KR100564972B1 - Method for enlarging system capacity using statistical traffic data in communication network - Google Patents

Abstract

The present invention uses the traffic statistics of the communication network to make the most of the system capacity by setting the additional traffic amount based on the estimated traffic value by calculating the predicted traffic value based on the statistical data of the traffic amount by the user request of the communication network. Provides a way to increase system capacity. To this end, the present invention is a communication traffic processing method of a communication network for processing the traffic flowing by the user's request in the communication network, calculating the statistical data on the traffic flowing by the user's request in the communication network, and the communication traffic Selecting a maximum traffic growth rate and a minimum traffic growth rate for each time zone by using statistical data of, and using the maximum traffic growth rate and the minimum traffic growth rate, calculating a traffic prediction value from the current time point to the next statistical calculation point, and adding additional traffic. Calculating an amount, and adding the additional traffic amount to the traffic processing means of the communication network.

Network, traffic, statistics, resources, system capacity, database

Description

Method of increasing system capacity using traffic statistics of communication network {METHOD FOR ENLARGING SYSTEM CAPACITY USING STATISTICAL TRAFFIC DATA IN COMMUNICATION NETWORK}             

1 is a diagram illustrating a system configuration for processing communication traffic in a general communication network;

2 is a graph illustrating a traffic capacity state according to a user request for each time zone according to the system configuration of FIG. 1;

3 is a diagram illustrating a configuration for processing communication traffic in a communication network to which the system capacity increasing method of the present invention is applied;

4 is a graph illustrating a statistical analysis result of communication traffic capacity according to user request for each time zone according to an embodiment of the present invention;

5 is a diagram schematically illustrating a process of calculating an additionally predicted traffic amount using statistical data of communication traffic according to a preferred embodiment of the present invention;

6 and 7 are flowcharts illustrating an operation of a system capacity increase method using traffic statistics of a communication network according to the present invention.

<Description of Symbols for Main Parts of Drawings>

30, 40: traffic processing unit, 50: processing control unit,

60: direct traffic data, 62: additional traffic data,

64, 66: statistical data, 70: database,

76: maximum peak traffic data, 78: maximum resource usage data,

84: Predictive traffic data.

The present invention relates to a method for increasing system capacity using traffic statistics of a communication network, and more particularly, to a system applied to a general communication service such as the Internet or a mobile communication network that can statistically check a usage pattern of a communication user. The present invention relates to a method for increasing system capacity using traffic statistics of a communication network to make full use of traffic capacity.

In general, a communication system such as a wired / wireless Internet or a mobile communication network can accommodate a capacity capable of withstanding peak time traffic to ensure uniform communication quality and communication speed for all users using the communication. The system is being designed to This means that there is always room in the system except for peak tIME.

Setting the system capacity in such a network system is limited to wired / wireless communication resources, and to provide an efficient communication service for a network user by using such limited resources, which is a variety of voice signals, packet data, video, etc. It is a method for efficiently accepting the type of traffic.

That is, FIG. 1 is a diagram illustrating a system configuration for processing communication traffic in a general communication network.

As shown in FIG. 1, in a communication network system such as a general Internet or a mobile communication network, a system suitable for a communication device of each communication network user in the traffic processing unit 10 or 20 according to a traffic processing request for data transmission / reception of a communication network user. Perform traffic processing with capacity.

Each of the traffic processing units 10 and 20 performs traffic distribution according to a communication network usage pattern of a user who uses the corresponding communication network, and performs traffic processing according to a system processing capacity of a busy time that is formed incorrectly for each service.

On the other hand, Figure 2 shows the traffic capacity status according to the user request for each time zone in the communication network, as shown in Figure 2, the traffic throughput of the user's request for each time zone is uneven according to the time zone in contrast to the maximum performance of the system As a result, there are many requests from the user at a specific point in time, while the remaining amount of communication traffic remains in the remaining time period.

For example, in the case of an e-mail system applied to a communication network of a wired / wireless Internet, a mail transmission volume has a sine graph for each time zone, and a short message system (SMS) service applied to a mobile communication network. Edo shows the distribution of sine graphs for each time slot.

