Bearer network bandwidth configuration method, device, equipment, storage medium and product

Abstract

The invention provides a bearer network bandwidth configuration method and device, equipment, a storage medium and a product, and the method comprises the steps: according to a flow velocity current value of a flow exit network device of a metropolitan area network core router MB in a current period and a flow velocity prediction value of the flow exit network device of the MB in a next period in a to-be-configured region, carrying out bandwidth configuration according to the flow velocity current value of the flow exit network device of the MB in the to-be-configured region; determining a flow rate increasing coefficient of the flow outlet network equipment of the MB in the next period of the to-be-configured area; according to the flow rate increasing coefficient and a negative feedback correction coefficient of the flow outlet network equipment of the MB in the next period, determining a bandwidth increasing coefficient of the flow outlet network equipment of the MB in the to-be-configured area in the next period; and obtaining a target bandwidth configuration value of the traffic exit network equipment of the MB in the next period of the to-be-configured area according to the bandwidth current situation value and the bandwidth increase coefficient of the traffic exit network equipment of the MB in the current period of the to-be-configured area. The flexibility and accuracy of resource configuration are realized, and the increase and change of the service flow rate are effectively coped with.

Description

Technical Field

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

[0002] Metropolis Backbone Route (MB) is a key device for data communication within the city. It is located at the core of the metropolitan area network and is responsible for forwarding and processing data traffic from different subnets and users at high speed and high efficiency. As the core network element that connects all user traffic, the metropolitan area network core router is responsible for aggregating and forwarding traffic from different users and different business types. Therefore, the configuration of its bearer network bandwidth resources is directly related to the overall performance of the network and user experience.

[0003] The existing bearer network bandwidth resource configuration method of the core router of the metropolitan area network mainly relies on the business development data survey of the network management center and various cities, lacking the rationality analysis of the overall data. The bandwidth configuration is different due to the different estimates of various cities, resulting in uneven bandwidth utilization and different busy and idle times after the actual bandwidth expansion construction. This not only affects the overall performance and user experience of the network, but may also lead to waste of resources and bottlenecks. Therefore, it is urgent to develop a more intelligent and dynamic bandwidth resource configuration method to better adapt to the changes in business flow rate, improve bandwidth utilization, and achieve balanced resource configuration. Summary of the invention

[0004] The present invention provides a bearer network bandwidth configuration method, device, equipment, storage medium and product, which are used to solve the defects existing in the prior art.

[0005] The present invention provides a bearer network bandwidth configuration method, comprising: Determine the flow rate growth coefficient of the flow rate network device of the metropolitan area network core router MB in the next cycle of the area to be configured according to the current flow rate value of the flow rate of the network device of the flow rate of the metropolitan area network core router MB in the current cycle of the area to be configured and the predicted flow rate value of the flow rate of the network device of the flow rate of the MB in the next cycle of the area to be configured; Determine the bandwidth growth coefficient of the traffic outlet network device of the MB in the next cycle of the area to be configured according to the flow rate growth coefficient and the negative feedback correction coefficient of the traffic outlet network device of the MB in the next cycle, wherein the negative feedback correction coefficient is obtained based on the bandwidth utilization rate of the traffic outlet network device of the MB; According to the bandwidth status value of the traffic outlet network device of MB in the area to be configured in the current cycle and the bandwidth growth coefficient, the target bandwidth configuration value of the traffic outlet network device of MB in the area to be configured in the next cycle is obtained.

[0006] According to a bearer network bandwidth configuration method provided by the present invention, the traffic egress network device includes an uplink egress network device, the uplink egress network device includes a backbone router BC and a provincial network core router PB, and the method further includes: Based on the fixed network service traffic distribution data of the MB in the area to be configured in the current period, determine the first flow ratio of the fixed network service traffic of the MB in the area to be configured flowing to BC and the second flow ratio of PB respectively; Based on the mobile network service traffic distribution data of the MB in the area to be configured in the current period, determine the third flow ratio of the mobile network service traffic of the MB in the area to be configured flowing to BC and the fourth flow ratio of PB respectively; Determine the predicted flow rate value of BC in the area to be configured in the next cycle according to the predicted flow rate value of the fixed network service of MB in the area to be configured in the next cycle and the ratio of the first flow direction, and the predicted flow rate value of the mobile network service of MB in the area to be configured in the next cycle and the ratio of the third flow direction; The predicted flow rate value of PB in the area to be configured in the next cycle is determined based on the predicted flow rate value of the fixed network service of MB in the area to be configured in the next cycle and the ratio of the second flow direction, as well as the predicted flow rate value of the mobile network service of MB in the area to be configured in the next cycle and the ratio of the fourth flow direction.

