Method, apparatus, device, storage medium and product for configuring bandwidth of bearer network

Abstract

The application provides a kind of bearer network bandwidth configuration method, device, equipment, storage medium and product, comprising: according to the flow rate current situation value of the traffic outlet network equipment of the metropolitan area network core router MB in current period and the flow rate predicted value of the traffic outlet network equipment of the MB in next period in the region to be configured, determine the flow rate growth coefficient of the traffic outlet network equipment of the MB in next period in the region to be configured;According to flow rate growth coefficient and the negative feedback correction coefficient of the traffic outlet network equipment of the MB in next period, determine the bandwidth growth coefficient of the traffic outlet network equipment of the MB in next period in the region to be configured;According to the bandwidth current situation value of the traffic outlet network equipment of the MB in current period and bandwidth growth coefficient in the region to be configured, obtain the target bandwidth configuration value of the traffic outlet network equipment of the MB in next period in the region to be configured.It realizes the flexibility and accuracy of resource configuration, effectively cope with the growth change of service flow rate.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of communication technology, in particular to a kind of bearer network bandwidth configuration method, device, equipment, storage medium and product. BACKGROUND

[0002] Metropolis Backbone Route (MB) is the key equipment of data communication in city range, it is located in the core position of metropolitan area network, responsible for high speed, efficient forwarding and processing data flow from different subnets and users.Metropolitan area network core router as all user traffic is the core network element that it is passed on, it is responsible for converging and forwarding traffic from different users, different service types.Therefore, its bearer network bandwidth resource configuration is directly related to the overall performance of network and user experience.

[0003] The existing bearer network bandwidth resource configuration method of metropolitan area network core router mainly relies on the data research of network management center and the business development of each city, lacks the rationality analysis of overall data, and the bandwidth configuration is different due to the estimation of each city, which leads to the uneven utilization rate of bandwidth after actual bandwidth expansion construction, and the busy and idle are different.This not only affects the overall performance of network and user experience, but also may lead to the waste of resources and the generation of bottleneck.Therefore, it is urgent to develop a more intelligent and dynamic bandwidth resource configuration method to better adapt to the change of business flow rate, improve the bandwidth utilization rate and realize the balanced configuration of resources. SUMMARY

[0004] The present application provides a kind of bearer network bandwidth configuration method, device, equipment, storage medium and product to solve the defects in prior art.

[0005] The present application provides a kind of bearer network bandwidth configuration method, comprising:

[0006] According to the flow rate current value of the traffic outlet network equipment of the metropolis backbone route (MB) in the current period in the region to be configured and the flow rate predicted value of the traffic outlet network equipment of the MB in the next period in the region to be configured, determine the flow rate growth coefficient of the traffic outlet network equipment of the MB in the next period in the region to be configured;

[0007] According to the flow rate growth coefficient and the negative feedback correction coefficient of the traffic outlet network equipment of the MB in the next period in the region to be configured, determine the bandwidth growth coefficient of the traffic outlet network equipment of the MB in the next period in the region to be configured, wherein the negative feedback correction coefficient is obtained based on the bandwidth utilization rate of the traffic outlet network equipment of the MB;

[0008] According to the bandwidth current value of the MB traffic exit network device of the region to be configured in the current period and the bandwidth growth coefficient, a target bandwidth configuration value of the MB traffic exit network device of the region to be configured in the next period is obtained.

[0009] According to the method for configuring bandwidth of a bearer network provided by the application, the traffic exit network device comprises an uplink exit network device, the uplink exit network device comprises a backbone layer router BC and a provincial network core router PB, and the method further comprises:

[0010] Based on the fixed network service traffic distribution data of the MB of the region to be configured in the current period, a first flow direction ratio of the fixed network service traffic of the MB of the region to be configured flowing to the BC and a second flow direction ratio of the fixed network service traffic of the MB of the region to be configured flowing to the PB are determined.

[0011] Based on the mobile network service traffic distribution data of the MB of the region to be configured in the current period, a third flow direction ratio of the mobile network service traffic of the MB of the region to be configured flowing to the BC and a fourth flow direction ratio of the mobile network service traffic of the MB of the region to be configured flowing to the PB are determined.

[0012] According to the flow rate prediction value of the fixed network service of the MB of the region to be configured in the next period and the first flow direction ratio, and the flow rate prediction value of the mobile network service of the MB of the region to be configured in the next period and the third flow direction ratio, a flow rate prediction value of the BC of the region to be configured in the next period is determined.

[0013] According to the flow rate prediction value of the fixed network service of the MB of the region to be configured in the next period and the second flow direction ratio, and the flow rate prediction value of the mobile network service of the MB of the region to be configured in the next period and the fourth flow direction ratio, a flow rate prediction value of the PB of the region to be configured in the next period is determined.

[0014] According to the method for configuring bandwidth of a bearer network provided by the application, the traffic exit network device comprises a downlink exit network device, the downlink exit network device comprises a broadband access server BRAS, and the method further comprises:

[0015] Based on the fixed network service traffic distribution data of the MB of the region to be configured in the current period, a fifth flow direction ratio of the fixed network service traffic of the MB of the region to be configured flowing to the BRAS is determined.

[0016] According to the flow rate prediction value of the fixed network service of the MB of the region to be configured in the next period and the fifth flow direction ratio, a flow rate prediction value of the BRAS of the region to be configured in the next period is determined.

[0017] According to the method for configuring bandwidth of a bearer network provided by the application, the method further comprises:

[0018] determine a first single-user flow rate prediction value of the fixed network service of the region to be configured in the next period based on the first single-user flow rate value of the fixed network service of the region to be configured in the current period;

[0019] determine a second single-user flow rate prediction value of the mobile network service of the region to be configured in the next period based on the second single-user flow rate value of the mobile network service of the region to be configured in the current period;

[0020] determine the number of users of the fixed network service and the number of users of the mobile network service of the region to be configured in the current period;

[0021] obtain a flow rate prediction value of the fixed network service of the MB of the region to be configured in the next period according to the first single-user flow rate prediction value and the number of users of the fixed network service of the region to be configured in the current period;

[0022] obtain a flow rate prediction value of the mobile network service of the MB of the region to be configured in the next period according to the second single-user flow rate prediction value and the number of users of the mobile network service of the region to be configured in the current period.