However, in such a communication network system, as a user using the system shows a usage pattern for each time zone as shown in FIG. 2, the maximum performance of the system cannot be used at all times depending on the usage pattern. On the other hand, there is a problem in that the traffic capacity that can be utilized by each network user is limited.

In addition, in the conventional various communication network systems, since user requests are distributed unevenly according to time zones, it is difficult to always uniformly use the maximum amount of traffic in contrast to the maximum performance of the system. Since there is no plan to efficiently use the traffic margin by statistically maximizing the request, it is difficult not only to waste unnecessary communication resources but also to properly distribute the traffic volume in the time zone where the user's request is maximized. There is a problem.

Accordingly, the present invention has been made in view of the above-described conventional circumstances, and an object thereof is to calculate an additional traffic amount based on the estimated traffic value by calculating a predicted traffic value based on statistical data of the traffic amount by a user request of a communication network. It is to provide a system capacity increase method using the traffic statistics of the communication network to maximize the system capacity by setting.                         

Another object of the present invention is to calculate the traffic prediction error by calculating the difference between the predicted traffic value based on the statistical data of the traffic volume and the actual traffic traffic statistics, thereby correcting the predicted traffic value by using the traffic prediction error. The present invention provides a method for increasing system capacity using traffic statistics of a communication network.

In order to achieve the above object, according to the present invention, in the communication traffic processing method of a communication network for processing the traffic flowing by the user's request in the communication network, calculating the statistical data on the traffic flowing by the user's request in the communication network And selecting a maximum traffic growth rate and a minimum traffic growth rate for each time zone by using the statistical data of the communication traffic, and using the maximum traffic growth rate and the minimum traffic growth rate, a traffic prediction value from the current time point to the next statistical calculation time point. Comprising a step of calculating, and calculating the additional input traffic amount, and adding the additional traffic amount to the traffic processing means of the communication network provides a system capacity increase method using the traffic statistics of the communication network.

Preferably, in the present invention, calculating the statistical data of the direct traffic at the request of the user, calculating the statistical data of the additional traffic by the additional request of the user, and the sum of the direct traffic and the additional traffic Calculating statistical data.

More preferably, the present invention comprises the steps of: database the statistical data of the direct traffic, the statistical data of the additional traffic, and the statistical data on the sum of the direct traffic and the additional traffic; Collecting the system resource information together with the traffic statistics and database the resource resource information on the same time base.

Hereinafter, the present invention configured as described above will be described in detail with reference to the accompanying drawings.

That is, FIG. 3 is a diagram illustrating a configuration for processing communication traffic in a communication network to which the system capacity increasing method of the present invention is applied.

As shown in FIG. 3, the system for communication traffic processing to which the method of the present invention is applied includes a traffic processing unit 30 and 40 and a processing control unit 50.

The traffic processing units 30 and 40 perform communication traffic processing based on system capacity in response to user request (TRAFFIC_all) information for transmitting / receiving signals and data, such as voice, packet, and video, of a network user. Computing the statistical data on the traffic (TRAFFIC_direct) directly introduced by the request of the traffic and traffic (TRAFFIC_controller) additionally introduced by the additional user request information to the processing control unit 50, the direct inflow traffic and the additional inflow Statistical data on the sum of traffic (TRAFFIC_total) is calculated.

In this case, the traffic processing unit (30, 40) is to provide each of the statistical data to the processing control unit 50 at regular intervals, such as 1 minute, 5 minutes, 10 minutes, the processing control unit ( The traffic processing for the user's request is performed according to the additional traffic amount calculated based on the traffic amount prediction from 50).

In addition, the processing control unit 50 performs additional traffic processing according to additional user request information additionally requested for the user request of the traffic processing units 30 and 40, and statistical data from the traffic processing units 30 and 40. In addition to receiving the database, and collects the database resource information for the network system.

The processing controller 50 calculates the predicted traffic data based on the statistical data and the resource information, which is databased, and calculates the additional traffic amount based on the predicted traffic data to input the traffic processing units 30 and 40. do.