[0007] According to a bearer network bandwidth configuration method provided by the present invention, the traffic egress network device includes a downlink egress network device, the downlink egress network device includes a broadband access server BRAS, and the method further includes: Determine the fifth flow direction ratio of the fixed network service traffic of the MBs in the area to be configured to the BRAS based on the fixed network service traffic distribution data of the MBs in the area to be configured in the current period; The predicted flow rate value of the BRAS in the area to be configured in the next period is determined according to the predicted flow rate value of the fixed network service of the MB in the area to be configured in the next period and the fifth flow direction ratio.

[0008] According to a bearer network bandwidth configuration method provided by the present invention, the method further includes: Determine a predicted value of the first single-user flow rate of the fixed network service in the area to be configured in the next cycle based on the first single-user flow rate value of the fixed network service in the area to be configured in the current cycle; Determine a predicted second single-user flow rate value of the mobile network service in the area to be configured in the next cycle based on the second single-user flow rate value of the mobile network service in the area to be configured in the current cycle; Determine the number of fixed network service users and mobile network service users in the area to be configured in the current period; According to the first single-user flow rate prediction value and the number of fixed network service users in the area to be configured in the current cycle, obtaining a flow rate prediction value of the fixed network service of the MB in the area to be configured in the next cycle; According to the second single-user flow rate prediction value and the number of mobile network service users in the area to be configured in the current cycle, the flow rate prediction value of the mobile network service of the MB in the area to be configured in the next cycle is obtained.

[0009] According to a bearer network bandwidth configuration method provided by the present invention, the target bandwidth configuration value of the traffic egress network device of the area to be configured in the next cycle is obtained according to the bandwidth status value of the traffic egress network device of the area to be configured in the current cycle and the bandwidth growth coefficient, including: Perform linear calculation based on the bandwidth status value of the traffic egress network device of the area to be configured in the current cycle and the bandwidth growth coefficient to obtain the initial bandwidth configuration value of the traffic egress network device of the area to be configured in the next cycle; Determine the minimum bandwidth unit that can be configured for MB traffic egress network devices; The initial bandwidth configuration value is evened according to the minimum bandwidth unit configurable 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 in the next cycle for the area to be configured.

[0010] According to a bearer network bandwidth configuration method provided by the present invention, the negative feedback correction coefficient of the traffic egress network device of the MB in the area to be configured in the next cycle is obtained in the following manner: Determine the current value of bandwidth utilization of the traffic egress network device of the MB in the area to be configured in the current period; Determine the target value of bandwidth utilization of the traffic egress network device of the MB in the area to be configured in the next cycle; According to the bandwidth utilization status value and the bandwidth utilization target value, a negative feedback correction coefficient of the traffic outlet network device of the MB in the area to be configured in the next cycle is determined.

[0011] The present invention also provides a bearer network bandwidth configuration device, comprising: The first bandwidth configuration module is used to determine the flow rate growth coefficient of the flow rate network device of the metropolitan area network core router MB in the area to be configured in the next cycle according to the flow rate status value of the flow rate of the flow rate network device of the metropolitan area network core router MB in the area to be configured in the current cycle and the flow rate prediction value of the flow rate of the flow rate network device of the MB in the area to be configured in the next cycle; The second bandwidth configuration module is used to determine the bandwidth growth coefficient of the traffic outlet network device of the MB in the area to be configured in the next cycle according to the flow rate growth coefficient and the negative feedback correction coefficient of the traffic outlet network device of the MB in the area to be configured in the next cycle, wherein the negative feedback correction coefficient is obtained based on the bandwidth utilization rate of the traffic outlet network device of the MB; The third bandwidth configuration module is used to obtain the target bandwidth configuration value of the traffic outlet network device MB in the area to be configured in the next cycle according to the bandwidth status value of the traffic outlet network device MB in the area to be configured in the current cycle and the bandwidth growth coefficient.

[0012] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, any of the above-mentioned bearer network bandwidth configuration methods is implemented.

[0013] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the bearer network bandwidth configuration method described in any one of the above is implemented.

[0014] The present invention also provides a computer program product, including a computer program, wherein when the computer program is executed by a processor, the bearer network bandwidth configuration method described in any one of the above is implemented.