[0023] According to the method for configuring the bandwidth of the bearer network provided by the application, the target bandwidth configuration value of the traffic egress network device of the MB of the region to be configured in the next period is obtained according to the bandwidth status value of the traffic egress network device of the MB of the region to be configured in the current period and the bandwidth growth coefficient, and the method comprises the following steps:

[0024] the initial bandwidth configuration value of the traffic egress network device of the MB of the region to be configured in the next period is obtained by linear calculation according to the bandwidth status value of the traffic egress network device of the MB of the region to be configured in the current period and the bandwidth growth coefficient;

[0025] determine the minimum bandwidth unit that can be configured by the traffic egress network device of the MB;

[0026] the initial bandwidth configuration value is processed by even number according to the minimum bandwidth unit that can be configured by the traffic egress network device of the MB, so as to obtain the target bandwidth configuration value of the traffic egress network device of the MB of the region to be configured in the next period.

[0027] According to the method for configuring the bandwidth of the bearer network provided by the application, the negative feedback correction coefficient of the traffic egress network device of the MB of the region to be configured in the next period is obtained by the following method:

[0028] determine the bandwidth utilization status value of the traffic egress network device of the MB of the region to be configured in the current period;

[0029] determine the bandwidth utilization target value of the traffic egress network device of the MB of the region to be configured in the next period;

[0030] According to the bandwidth utilization status value and the bandwidth utilization target value, a negative feedback correction coefficient of the traffic egress network device of the MB in the next period is determined.

[0031] The application further provides a bearer network bandwidth configuration device, comprising:

[0032] The first bandwidth configuration module is used for determining a flow speed increasing coefficient of the traffic egress network device of the MB in the next period according to a flow speed status value of the traffic egress network device of the MB in the current period and a flow speed prediction value of the traffic egress network device of the MB in the next period.

[0033] The second bandwidth configuration module is used for determining a bandwidth increasing coefficient of the traffic egress network device of the MB in the next period according to the flow speed increasing coefficient and a negative feedback correction coefficient of the traffic egress network device of the MB in the next period, wherein the negative feedback correction coefficient is obtained based on the bandwidth utilization of the traffic egress network device of the MB.

[0034] The third bandwidth configuration module is used for obtaining a target bandwidth configuration value of the traffic egress network device of the MB in the next period according to a bandwidth status value of the traffic egress network device of the MB in the current period and the bandwidth increasing coefficient.

[0035] The application further provides an electronic device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the bearer network bandwidth configuration method as described above when executing the program.

[0036] The application further provides a non-transient computer readable storage medium, which stores a computer program, wherein the computer program is executable on a processor to implement the bearer network bandwidth configuration method as described above.

[0037] The application further provides a computer program product, comprising a computer program, wherein the computer program is executable on a processor to implement the bearer network bandwidth configuration method as described above.

[0038] The application provides a method, device, equipment, storage medium and product for configuring bandwidth of a bearer network, which calculates a flow rate growth coefficient according to a flow rate current value of a traffic export network device of an MB in a current period and a flow rate predicted value of the traffic export network device of the MB in a next period, proactively identifies a change trend of network traffic, and thus makes preparations for planning and adjusting bandwidth resources in advance; then, the bandwidth growth coefficient is dynamically adjusted in combination with the flow rate growth coefficient and a negative feedback correction coefficient of the traffic export network device of the MB in the next period, so as to ensure flexibility and accuracy of resource configuration; finally, the bandwidth of the traffic export network device of the MB in the next period is dynamically adjusted according to a target bandwidth configuration value determined according to the bandwidth growth coefficient of the traffic export network device of the MB in the next period and a bandwidth current value of the traffic export network device of the MB in the current period, so as to optimize bandwidth utilization, improve stability and efficiency of network services, realize balanced resource configuration, and effectively cope with growth and change of service flow rate. BRIEF DESCRIPTION OF DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the application or prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the application, and other drawings can be obtained by those skilled in the art without any creative effort on the basis of these drawings.

[0040] Figure 1 is a flowchart of the method for configuring bandwidth of a bearer network provided by the application;

[0041] Figure 2 is a schematic diagram of an Internet provincial network networking architecture scenario provided by the application;

[0042] Figure 3 is a structural schematic diagram of the bandwidth configuration device provided by the application;

[0043] Figure 4 is a structural schematic diagram of the electronic device provided by the application. DETAILED DESCRIPTION

[0044] In order to make the objectives, technical solutions and advantages of the application clearer, the following will combine the drawings in the application to clearly and completely describe the technical solutions in the application. Obviously, the described embodiments are some of the embodiments of the application, rather than all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without any creative effort fall within the protection scope of the application.

[0045] The application also provides a method for configuring bandwidth of a bearer network, Figure 1Figure 1 is a flowchart of a method for configuring bandwidth of a bearer network according to the present application. Figure 1 As shown in the figure, the method comprises the following steps.

[0046] In step 110, a flow rate growth coefficient of the traffic egress network device of the metropolitan area network core router MB in the next period is determined according to the flow rate current value of the traffic egress network device of the metropolitan area network core router MB in the current period and the flow rate predicted value of the traffic egress network device of the metropolitan area network core router MB in the next period in the to-be-configured area.

[0047] It should be understood that the traffic egress network device is an important component of the metropolitan area network core router MB, which is a physical device responsible for transmitting network traffic from the local area network where the MB is located to other networks (such as a wide area network, the Internet, or other metropolitan area networks).