Here, as shown in FIG. 4, the processing control unit 50 can estimate traffic for the maximum performance of the system statistically verified for each time zone, so that an additional user request or advertisement can be made for the allowance of the maximum capacity. It is possible to add a large amount of reservation data such as event-based e-mail data and short message data without exceeding the maximum capacity according to traffic conditions.

Next, FIG. 5 is a diagram schematically illustrating a process of calculating an additional traffic amount using statistical data of communication traffic according to an exemplary embodiment of the present invention.

As shown in FIG. 5, each traffic processing unit 30 and 40 calculates statistical data 64 for the direct traffic data 60 by traffic flowing by a user request on a communication network, respectively, and the processing control unit. Calculate the statistical data 66 of the additional traffic data 62 introduced by the request of the additional user for 50, and add to the sum of the traffic of the direct traffic data 60 and the additional traffic data 62; Total statistics data 68 is calculated.

In this state, the traffic processing unit 30, 40 periodically processes the respective statistical data 64, 66 and the total statistical data 68 at appropriate time intervals such as 1 minute, 5 minutes, 10 minutes, and the like. The processing control unit 50 may provide statistical data 64 and 66 and total statistical data provided periodically from the traffic processing units 30 and 40 while the database 70 is established. 68 will be stored in the traffic statistics data store 72 of the database 70.

At this time, the processing control unit 50 selects the maximum value of each of the statistical data (64, 66, 68) collected in the traffic statistics data storage (72) for convenience of data retrieval to the database (70). By assigning and managing, the database can be updated so that the maximum value can be updated in real time.

In addition, the processing controller 50 collects system resource usage information of the corresponding traffic processing units 30 and 40 on the same time axis as the traffic statistics data, and stores the system resource usage information in the resource usage information storage 74. For example, basic hardware resources such as CPU, memory, input / output ports, etc. provided in the traffic processing units 30 and 40, queues related to the performance of the system, number of session connections, system management when the software is running. Corresponds to the resources provided by the program (OS).

Then, the processing control section 50 extracts the maximum peak traffic (TRAFFIC_max) data 76 through the statistical data collected in the traffic statistics data storage 72 of the database 70, and together with the resource usage information storage. The maximum resource (RESOURCE_max) usage data 78 is extracted with respect to the resource usage information collected at 74.

In this state, the processing control unit 50 calculates the maximum traffic growth rate on a specific date and the same time period in the previous week and the previous month based on the maximum peak traffic data 76 and the maximum resource usage data 78. The maximum traffic growth rate (TRAFFIC_max_ratio) 80 and the minimum traffic growth rate (TRAFFIC_min_ratio) 82 for each time zone are selected by comparing the maximum growth rate for each time zone among the traffic statistics. This is to use the highest increase rate from a statistical point of view in order to prevent the increase in traffic from the forecast when predicting future traffic increase using the current traffic statistics.

The processing control unit 50 predicts the traffic from the current time point to the next statistical calculation time point using the values of the selected maximum traffic growth rate 80 and the minimum traffic growth rate 82 and predicts traffic (TRAFFIC_direct_predict) data 84 ) Is calculated, and through this, a traffic amount (TRAFFIC_controller_next) 86 that can be additionally input is calculated. Here, the additional traffic volume 86 should be less than or equal to the maximum peak traffic data 76.

On the other hand, the processing control section 50 calculates the additional traffic amount by calculating the predicted traffic data 84, thereby injecting the additional traffic amount into the traffic processing unit 30, the predicted traffic data and the actually introduced traffic. Calculates the difference with the statistics for and records the traffic prediction error (TRAFFIC_predict_error) in the database 70, and the average value of the traffic prediction error (TRAFFIC_predict_error_average), that is, the average of the traffic prediction error for the current day, the previous week, and the previous month Since the data is calculated by using a database, the result is used as a correction value (TRAFFIC_direct_predict2) of the predicted traffic data, so that the correct value can be corrected.

Next, the operation of the present invention made as described above will be described in detail with reference to the flowcharts of FIGS. 6 and 7.

First, the traffic processing units 30 and 40 perform traffic processing according to a user request for transmitting / receiving signals and data such as voice, packets, and images of a user through a communication network (step S10), and the processing control unit 50. In step S11, traffic processing is performed according to the additional user request.