[0015] The bearer network bandwidth configuration method, device, equipment, storage medium and product provided by the present invention calculate the flow rate growth coefficient according to the flow rate status value of the MB flow outlet network device in the current cycle and the flow rate prediction value of the MB flow outlet network device in the next cycle, and proactively identify the change trend of network traffic, so as to plan and adjust the bandwidth resources in advance; then dynamically adjust the bandwidth growth coefficient in combination with the flow rate growth coefficient of the MB flow outlet network device in the next cycle and the negative feedback correction coefficient, thereby ensuring the flexibility and accuracy of resource configuration; finally, dynamically adjust the bandwidth allocation of the MB flow outlet network device in the next cycle according to the target bandwidth configuration value determined according to the bandwidth growth coefficient of the MB flow outlet network device in the next cycle and the bandwidth status value of the MB flow outlet network device in the current cycle, thereby optimizing bandwidth utilization, improving the stability and efficiency of network services, realizing balanced resource configuration, and effectively coping with the growth and change of business flow rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a flow chart of the bearer network bandwidth configuration method provided by the present invention; Figure 2 It is a schematic diagram of the Internet provincial network architecture scenario provided by the present invention; Figure 3 It is a structural schematic diagram of the bearer network bandwidth configuration device provided by the present invention; Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] The embodiment of the present invention also provides a method for configuring the bandwidth of a bearer network. Figure 1 One of the flow diagrams of the bearer network bandwidth configuration method provided by the present invention; Figure 1 As shown, the method includes: Step 110, determining the flow rate growth coefficient of the flow rate egress network device of the metropolitan area network core router MB in the area to be configured in the next cycle according to the flow rate status value of the flow rate egress network device of the metropolitan area network core router MB in the area to be configured in the current cycle and the flow rate prediction value of the flow rate egress network device of the area to be configured in the next cycle; It should be understood that the traffic egress network device is an important component of the metropolitan area network core router MB. It 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).

[0020] In this embodiment, the bandwidth configuration steps of the MB traffic egress network device of each area to be configured in each cycle are the same, so the bandwidth configuration steps of the MB traffic egress network device of a area to be configured in one cycle are used as a representative for explanation.

[0021] Here, the period refers to a bandwidth configuration period, such as one year is one bandwidth configuration period or two years is one bandwidth configuration period, and there is no limitation on this.

[0022] Specifically, the current flow rate value of the flow outlet network device of the MB in the current cycle refers to the actual flow rate value of the flow outlet network device of the MB measured in the current cycle. This value reflects the actual network flow of the flow outlet network device of the MB in the current cycle and is the basis for predicting the flow change in the future cycle.

[0023] Specifically, the predicted value of the flow rate of the MB's traffic outlet network device in the next cycle refers to the expected value of the flow rate of the MB's traffic outlet network device in the next cycle predicted by a certain prediction model (such as time series analysis, machine learning algorithm, etc.) based on the current flow rate status of the MB's traffic outlet network device in the current cycle. The flow rate prediction value is intended to capture the changing trend of network traffic in order to prepare and respond to possible traffic peaks in advance.

[0024] In this embodiment, the flow rate prediction value of the flow outlet network device of the MB can be compared with the current flow rate value to calculate the corresponding flow rate growth coefficient. Preferably, the flow rate growth coefficient = flow rate prediction value / current flow rate value.

[0025] Step 120, determining the bandwidth growth coefficient of the traffic outlet network device of MB in the area to be configured in the next cycle according to the flow rate growth coefficient and the negative feedback correction coefficient of the traffic outlet network device of MB in the area to be configured in the next cycle, wherein the negative feedback correction coefficient is obtained based on the bandwidth utilization rate of the traffic outlet network device of MB; Here, the negative feedback correction coefficient is a key adjustment factor, which is calculated based on the bandwidth utilization of the MB's traffic egress network device. Bandwidth utilization refers to the proportion of network traffic to available bandwidth, which reflects the actual use of network resources.

[0026] In this embodiment, the bandwidth growth coefficient of the traffic outlet network device of MB in the next cycle can be calculated by combining the flow rate growth coefficient and the negative feedback correction coefficient of the traffic outlet network device of MB in the next cycle in the area to be configured.

[0027] Preferably, the bandwidth growth coefficient may be calculated in the following manner: bandwidth growth coefficient=flow rate growth coefficient×negative feedback correction coefficient.

[0028] It should be understood that bandwidth growth needs to match the growth of flow rate, so the bandwidth growth coefficient is positively correlated with the flow rate growth coefficient. By adjusting the negative feedback correction coefficient, the bandwidth growth coefficient is closer to the goal of resource balanced deployment optimization.