[0048] In this embodiment, the bandwidth configuration steps of the traffic egress network device of the metropolitan area network core router MB in each period for each to-be-configured area are the same, so the bandwidth configuration steps of the traffic egress network device of the metropolitan area network core router MB in one period for one to-be-configured area are taken as a representative for explanation and description.

[0049] Here, the period refers to a bandwidth configuration period, such as one year as a bandwidth configuration period or two years as a bandwidth configuration period, etc., which is not limited.

[0050] Specifically, the flow rate current value of the traffic egress network device of the metropolitan area network core router MB in the current period refers to the actual flow rate value of the traffic egress network device of the metropolitan area network core router MB measured in the current period. This value reflects the actual situation of the network traffic of the traffic egress network device of the metropolitan area network core router MB in the current period, and is the basis for predicting the traffic changes in the future period.

[0051] Specifically, the flow rate predicted value of the traffic egress network device of the metropolitan area network core router MB in the next period refers to the expected value of the flow rate of the traffic egress network device of the metropolitan area network core router MB in the next period, which is obtained by taking the flow rate current value of the traffic egress network device of the metropolitan area network core router MB in the current period as a basis value and through a certain prediction model (such as time series analysis, machine learning algorithm, etc.). The flow rate predicted value aims to capture the trend of network traffic changes in order to prepare and respond to possible traffic peaks in advance.

[0052] In this embodiment, the flow rate predicted value of the traffic egress network device of the metropolitan area network core router MB can be compared with the flow rate current value to calculate the corresponding flow rate growth coefficient. Preferably, the flow rate growth coefficient = flow rate predicted value / flow rate current value.

[0053] Step 120, determining a bandwidth growth coefficient of the traffic egress network device of the MB in the next period for the to-be-configured region according to the flow rate growth coefficient and a negative feedback correction coefficient of the traffic egress network device of the MB in the next period for the to-be-configured region, wherein the negative feedback correction coefficient is obtained based on a bandwidth utilization ratio of the traffic egress network device of the MB;

[0054] Here, the negative feedback correction coefficient is a key adjustment factor, which is calculated based on the bandwidth utilization ratio of the traffic egress network device of the MB. The bandwidth utilization ratio refers to the proportion of network traffic to available bandwidth, which reflects the actual use of network resources.

[0055] In this embodiment, the bandwidth growth coefficient of the traffic egress network device of the MB in the next period can be calculated by comprehensively considering the flow rate growth coefficient and the negative feedback correction coefficient of the traffic egress network device of the MB in the next period for the to-be-configured region.

[0056] Preferably, the bandwidth growth coefficient can be calculated by: bandwidth growth coefficient = flow rate growth coefficient x negative feedback correction coefficient.

[0057] It should be understood that the bandwidth growth needs to match the growth of the flow rate, so the bandwidth growth coefficient is positively correlated with the flow rate growth coefficient, and is adjusted by the negative feedback correction coefficient to make the bandwidth growth coefficient closer to the goal of resource balanced deployment optimization.

[0058] Step 130, obtaining a target bandwidth configuration value of the traffic egress network device of the MB in the next period for the to-be-configured region according to the bandwidth status value of the traffic egress network device of the MB in the current period for the to-be-configured region and the bandwidth growth coefficient.

[0059] Here, the bandwidth status value of the traffic egress network device of the MB in the current period refers to the actual allocated bandwidth amount of the traffic egress network device of the MB in the current period. This value reflects the carrying capacity and resource utilization of the traffic egress network device of the MB in the current period.

[0060] As described above, the bandwidth growth coefficient is a value calculated based on the flow rate growth coefficient and the negative feedback correction coefficient, which represents the proportion or multiple of the current bandwidth that needs to be increased in order to adapt to the expected network traffic growth in the next period.

[0061] Specifically, in this embodiment, the target bandwidth configuration value of the traffic egress network device of the MB that needs to be configured in the next period in order to maintain network performance and user experience can be obtained according to the multiplication result of the bandwidth status value and the bandwidth growth coefficient.

[0062] The method for configuring bandwidth of a bearer network provided in the embodiments of the present application effectively determines the flow rate growth coefficient and the bandwidth growth coefficient of the flow export network device of the metropolitan area network core router MB in the next period by comprehensively considering the current period flow rate present value and the next period flow rate prediction value, and combining the negative feedback correction mechanism based on bandwidth utilization. Then, the target bandwidth configuration value of the flow export network device of the MB in the next period is obtained by combining the current period bandwidth present value. In this way, the network flow change can be dynamically adapted, the reasonable allocation and efficient utilization of network resources can be ensured, the network stability and response speed can be improved, and strong guarantee can be provided for the continuity and expansibility of services.

[0063] It should be noted that each embodiment of the present application can be freely combined, the order can be changed or executed alone, and does not need to rely on or depend on a fixed execution order.

[0064] In some embodiments, the flow export network device includes an uplink export network device, the uplink export network device includes a backbone layer router BC and a provincial network core router PB, and the method further includes:

[0065] Based on the fixed network service flow distribution data of the MB of the region to be configured in the current period, the first flow direction proportion of the fixed network service flow of the MB of the region to be configured flowing to the BC and the second flow direction proportion of the fixed network service flow of the MB of the region to be configured flowing to the PB are determined;

[0066] Based on the mobile network service flow distribution data of the MB of the region to be configured in the current period, the third flow direction proportion of the mobile network service flow of the MB of the region to be configured flowing to the BC and the fourth flow direction proportion of the mobile network service flow of the MB of the region to be configured flowing to the PB are determined;

[0067] According to the flow rate prediction value of the fixed network service of the MB of the region to be configured in the next period and the first flow direction proportion, and the flow rate prediction value of the mobile network service of the MB of the region to be configured in the next period and the third flow direction proportion, the flow rate prediction value of the BC of the region to be configured in the next period is determined;

[0068] According to the flow rate prediction value of the fixed network service of the MB of the region to be configured in the next period and the second flow direction proportion, and the flow rate prediction value of the mobile network service of the MB of the region to be configured in the next period and the fourth flow direction proportion, the flow rate prediction value of the PB of the region to be configured in the next period is determined.