In this state, the traffic processing unit (30, 40) calculates the statistical data for the traffic directly flown in response to the user's request, and the statistical data of the traffic flowed by the additional user request to the processing control unit 50 On the other hand, the statistical data about the sum of the traffic flowing into the corresponding traffic processing units 30 and 40 and the additional traffic to the processing control unit 50 is calculated (step S12).

At this time, the traffic processing unit 30, 40 is the statistical data for the direct traffic, the statistical data for the additional traffic, the statistical data for the sum of each traffic, such as 1 minute, 5 minutes, 10 minutes, etc. The control unit 50 is periodically transmitted at an appropriate time interval (step S13), and the processing control unit 50 transmits statistical data received periodically from the traffic processing unit 30, 40 of the database 70. The data is stored in the traffic statistics data storage 72 and made into a database (step S14).

In addition, the processing control section 50 collects various resource usage information for the traffic processing section 30, 40 and makes a database as data on the same time axis in the resource usage information storage 74 (step S15).

Then, in the processing control unit 50, the predicted traffic for injecting the additional traffic amount into the traffic processing units 30 and 40 has been previously calculated, so that the difference between the predicted traffic data and the actually introduced traffic statistics data is reduced. It is judged whether or not there exists (step S16).

As a result of the determination, if it is determined that there is a difference between the predicted traffic data previously calculated and the actual incoming traffic collected in the traffic statistics data storage 72 of the database 70, the traffic prediction error is determined. In addition to recording the value in the database 72, the average of the traffic prediction error values for the current day, the previous week, and the previous month is calculated and the database is together (step S17).

In addition, the processing control unit 50 processes the maximum peak traffic processed by the traffic processing units 30 and 40 without errors in the traffic statistics values through the traffic statistics data collected in the traffic statistics data storage 72 of the database 70. And the maximum resource usage at that time is calculated (step S18).

In this state, the processing control unit 50 stores the statistical data collected in the traffic traffic data storage 72 of the database 70 and the resource usage information storage 74 based on the maximum peak traffic and the maximum resource usage. The resource usage information collected sets the maximum growth rate for each hour of the day among the maximum value of today's traffic growth rate and traffic statistics for the same time period in the previous week and the previous month. If Time (A) <Time (B) in the relationship between Traffic (A) and Traffic (B) in the same time zone (Time (B) of the previous week), Time (A), Time In (B), the increase rate of traffic is represented as the derivative value of AB interval like [ΔTraffic (B, A)] / [ΔTime (B, A)]. Therefore, the maximum increase rate of traffic can be selected. If you have a negative value, it is the minimum traffic growth rate. Is selected (step S19).

In addition, the processing control unit 50 calculates the predicted traffic data by estimating the traffic amount from the current time point to the next statistical time point using the maximum traffic increase rate and the minimum traffic increase rate value (step S20).

In this state, the processing control section 50 determines whether there is a difference between the actual traffic inflow statistics of step S16 and the previous traffic inflow expected value and the traffic prediction error is calculated and databased therein ( Step S21).

As a result of the determination, when the processing control unit 50 determines that the traffic prediction error is calculated and databased, the processing control unit 50 calculates a correction value (the average of the predicted traffic amount + the traffic prediction error) for the predicted traffic data (step S22). ).

Then, the processing control section 50 calculates the additional traffic amount that can be additionally input from the predicted traffic data, and the additional traffic amount must be equal to or smaller than the maximum peak traffic data value (step S23).

On the other hand, the processing control unit 50 inputs the traffic amount that can be additionally injected into each traffic processing unit 30, 40, and monitors the resource information of the traffic processing unit 30, 40 (step S24).

In this case, the processing control unit 50 controls the value of the traffic amount additionally added so that the resource information of the monitored traffic processing units 30 and 40 is equal to or smaller than the value of the maximum resource usage data. Adjusted by

Thus, the processing control unit 50 by repeatedly performing the process from step S11 to step S24, to identify the maximum traffic throughput that has been stably operated and to determine the margin for the maximum traffic throughput by calculating the traffic inflow Allow additional loads to be introduced.