[0029] Step 130, according to the bandwidth status value of the traffic outlet network device MB of the area to be configured in the current cycle and the bandwidth growth coefficient, obtain the target bandwidth configuration value of the traffic outlet network device MB of the area to be configured in the next cycle.

[0030] Here, the bandwidth status value of the traffic egress network device of the MB in the current cycle refers to the bandwidth actually allocated by the traffic egress network device of the MB in the current cycle. This value reflects the carrying capacity and resource utilization of the traffic egress network device of the MB in the current cycle.

[0031] As mentioned above, the bandwidth growth coefficient is a value calculated based on the flow rate growth coefficient and the negative feedback correction coefficient. It indicates the proportion or multiple that the current bandwidth needs to increase in order to adapt to the expected network traffic growth in the next cycle.

[0032] Specifically, in this embodiment, the target bandwidth configuration value that needs to be configured for the traffic export network device of MB in the next cycle in order to maintain network performance and user experience can be obtained based on the multiplication result of the bandwidth status value and the bandwidth growth coefficient.

[0033] The bearer network bandwidth configuration method proposed in the embodiment of the present invention, by comprehensively considering the current flow rate status value in the current cycle and the predicted flow rate value in the next cycle, combined with the negative feedback correction mechanism based on bandwidth utilization, effectively determines the flow rate growth coefficient and bandwidth growth coefficient of the flow export network device of the metropolitan area network core router MB in the next cycle. Then, combined with the bandwidth status value of the current cycle, the target bandwidth configuration value of the flow export network device of MB in the next cycle is obtained. In this way, it can dynamically adapt to changes in network traffic, ensure the reasonable allocation and efficient use of network resources, and at the same time improve the stability and response speed of the network, providing a strong guarantee for the continuity and scalability of the business.

[0034] It should be noted that each implementation method of the present application can be freely combined, the order can be changed, or it can be executed separately, and does not need to rely on or depend on a fixed execution order.

[0035] In some embodiments, the traffic egress network device includes an uplink egress network device, the uplink egress network device includes a backbone router BC and a provincial network core router PB, and the method further includes: Based on the fixed network service traffic distribution data of the MB in the area to be configured in the current period, determine the first flow ratio of the fixed network service traffic of the MB in the area to be configured flowing to BC and the second flow ratio of PB respectively; Based on the mobile network service traffic distribution data of the MB in the area to be configured in the current period, determine the third flow ratio of the mobile network service traffic of the MB in the area to be configured flowing to BC and the fourth flow ratio of PB respectively; Determine the predicted flow rate value of BC in the area to be configured in the next cycle according to the predicted flow rate value of the fixed network service of MB in the area to be configured in the next cycle and the ratio of the first flow direction, and the predicted flow rate value of the mobile network service of MB in the area to be configured in the next cycle and the ratio of the third flow direction; The predicted flow rate value of PB in the area to be configured in the next cycle is determined based on the predicted flow rate value of the fixed network service of MB in the area to be configured in the next cycle and the ratio of the second flow direction, as well as the predicted flow rate value of the mobile network service of MB in the area to be configured in the next cycle and the ratio of the fourth flow direction.

[0036] Here, the uplink egress network device refers to a network device that is directly connected to the metropolitan area network core router MB and is responsible for transmitting traffic to a higher-level network (such as a provincial network or backbone network). In this embodiment, the uplink egress network device includes PB (Province Backbone, provincial network tandem router) and BC (Backbone Converge, backbone network backbone router).

[0037] refer to Figure 2 With the widespread deployment of 5G user plane functions (UPF) and the rapid expansion of 4 / 5G converged network elements, the transmission mode of network traffic is undergoing a profound transformation, that is, network traffic is gradually sinking from provincial centers or higher-level network devices (such as PB and BC) to local network nodes (such as state-level metropolitan area network core routers MB). Given that the implementation of the traffic sinking strategy has led to more traffic being directed to MB for processing, in order to optimize the network architecture and improve network transmission efficiency, the construction and management of the bandwidth of MB's uplink egress network devices (i.e., backbone layer routers BC and provincial network core routers PB) is also crucial.

[0038] It should be understood that fixed network services refer to network services provided through wired connections (such as optical fiber and cable), such as home broadband (including business broadband), Internet TV, Internet dedicated lines (such as enterprise dedicated lines), etc. Mobile network services refer to network services provided through wireless connections, such as 4G, 5G, etc.