[0069] Here, the uplink export network device refers to a network device directly connected with the metropolitan area network core router MB and responsible for transmitting flow to a higher level network (such as a provincial network or a backbone network), and in the embodiments, the uplink export network device includes a PB (Province Backbone, provincial network convergence router) and a BC (Backbone Converge, backbone layer router of a backbone network).

[0070] Reference Figure 2 With the wide deployment of 5G user plane function (UPF) and the rapid expansion of 4 / 5G converged network elements, the transmission mode of network traffic is undergoing a profound transformation, i.e., network traffic is gradually sinking from provincial or higher level network devices (such as PB and BC) to local network nodes (such as metropolitan area network core routers MB at the prefecture or province level). Given the implementation of the traffic sinking strategy, more traffic is directed to MB for processing. Therefore, in order to optimize the network architecture and improve the network transmission efficiency, the construction and management of the bandwidth of the upper link export network device (i.e., the backbone layer router BC and the provincial network core router PB) of the MB are also crucial.

[0071] It should be understood that fixed network services refer to network services provided through wired connections (such as optical fiber, cable), such as home broadband (including business broadband), Internet TV, Internet leased line (such as enterprise leased line), etc. Mobile network services refer to network services provided through wireless connections, such as 4G, 5G, etc.

[0072] Here, the fixed network traffic distribution data of the MB in the current period in the region to be configured refers to the collection of fixed network traffic data in the current period from the MB in the region to be configured. These data usually include the traffic size, flow direction and time distribution of different fixed network service types (such as home broadband customers, group customers, etc.).

[0073] Here, the mobile network traffic data mainly comes from various nodes in the mobile network, including base stations, mobile switching centers, data centers, etc. At the MB in the region to be configured, mobile network traffic data in the current period through the node in the region to be configured can be collected, which contains various key information of mobile network traffic, such as traffic size, time distribution, service type (such as video, voice, data, etc.).

[0074] Specifically, in this embodiment, the fixed network traffic distribution data of the MB in the current period is analyzed in depth, especially the traffic part flowing to BC and PB. Through the analysis, it can be determined that in the current period, what proportion of the fixed network traffic of the MB is flowing to BC, i.e., the first flow proportion, and what proportion of the fixed network traffic of the MB is flowing to PB, i.e., the second flow proportion. Here, the calculation of the first flow proportion is usually obtained by dividing the traffic size flowing to BC by the total fixed network traffic of the MB, and the calculation of the second flow proportion is usually obtained by dividing the traffic size flowing to PB by the total fixed network traffic of the MB.

[0075] Similarly, the mobile network service traffic distribution data of the MB in the current period is analyzed in depth, and the traffic part flowing to the BC and the PB is particularly focused on. Through the analysis, it can be determined that in the mobile network service traffic of the MB in the current period, what proportion is the traffic flowing to the BC, i.e., the third flow direction proportion, and what proportion is the traffic flowing to the PB, i.e., the fourth flow direction proportion.

[0076] Then, the flow rate of each uplink egress network device of the MB is quantitatively split in combination with the flow direction proportion of the operation and maintenance statistics. Specifically, the first flow direction proportion and the mobile network service flow rate prediction value of the MB in the next period of the to-be-configured area are used for weighted summation operation to obtain the flow rate prediction value of the BC in the next period of the to-be-configured area.

[0077] Similarly, the second flow direction proportion and the mobile network service flow rate prediction value of the MB in the next period of the to-be-configured area are used for weighted summation operation to obtain the flow rate prediction value of the PC in the next period of the to-be-configured area.

[0078] Here, the mobile network service flow rate prediction value and the fixed network service flow rate prediction value of the MB in the next period of the to-be-configured area can be obtained according to historical data, network development trend, user behavior mode and other factors, and the present application is not limited thereto.

[0079] The bearer network bandwidth configuration method provided by the embodiment of the present application predicts the traffic data in the next period by using the traffic distribution data in the current period, and performs network configuration according to the prediction. By predicting the flow rates of the BC and the PB, it can be ensured that the network resources are reasonably allocated to meet the future service demand.

[0080] In some embodiments, the traffic egress network device includes a downlink egress network device, and the downlink egress network device includes a broadband access server (BRAS). The method further includes:

[0081] Based on the fixed network service traffic distribution data of the MB in the current period of the to-be-configured area, a fifth flow direction proportion of the fixed network service traffic of the MB of the to-be-configured area flowing to the BRAS is determined.

[0082] According to the flow rate prediction value of the fixed network service of the MB in the next period of the to-be-configured area and the fifth flow direction proportion, a flow rate prediction value of the BRAS in the next period of the to-be-configured area is determined.

[0083] Continuing to refer to Figure 2In the metropolitan area network architecture, the MB is a core device, and the BRAS (Broadband Remote Access Server) is connected to the MB. The BRAS plays an important role in the metropolitan area network, and is responsible for processing the broadband access service of the user. The peak flow rate (i.e., the maximum flow rate reached in a certain period of time) of the MB is greatly affected by the peak downstream flow rate of the BRAS connected to the MB. Therefore, reasonable configuration of the BRAS bandwidth is also very important.

[0084] It should be understood that the BRAS is only related to the fixed network service flow, and therefore, in the embodiment, only the fixed network service flow distribution data of the MB (metropolitan area network core router) in the current period in the region to be configured is collected. The data usually includes the flow size in each direction flowing out of the MB, time distribution and other information.

[0085] Next, the fixed network service flow distribution data is analyzed in depth, and in particular, the flow part flowing to the BRAS is focused on. Through the analysis, it can be determined that in the current period, what proportion of the fixed network service flow of the MB is flowing to the BRAS, i.e., the fifth flow proportion. Here, the calculation of the fifth flow proportion is usually obtained by dividing the flow size flowing to the BRAS by the total fixed network service flow of the MB. The proportion reflects the proportion of the BRAS in the fixed network service flow of the MB in the current period.