On the other hand, the present invention is not limited to the above-described typical preferred embodiments, but can be carried out in various ways without departing from the gist of the present invention, various modifications, alterations, substitutions or additions are common in the art Those who have knowledge will easily understand. If the implementation by such improvement, change, replacement or addition falls within the scope of the appended claims, the technical idea should also be regarded as belonging to the present invention.

As described above, according to the present invention, in the communication network system such as the Internet or mobile communication network, the maximum traffic throughput is determined by using the statistical data of the traffic flowing by the user's request, and the traffic inflow is calculated to calculate additional traffic for the maximum traffic throughput. By calculating the amount and inputting it properly, it is possible not only to control the communication load within the maximum capacity limit of the system, but also to make the most of the system capacity, thereby maximizing the system utilization. .

Claims (13)

In the communication network processing method for processing traffic flowing in response to a user's request in the communication network, A first step of calculating statistical data on traffic flowing in response to a user's request in a communication network; A second step of selecting a maximum traffic growth rate and a minimum traffic growth rate for each time zone by using the statistical data of the communication traffic; A third step of calculating a traffic prediction value from the current time point to the next statistical time point using the maximum traffic increase rate and the minimum traffic increase rate, and calculating additional traffic volume; And a fourth step of adding the additional traffic amount to the traffic processing means of the communication network. The method of claim 1, The first step may include calculating statistical data on direct traffic at the request of a user; Calculating statistical data of additional traffic by additional request of a user, and And calculating statistical data on the sum of the direct traffic and the additional traffic. The method of claim 2, The first step may further include a step of databaseting the statistical data of the direct traffic, the statistical data of the additional traffic, and the statistical data on the sum of the direct traffic and the additional traffic. System capacity increase method using The method of claim 3, wherein In the first step, the system capacity increase method using the traffic statistics of the communication network, characterized in that to form a separate database field for the maximum value of the three statistical data to be updated in real time. The method of claim 3, wherein The first step is configured to periodically database the statistical data of the direct traffic, the statistical data of the additional traffic, and the statistical data on the sum of the direct traffic and the additional traffic at regular time intervals. How to increase system capacity using traffic statistics. The method of claim 3, wherein The first step may further include collecting the system resource information of the traffic processing means for performing the traffic processing together with the traffic statistics and database the resource resource information as the resource usage information on the same time axis. How to increase system capacity used. The method according to any one of claims 1 to 3 and 6, The second step may include calculating the maximum peak traffic processed without error in the traffic statistics value through the statistical data of the communication traffic; Calculating maximum resource usage data for the maximum peak traffic; Based on the maximum peak traffic and the maximum resource usage data, the maximum traffic growth rate and the minimum traffic growth rate for each time period from the maximum value of today's traffic growth rate and the traffic statistics value of the same time zone in the previous week and the previous month, based on the database's statistical data. System capacity increase method using the traffic statistics of the communication network, characterized in that comprising the step of selecting. The method of claim 1, In the third step, the additional input traffic amount is equal to or less than the maximum peak traffic system capacity increase method using the traffic statistics of the communication network. The method of claim 7, wherein The fourth step further comprises the step of injecting the additional traffic amount into the traffic processing means, and monitoring the resource information of the traffic processing means further comprises the system capacity increase method using the traffic statistics of the communication network. The method of claim 9, In the fourth step, the method for increasing the system capacity using the traffic statistics of the communication network, characterized in that for adjusting the value of the additional traffic by the timer so that the monitored resource information is equal to or less than the maximum resource usage data. The method of claim 1, In the fourth step, the traffic capacity estimation method using the traffic statistics of the communication network, characterized in that for calculating the traffic prediction error in accordance with the difference between the traffic forecast value and the statistics of traffic actually introduced by the additional input traffic. The method of claim 11, The method of claim 4, wherein the traffic prediction error is databased by calculating an average value of the traffic prediction error of the present day, the previous week, and the previous month. The method of claim 12, In the fourth step, the system capacity increasing method using the traffic statistics of the communication network, characterized in that for generating a correction value of the predicted traffic data using the average value of the database traffic prediction error.

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