagram of a traffic quota adjustment server 300 according to an embodiment of the present invention. As shown in FIG. 5 , the server 300 includes a processor 301, a memory 302 and a communication interface 303, the memory 302 is used to store executable program codes, and the processor 301 executes and executes by reading the executable program codes stored in the memory 302 Execute the program corresponding to the program code, the communication interface 303 is used to communicate with external devices, such as communicating with terminals, websites, etc., the server 300 can also include a bus 304, and the bus 304 is used to connect the processor 301, the memory 302 and the communication interface 303, The processor 301 , the memory 302 and the communication interface 303 communicate with each other through the bus 304 .

Specifically, the processor 301 is also configured to execute a traffic quota adjustment method; wherein, the traffic quota adjustment method includes:

Counting the time interval between two adjacent CCR messages and the network rate in the time period between two adjacent CCR messages among the CCR messages sent by the online charging system to the same user within the preset time period;

calculating at least one time threshold interval for a time interval based on the time interval;

Based on the value of the first used quota authorization amount GSU allocated by the online charging system to the two CCR messages whose time interval belongs to the time threshold interval, the first used quota authorization amount GSU is calculated for each of the time threshold intervals. the value of the target GSU;

calculating at least one rate threshold interval for the network rate based on the network rate;

Calculate the value of the second target GSU corresponding to each of the rate threshold intervals based on the value of the second GSU allocated by the online charging system to the users corresponding to the two CCR messages whose network rates belong to the rate threshold interval;

Adjusting the traffic quota allocated to the user by the online charging system based on the value of the first target GSU and the value of the second target GSU.

The traffic configuration adjustment server 300 according to the embodiment of the present invention may correspond to the execution subject in the traffic configuration adjustment method according to the embodiment of the present invention, and the above-mentioned and other operations and/or other operations of each module in the traffic configuration adjustment server 300 The functions are respectively to realize the corresponding flow of each method in FIG. 1 , and for the sake of brevity, details are not repeated here.

Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the relationship between hardware and software Interchangeability. In the above description, the composition and steps of each example have been generally described according to their functions. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present invention.

Those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the foregoing method embodiment, and will not be repeated here.

The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person familiar with the technical field can easily think of various equivalents within the technical scope disclosed in the present invention. Modifications or replacements shall all fall within the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims (15)

1. a kind of method of adjustment of flow quota, including：

Online charging system belongs to same user into the credit control request CCR message that user sends in statistics preset time period Two adjacent CCR message time interval and described two adjacent CCR message between period in user Network rate；

At least one time threshold section of time interval is calculated based on the time interval；

Two CCR message in the time threshold section are belonged to application for the time interval based on the online charging system The first of family distribution has used the value of quota warrant quantity GSU, calculates the corresponding first object GSU in each time threshold section Value；

At least one rate-valve value section of the network rate is calculated based on the network rate；

Two CCR message in the rate-valve value section are belonged to application for the network rate based on the online charging system The value of 2nd GSU of family distribution calculates the value of the corresponding second target GSU in each rate-valve value section；

The value of value and the second target GSU based on the first object GSU adjusts the online charging system as user point The flow quota matched.

2. according to the method described in claim 1, the method further includes：

When the traffic requests message for receiving target user's transmission, determine that distance receives nearest two of the traffic requests message It is secondary to issue target time interval between CCR message and apart from receiving the traffic requests message most to the target user The value of the 3rd GSU that closely primary is distributed when issuing CCR to the target user for the target user；

The target network rate of the user is calculated based on the value of the target time interval and the 3rd GSU；

Based on the target time interval, the target network rate, the time threshold section and the rate-valve value section It is determined as the value of the GSU of user's distribution.

3. according to the method described in claim 2, it is described based on the target time interval, it is the target network rate, described The value that time threshold section and the rate-valve value section are determined as the GSU of user's distribution includes：

Determine the rate-valve value section that the target network rate belongs to；

Determine corresponding 4th GSU in rate-valve value section that target network rate described in the value of the second target GSU belongs to Value；

Determine the time threshold section that the target time interval belongs to；

Determine corresponding 5th GSU in time threshold section that target time interval belongs to described in the value of the first object GSU Value；

The value of 4th GSU and value larger in the value of the 5th GSU are determined as to the GSU's of target user's distribution Value.

4. the according to the method described in claim 1, time that at least one time interval is calculated based on the time interval The step of threshold interval, includes：

Calculate the corresponding time-interval averaging value of each peak value and standard deviation in the multimodal normal distribution of the time interval；

At least one time threshold section is calculated according to the corresponding time-interval averaging value of each peak value and standard deviation.

5. according to the method described in claim 1, described calculate at least one network rate based on the network rate The step of rate-valve value section, includes：

Calculate the corresponding network rate average value of each peak value and standard deviation in the multimodal normal distribution of the network rate；

At least one rate-valve value section is calculated according to the corresponding network rate average value of each peak value and standard deviation.

6. according to the method described in claim 1, described belong to described based on the online charging system for the time interval Two CCR message in time threshold section correspond to the first of the user's distribution value for having used quota warrant quantity GSU, when calculating described Between the corresponding first object GSU of threshold interval value the step of include：

Count the value of the first GSU in the preset time period；

Calculate the first GSU average values and the first standard deviation of the normal distribution of the value of the first GSU；

The value of the first object GSU is calculated according to the first GSU average values and first standard deviation.