[0086] Finally, the flow rate prediction value of the MB of the region to be configured in the next period is multiplied by the fifth flow proportion, i.e., the flow rate prediction value of the BRAS of the region to be configured in the next period is obtained.

[0087] The bearer network bandwidth configuration method proposed in the embodiment can accurately predict the flow rate of the BRAS, so that the BRAS device has sufficient bandwidth to process the expected flow load, and the network resources are reasonably allocated to meet the future service demand.

[0088] In some embodiments, the method further comprises:

[0089] determining a first single-user flow rate prediction value of the fixed network service of the region to be configured in the next period based on the first single-user flow rate value of the fixed network service of the region to be configured in the current period;

[0090] determining a second single-user flow rate prediction value of the mobile network service of the region to be configured in the next period based on the second single-user flow rate value of the mobile network service of the region to be configured in the current period;

[0091] determining the number of fixed network service users and the number of mobile network service users of the region to be configured in the current period;

[0092] According to the first single-user flow rate prediction value and the number of fixed network service users in the current period in the region to be configured, a flow rate prediction value of the fixed network service of the MB in the next period in the region to be configured is obtained;

[0093] According to the second single-user flow rate prediction value and the number of mobile network service users in the current period in the region to be configured, a flow rate prediction value of the mobile network service of the MB in the next period in the region to be configured is obtained.

[0094] In this embodiment, based on the first single-user flow rate value of the fixed network service in the current period in the region to be configured (i.e., the average flow rate data used by each fixed network user), a statistical method or a machine learning model is used to predict the first single-user flow rate prediction value of the fixed network service in the next period in the region.

[0095] Similarly, based on the second single-user flow rate value of the mobile network service in the current period in the region to be configured (i.e., the average flow rate data used by each mobile network user), the second single-user flow rate prediction value of the mobile network service in the next period in the region is predicted.

[0096] Next, the number of users using the fixed network service in the current period in the region to be configured and the number of users using the mobile network service in the current period in the region to be configured are counted.

[0097] Finally, according to the predicted first single-user flow rate and the number of fixed network service users in the current period, the total flow rate prediction value of the fixed network service of the MB in the next period in the region to be configured is calculated. This value is obtained by multiplying the predicted single-user flow rate by the number of users, and it reflects the total flow rate data of the fixed network service that the MB may need to handle in the next period.

[0098] Similarly, according to the predicted second single-user flow rate and the number of mobile network service users in the current period, the total flow rate prediction value of the mobile network service of the MB in the next period in the region to be configured is calculated. This value is obtained by multiplying the predicted single-user flow rate by the number of users, and it reflects the total flow rate data of the mobile network service that the MB may need to handle in the next period.

[0099] For ease of understanding, in this embodiment, the fixed network service includes home broadband, Internet TV, and dedicated line, and the flow rate data of the MB in the current planning period in each state is used to predict the flow rate of the fixed network service in multiple future planning periods:

[0100] Wherein, the number of home broadband (including business broadband) users in the present planning period is sorted by province 1~M, and is counted as array A=[A1, A2, …, AM], the number of Internet TV users in the present planning period is sorted by province 1~M, and is counted as array B=[B1, B2, …, BM], the number of Internet dedicated line users in the present planning period is sorted by province 1~M, and is counted as array C=[C1, C2, …, CM].

[0101] For the single user flow rate value of the home broadband service, the single user flow rate value of the present planning period is a1, and according to the single user flow rate value of the present planning period, the single user flow rate value of the present planning period is taken as historical sample data, combined with time series trend extrapolation prediction analysis, the single user flow rate prediction value of the next three planning periods can be predicted, which are a2, a3 and a4 respectively.

[0102] For the single user flow rate value of the Internet TV service, the single user flow rate value of the present planning period is b1, and through historical statistical data analysis, it can be known that the single user flow rate value of the Internet TV service is relatively fixed, so the single user flow rate prediction value of the next three planning periods can be predicted, which are b2, b3 and b4 respectively, wherein b2, b3 and b4 can be equal to b1.

[0103] Similarly, for the single user flow rate value of the dedicated line service, the single user flow rate value of the present planning period is c1, and through historical statistical data analysis, it can be known that the single user flow rate value of the dedicated line service is relatively fixed, so the single user flow rate prediction value of the next three planning periods can be predicted, which are c2, c3 and c4 respectively, wherein c2, c3 and c4 can be equal to c1.

[0104] Then the fixed network service flow rate value S1 of each province in each planning week is [A1, A2, …, AM]×[a1, a2, a3, a4]+[A1, A2, …, AM]×[b1, b2, b3, b4]+[A1, A2, …, AM]×[c1, c2, c3, c4]+[A1, A2, …, AM]×[c1, c2, c3, c4].

[0105] The bearer network bandwidth configuration method provided by the embodiment of the application can predict the single user flow rate prediction value in the next period by analyzing the single user flow rate value in the current period, calculate the number of users, accurately predict the flow rate prediction value in the next period of the region to be configured, and provide data support for network resource configuration and optimization.

[0106] In some embodiments, the target bandwidth configuration value of the MB traffic egress network device in the next period is obtained according to the bandwidth status value of the MB traffic egress network device in the current period and the bandwidth growth coefficient of the region to be configured, comprising:

[0107] linearly calculating according to the bandwidth status value of the MB traffic egress network device in the current period and the bandwidth growth coefficient of the region to be configured to obtain an initial bandwidth configuration value of the MB traffic egress network device in the next period;

[0108] determining the minimum bandwidth unit that the MB traffic egress network device can configure;

[0109] performing even number processing on the initial bandwidth configuration value according to the minimum bandwidth unit that the MB traffic egress network device can configure to obtain the target bandwidth configuration value of the MB traffic egress network device in the next period.

[0110] Here, linear calculation means increasing or decreasing the value according to a fixed ratio or increment.

[0111] First, linearly calculate the bandwidth status value of the current period and the bandwidth growth coefficient, that is, multiply the bandwidth growth coefficient by the bandwidth status value to obtain a preliminary and predicted bandwidth configuration value, that is, the initial bandwidth configuration value. The initial bandwidth configuration value represents the expected bandwidth level in order to meet future demand without considering other limiting conditions.

[0112] It should be noted that when configuring the bandwidth of the network device, it is not configured with an arbitrary value, but with a fixed step or unit, such as only increasing or decreasing 10 Mbps, 100 Mbps, etc. Therefore, the minimum bandwidth unit that the MB traffic egress network device can configure also needs to be further determined in this embodiment. This minimum bandwidth unit is the basis for subsequent bandwidth configuration adjustment.

[0113] Finally, based on the minimum bandwidth unit determined above, the initial bandwidth configuration value is processed to be an even number of integer multiples of the minimum bandwidth unit. In other words, the final target bandwidth configuration value must be an even multiple of the minimum bandwidth unit, ensuring that the final bandwidth configuration value meets both the actual demand prediction and the network device configuration rule.

[0114] For ease of understanding, the traffic egress network device is taken as PB (BC) and BRAS as representatives for explanation and description.

[0115] It should be understood that the PB(BC) is the uplink export network device of the MB, and the bandwidth configuration is at least a hundred G link, and the BRAS is the downlink export network device of the MB, and the bandwidth configuration is at least a ten G link. The target configuration value of the PB(BC) can be calculated using Roundup(β×θ / 200, 0)×200. Here, β represents the bandwidth growth coefficient of the PB(BC), and θ represents the current bandwidth value of the PB(BC), so as to ensure that the final target bandwidth configuration value of the PB(BC) is an integer multiple of 100G, and meets the rules of the even processing. Similarly, the target configuration value of the BRAS can be calculated using Roundup(α×π / 20, 0)×20. Here, α represents the bandwidth growth coefficient of the BRAS, and π represents the current bandwidth value of the BRAS, so as to ensure that the final target bandwidth configuration value of the BRAS is an integer multiple of 10G, and meets the rules of the even processing.

[0116] The bandwidth configuration method of the bearer network provided in the embodiment of the application first performs linear calculation on the current bandwidth value and the bandwidth growth coefficient of the traffic export network device of the MB to obtain an initial bandwidth configuration value, then determines the minimum bandwidth unit that can be configured for the traffic export network device of the MB, and finally performs even processing on the bandwidth configuration value according to the minimum bandwidth unit, so as to obtain a target bandwidth configuration value that meets the actual demand prediction and the network device configuration rules.

[0117] In some embodiments, the negative feedback correction coefficient of the traffic export network device of the MB in the next period in the region to be configured is obtained in the following manner:

[0118] The current bandwidth utilization value of the traffic export network device of the MB in the region to be configured is determined.

[0119] The target bandwidth utilization value of the traffic export network device of the MB in the region to be configured in the next period is determined.

[0120] According to the current bandwidth utilization value and the target bandwidth utilization value, the negative feedback correction coefficient of the traffic export network device of the MB in the region to be configured in the next period is determined.

[0121] Here, the bandwidth utilization refers to the ratio of the actual used bandwidth to the total available bandwidth, and this value reflects the bandwidth use efficiency of the current network device.

[0122] First, the bandwidth utilization status value of the traffic egress network device of the MB in the current period of the region to be configured is evaluated. Network usage data is collected through a network management system, including network traffic peaks in the busiest day of the month (monthly busy day) and the busiest time period of the day (daily busy time). Statistical analysis is performed on these peak data to calculate the average bandwidth utilization status value, which reflects the bandwidth usage of the traffic egress network device of the MB in the current period.

[0123] Next, the bandwidth utilization target value of the traffic egress network device of the MB in the next period of the region to be configured is set. This target value can be determined based on factors such as business needs, network planning, cost-benefit analysis, etc., aiming to achieve efficient use and balance of network resources. For example, the network bandwidth utilization of other configured regions is compared, i.e., horizontal benchmarking, and based on the results of horizontal benchmarking, a moderate target utilization value is selected.

[0124] Finally, the current bandwidth utilization status value is compared with the determined bandwidth utilization target value, specifically, the negative feedback correction coefficient = bandwidth utilization status value of the traffic egress network device of the MB / bandwidth utilization target value of the traffic egress network device of the MB.

[0125] The bearer network bandwidth configuration method proposed in the embodiment of the application determines the negative feedback correction coefficient of the traffic egress network device of the MB based on the bandwidth utilization status value and the bandwidth utilization target value of the traffic egress network device of the MB, and thus introduces the negative feedback correction coefficient for tuning and correction, achieving the balancing effect of low rise and high drop.

[0126] The embodiment of the application also provides a bearer network bandwidth configuration device, which will be described below. The bearer network bandwidth configuration device described below can be correspondingly referred to the bearer network bandwidth configuration method described above.

[0127] Reference Figure 3 In this embodiment, the bearer network bandwidth configuration device comprises:

[0128] The first bandwidth configuration module 310 is configured to determine the flow rate growth coefficient of the traffic egress network device of the MB in the next period of the region to be configured based on the flow rate status value of the traffic egress network device of the metropolitan area network core router MB in the current period of the region to be configured and the flow rate prediction value of the traffic egress network device of the MB in the next period of the region to be configured.

[0129] The second bandwidth configuration module 320 is configured to determine a bandwidth growth coefficient of the traffic egress network device of the MB in the next period according to the flow rate growth coefficient and a negative feedback correction coefficient of the traffic egress network device of the MB in the next period in the region to be configured, wherein the negative feedback correction coefficient is obtained based on a bandwidth utilization rate of the traffic egress network device of the MB.