7. according to the method described in claim 1, described belong to described based on the online charging system for the network rate Two CCR message in rate-valve value section correspond to the value of the 2nd GSU of user's distribution, and it is corresponding to calculate the rate-valve value section The step of value of second target GSU, includes：

Count the value of the 2nd GSU in the preset time period；

Calculate the 2nd GSU average values and the second standard deviation of the normal distribution of the value of the 2nd GSU；

The value of the first object GSU is calculated according to the 2nd GSU average values and second standard deviation.

8. a kind of adjusting apparatus of flow quota, including：

Statistic unit, for counting the credit control request CCR message that online charging system is sent to user in preset time period In belong to same user two adjacent CCR message time interval and two adjacent CCR message between when Between in section user network rate；

Computing unit, for calculating at least one time threshold section of time interval based on the time interval；

The computing unit is additionally operable to belong to the time threshold section for the time interval based on the online charging system Two CCR message correspond to the first value for use quota warrant quantity GSU of user's distribution, calculate each time threshold area Between corresponding first object GSU value；

The computing unit is additionally operable to calculate at least one rate-valve value section of the network rate based on the network rate；

The computing unit is additionally operable to belong to the rate-valve value section for the network rate based on the online charging system Two CCR message correspond to user's distribution the 2nd GSU value, calculate corresponding second target in each rate-valve value section The value of GSU；

Adjustment unit adjusts the online charging for the value based on the first object GSU and the value of the second target GSU System is the flow quota of user's distribution.

9. device according to claim 8, further includes：

Determination unit is asked for when receiving the traffic requests message that target user sends, determining that distance receives the flow Ask message it is nearest issue target time interval between CCR message and apart from described in reception to the target user twice The value of the 3rd GSU that traffic requests message is recent to distribute for the target user when issuing CCR to the target user；

The computing unit is additionally operable to calculate the target of the user based on the value of the target time interval and the 3rd GSU Network rate；

The determination unit is additionally operable to based on the target time interval, the target network rate, the time threshold section It is determined as the value of the GSU of user's distribution with the rate-valve value section.

10. device according to claim 9, the determination unit is additionally operable to：

Determine the rate-valve value section that the target network rate belongs to；

Determine corresponding 4th GSU in rate-valve value section that target network rate described in the value of the second target GSU belongs to Value；

Determine the time threshold section that the target time interval belongs to；

Determine corresponding 5th GSU in time threshold section that target time interval belongs to described in the value of the first object GSU Value；

The value of 4th GSU and value larger in the value of the 5th GSU are determined as to the GSU's of target user's distribution Value.

11. device according to claim 8, the computing unit is additionally operable to：

Calculate the corresponding time-interval averaging value of each peak value and standard deviation in the multimodal normal distribution of the time interval；

The time threshold section is calculated according to the corresponding time-interval averaging value of each peak value and standard deviation.

12. device according to claim 8, the computing unit is additionally operable to：

Calculate the corresponding network rate average value of each peak value and standard deviation in the multimodal normal distribution of the network rate；

The rate-valve value section is calculated according to the corresponding network rate average value of each peak value and standard deviation.

13. device according to claim 8, the computing unit is additionally operable to：

It counts time interval described in the CCR message and belongs to first distributed during the time threshold section and awarded using quota The value of power amount GSU；

Calculate each corresponding first GSU average values of peak value and the first standard in the multimodal normal distribution of the value of the first GSU Difference；

The value of the first object GSU is calculated according to the first GSU average values and first standard deviation.

14. device according to claim 8, the computing unit is additionally operable to：

It counts network rate described in the CCR message and belongs to the value of the 2nd GSU distributed during the rate-valve value section；

Calculate each corresponding 2nd GSU average values of peak value and the second standard in the multimodal normal distribution of the value of the 2nd GSU Difference；

The value of the first object GSU is calculated according to the 2nd GSU average values and second standard deviation.

15. a kind of adjustment server of flow quota, including：

Memory, processor, communication interface and bus；

The memory, the processor are connected by the bus with the communication interface and complete mutual communication；

The memory is used to store program code；

The processor is run and the executable program by reading the executable program code stored in the memory The corresponding program of code, for performing a kind of method of adjustment of flow quota；Wherein, the method for adjustment packet of the flow quota It includes：

Online charging system belongs to same user into the credit control request CCR message that user sends in statistics preset time period Two adjacent CCR message time interval and two adjacent CCR message between period in user net Network rate；

At least one time threshold section of time interval is calculated based on the time interval；

Two CCR message in the time threshold section are belonged to application for the time interval based on the online charging system The first of family distribution has used the value of quota warrant quantity GSU, calculates the corresponding first object GSU in each time threshold section Value；

At least one rate-valve value section of the network rate is calculated based on the network rate；

Two CCR message in the rate-valve value section are belonged to application for the network rate based on the online charging system The value of 2nd GSU of family distribution calculates the value of the corresponding second target GSU in each rate-valve value section；

The value of value and the second target GSU based on the first object GSU adjusts the online charging system as user point The flow quota matched.