[0130] The third bandwidth configuration module 330 is configured to obtain a target bandwidth configuration value of the traffic egress network device of the MB in the next period in the region to be configured according to the bandwidth status value of the traffic egress network device of the MB in the current period in the region to be configured and the bandwidth growth coefficient.

[0131] The bearing network bandwidth configuration device provided by the embodiment of the application can calculate the flow rate growth coefficient according to the flow rate status value of the traffic egress network device of the MB in the current period and the flow rate prediction value of the traffic egress network device of the MB in the next period, proactively identify the change trend of network traffic, and thus make good planning and adjustment of bandwidth resources in advance; then, the bandwidth growth coefficient is dynamically adjusted in combination with the flow rate growth coefficient and the negative feedback correction coefficient of the traffic egress network device of the MB in the next period, so as to ensure the flexibility and accuracy of resource configuration; finally, the bandwidth allocation of the traffic egress network device of the MB in the next period is dynamically adjusted according to the target bandwidth configuration value determined according to the bandwidth growth coefficient of the traffic egress network device of the MB in the next period and the bandwidth status value of the traffic egress network device of the MB in the current period, so as to optimize the bandwidth utilization rate, improve the stability and efficiency of network services, realize balanced resource configuration, and effectively cope with the growth and change of service flow rate.

[0132] Figure 4 An example of an entity structure diagram of an electronic device is shown in Figure 4 The electronic device can include a processor 410, a communications interface 420, a memory 430, and a communications bus 440, wherein the processor 410, the communications interface 420, and the memory 430 can communicate with each other through the communications bus 440. The processor 410 can invoke a logical instruction in the memory 430 to execute a bearing network bandwidth configuration method, which includes:

[0133] According to the flow rate status value of the traffic egress network device of the metropolitan area network core router MB in the current period in the region to be configured and the flow rate prediction value of the traffic egress network device of the MB in the next period in the region to be configured, the flow rate growth coefficient of the traffic egress network device of the MB in the next period in the region to be configured is determined;

[0134] determining a bandwidth growth coefficient of the traffic egress network device of the MB in the next period according to the flow rate growth coefficient and a negative feedback correction coefficient of the traffic egress network device of the MB in the next period, wherein the negative feedback correction coefficient is obtained based on a bandwidth utilization ratio of the traffic egress network device of the MB;

[0135] obtaining a target bandwidth configuration value of the traffic egress network device of the MB in the next period according to the bandwidth current value of the traffic egress network device of the MB in the current period and the bandwidth growth coefficient.

[0136] In addition, the logic instructions in the memory 430 described above can be implemented in the form of a software function unit and sold or used as an independent product, and can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0137] On the other hand, the present application also provides a computer program product, which comprises a computer program, the computer program can be stored on a non-transitory computer readable storage medium, and the computer program can be executed by a processor to enable a computer to execute the bearer network bandwidth configuration method provided by the above-mentioned method, and the method comprises:

[0138] determining a flow rate growth coefficient of the traffic egress network device of the MB in the next period according to the flow rate current value of the traffic egress network device of the MB in the current period and the flow rate prediction value of the traffic egress network device of the MB in the next period;

[0139] determining a bandwidth growth coefficient of the traffic egress network device of the MB in the next period according to the flow rate growth coefficient and a negative feedback correction coefficient of the traffic egress network device of the MB in the next period, wherein the negative feedback correction coefficient is obtained based on a bandwidth utilization ratio of the traffic egress network device of the MB;

[0140] According to the bandwidth current value of the MB traffic egress network device of the to-be-configured area in the current period and the bandwidth growth coefficient, a target bandwidth configuration value of the MB traffic egress network device of the to-be-configured area in the next period is obtained.

[0141] In another aspect, the application further provides a non-transitory computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the bearer network bandwidth configuration method provided by the above method, and the method comprises the following steps of:

[0142] According to the flow rate current value of the MB traffic egress network device of the metropolitan area network core router in the current period and the flow rate prediction value of the MB traffic egress network device in the next period, a flow rate growth coefficient of the MB traffic egress network device of the to-be-configured area in the next period is determined.

[0143] According to the flow rate growth coefficient and a negative feedback correction coefficient of the MB traffic egress network device of the to-be-configured area in the next period, a bandwidth growth coefficient of the MB traffic egress network device of the to-be-configured area in the next period is determined, wherein the negative feedback correction coefficient is obtained based on the bandwidth utilization rate of the MB traffic egress network device.

[0144] According to the bandwidth current value of the MB traffic egress network device of the to-be-configured area in the current period and the bandwidth growth coefficient, a target bandwidth configuration value of the MB traffic egress network device of the to-be-configured area in the next period is obtained.

[0145] The device embodiments described above are only schematic, wherein the units shown as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., may be located in one place or distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the embodiment. Those skilled in the art can understand and implement without creative labor.

[0146] From the above description of the embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software plus necessary general hardware platforms, and of course can also be realized by hardware. Based on such understanding, the above technical solutions, essentially or in terms of the contribution to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment or some parts of the embodiments.

[0147] It should be pointed out finally that the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit the same; and although the present application has been described in detail with reference to the foregoing embodiments, it should be appreciated by those skilled in the art that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features thereof can be replaced equivalently; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for bearer network bandwidth configuration, the method comprising: The method comprises: determining a flow rate growth coefficient of the traffic egress network device of the metropolitan area network core router MB of the to-be-configured area in the next period according to a flow rate current value of the traffic egress network device of the MB in the current period and a flow rate predicted value of the traffic egress network device of the MB in the next period of the to-be-configured area; determining a bandwidth growth coefficient of the traffic egress network device of the MB of the to-be-configured area in the next period according to the flow rate growth coefficient and a negative feedback correction coefficient of the traffic egress network device of the MB in the next period of the to-be-configured area, wherein the negative feedback correction coefficient is obtained based on a bandwidth utilization rate of the traffic egress network device of the MB; obtaining a target bandwidth configuration value of the traffic egress network device of the MB of the to-be-configured area in the next period according to a bandwidth current value of the traffic egress network device of the MB in the current period of the to-be-configured area and the bandwidth growth coefficient; wherein the negative feedback correction coefficient of the traffic egress network device of the MB of the to-be-configured area in the next period is obtained by: determining a bandwidth utilization rate current value of the traffic egress network device of the MB in the current period of the to-be-configured area; determining a bandwidth utilization rate target value of the traffic egress network device of the MB in the next period of the to-be-configured area; determining the negative feedback correction coefficient of the traffic egress network device of the MB in the next period of the to-be-configured area according to the bandwidth utilization rate current value and the bandwidth utilization rate target value.

2. The method of claim 1, wherein, The traffic egress network device comprises an uplink egress network device, the uplink egress network device comprises a backbone layer router BC and a provincial network core router PB, and the method further comprises: determining a first flow direction proportion of the fixed network service traffic of the MB of the to-be-configured area flowing to the BC and a second flow direction proportion of the fixed network service traffic of the MB of the to-be-configured area flowing to the PB based on fixed network service traffic distribution data of the MB of the to-be-configured area in the current period; determining a third flow direction proportion of the mobile network service traffic of the MB of the to-be-configured area flowing to the BC and a fourth flow direction proportion of the mobile network service traffic of the MB of the to-be-configured area flowing to the PB based on mobile network service traffic distribution data of the MB of the to-be-configured area in the current period; determining a flow rate predicted value of the BC in the next period of the to-be-configured area according to a flow rate predicted value of the fixed network service of the MB in the next period of the to-be-configured area and the first flow direction proportion, and a flow rate predicted value of the mobile network service of the MB in the next period of the to-be-configured area and the third flow direction proportion; determining a flow rate predicted value of the PB in the next period of the to-be-configured area according to a flow rate predicted value of the fixed network service of the MB in the next period of the to-be-configured area and the second flow direction proportion, and a flow rate predicted value of the mobile network service of the MB in the next period of the to-be-configured area and the fourth flow direction proportion.

3. The method of claim 1, wherein, The traffic egress network device comprises a downlink egress network device, the downlink egress network device comprises a broadband access server BRAS, and the method further comprises: determining a fifth flow direction proportion of the fixed network service traffic of the MB of the to-be-configured area flowing to the BRAS based on fixed network service traffic distribution data of the MB of the to-be-configured area in the current period; According to the flow rate prediction value of the fixed network service of the MB in the next period and the fifth flow direction ratio, a flow rate prediction value of the BRAS in the next period is determined.

4. The method of claim 2 or 3, wherein, The method further comprises: determining a first single-user flow rate prediction value of the fixed network service of the to-be-configured region in the next period based on a first single-user flow rate value of the fixed network service of the to-be-configured region in the current period; determining a second single-user flow rate prediction value of the mobile network service of the to-be-configured region in the next period based on a second single-user flow rate value of the mobile network service of the to-be-configured region in the current period; determining the number of users of the fixed network service and the number of users of the mobile network service of the to-be-configured region in the current period; obtaining a flow rate prediction value of the fixed network service of the MB in the next period according to the first single-user flow rate prediction value and the number of users of the fixed network service of the to-be-configured region in the current period; obtaining a flow rate prediction value of the mobile network service of the MB in the next period according to the second single-user flow rate prediction value and the number of users of the mobile network service of the to-be-configured region in the current period.

5. The method of claim 1, wherein, The target bandwidth configuration value of the traffic egress network device of the MB in the next period is obtained according to the bandwidth status value of the traffic egress network device of the MB in the current period and the bandwidth growth coefficient, and comprises: linearly calculating the initial bandwidth configuration value of the traffic egress network device of the MB in the next period according to the bandwidth status value of the traffic egress network device of the MB in the current period and the bandwidth growth coefficient; determining the minimum bandwidth unit that the traffic egress network device of the MB can configure; performing even processing on the initial bandwidth configuration value according to the minimum bandwidth unit that the traffic egress network device of the MB can configure, to obtain the target bandwidth configuration value of the traffic egress network device of the MB in the next period.

6. A bearer network bandwidth configuration apparatus, characterized by: comprises: a first bandwidth configuration module configured to determine a flow rate growth coefficient of the traffic egress network device of the MB in the next period according to a flow rate status value of the traffic egress network device of the metropolitan area network core router MB in the current period and a flow rate prediction value of the traffic egress network device of the MB in the next period; a second bandwidth configuration module configured to determine a bandwidth growth coefficient of the traffic egress network device of the MB in the next period according to the flow rate growth coefficient and a negative feedback correction coefficient of the traffic egress network device of the MB in the next period, wherein the negative feedback correction coefficient is obtained based on a bandwidth utilization rate of the traffic egress network device of the MB; a third bandwidth configuration module configured to obtain a target bandwidth configuration value of the traffic egress network device of the MB in the next period according to a bandwidth status value of the traffic egress network device of the MB in the current period and the bandwidth growth coefficient; wherein the negative feedback correction coefficient of the traffic egress network device of the MB in the next period is obtained by: determining a bandwidth utilization rate status value of the traffic egress network device of the MB in the current period; determining a target value of bandwidth utilization of the traffic egress network device of the MB in the next period for the region to be configured; determining a negative feedback correction coefficient of the traffic egress network device of the MB in the next period for the region to be configured according to the current value of bandwidth utilization and the target value of bandwidth utilization.

7. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor implements the method for configuring bandwidth of a bearer network according to any one of claims 1 to 5 when executing the program.

8. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the method for configuring bandwidth of a bearer network according to any one of claims 1 to 5.

9. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to implement the method for configuring bandwidth of a bearer network according to any one of claims 1 to 5.

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