[0039] Here, the fixed network service traffic distribution data of MBs in the area to be configured in the current period refers to the fixed network service traffic data collected from MBs in the area to be configured in the current period. These data usually include information such as traffic size, flow direction, and time distribution of different fixed network service types (such as home broadband customers, customer acquisition customers, etc.).

[0040] Here, the mobile network service flow data mainly comes from various nodes in the mobile network, including base stations, mobile switching centers, data centers, etc. At the MB of the area to be configured, the mobile network service flow data of the area to be configured passing through the node in the current cycle can be collected. These data contain various key information of mobile network service flow, such as flow size, time distribution, and service type (such as video, voice, data, etc.).

[0041] Specifically, in this embodiment, the fixed-line service traffic distribution data of MB in the current cycle is first deeply analyzed, especially focusing on the traffic flowing to BC and PB. Through analysis, it can be determined that in the current cycle, how much proportion of the fixed-line service traffic of MB flows to BC, that is, the first flow ratio, and how much proportion of the fixed-line service traffic of MB flows to PB, that is, the second flow ratio. Here, the calculation of the first flow ratio is usually obtained by dividing the traffic size flowing to BC by the total fixed-line service traffic of MB, and the calculation of the second flow ratio is usually obtained by dividing the traffic size flowing to PB by the total fixed-line service traffic of MB.

[0042] Similarly, an in-depth analysis is conducted on the distribution data of MB's mobile network service traffic in the current cycle, with particular attention paid to the traffic flowing to BC and PB. Through the analysis, it can be determined how much proportion of MB's mobile network service traffic flows to BC, that is, the third flow direction ratio, and how much proportion of MB's mobile network service traffic flows to PB, that is, the fourth flow direction ratio.

[0043] Then, the flow rate of each upstream network device of MB is quantified and split in combination with the flow direction ratio of operation and maintenance statistics. Specifically, the predicted value of the fixed network service flow rate of MB in the next cycle and the first flow direction ratio, as well as the predicted value of the mobile network service flow rate and the third flow direction ratio, are used to perform a weighted sum operation to obtain the predicted value of the flow rate of BC in the next cycle of the area to be configured.

[0044] Similarly, the predicted mobile network service flow rate value of MB in the next cycle and the second flow direction ratio, as well as the predicted mobile network service flow rate value and the fourth flow direction ratio, are used to perform a weighted sum operation to obtain the predicted flow rate value of PC in the next cycle in the area to be configured.

[0045] Here, the predicted value of the fixed network service flow rate and the predicted value of the mobile network service flow rate of the MB in the area to be configured in the next period can be inferred based on various factors such as historical data, network development trends, user behavior patterns, etc., and there is no restriction on this.

[0046] The bearer network bandwidth configuration method proposed in the embodiment of the present invention predicts the traffic data of the next cycle by using the traffic distribution data of the current cycle, and performs network configuration accordingly. By predicting the flow rates of BC and PB, it can ensure that network resources are reasonably allocated to meet future business needs.

[0047] In some embodiments, the traffic egress network device includes a downstream egress network device, the downstream egress network device includes a broadband access server BRAS, and the method further includes: Determine the fifth flow direction ratio of the fixed network service traffic of the MBs in the area to be configured to the BRAS based on the fixed network service traffic distribution data of the MBs in the area to be configured in the current period; The predicted flow rate value of the BRAS in the area to be configured in the next period is determined according to the predicted flow rate value of the fixed network service of the MB in the area to be configured in the next period and the fifth flow direction ratio.

[0048] Continue to refer Figure 2 In the metropolitan area network architecture, MB is the core device, and its downstream is connected to BRAS (Broadband Remote Access Server). BRAS plays an important role in the metropolitan area network, and it is responsible for processing users' broadband access services. The peak flow rate of MB (that is, the maximum flow rate reached in a certain period of time) is largely affected by the peak downstream flow rate of its downstream BRAS. Therefore, reasonable BRAS bandwidth configuration is also crucial.

[0049] It should be understood that BRAS is only related to fixed network service traffic, so in this embodiment, only the fixed network service traffic distribution data of MB (metropolitan area network core router) in the area to be configured in the current cycle is collected. These data usually include information such as the traffic size and time distribution in all directions flowing from MB.

[0050] Next, we conduct an in-depth analysis of the fixed-line service traffic distribution data, especially focusing on the traffic flowing to BRAS. Through analysis, we can determine what proportion of MB's fixed-line service traffic flows to BRAS in the current cycle, that is, the fifth flow ratio. Here, the fifth flow ratio is usually calculated by dividing the traffic flowing to BRAS by the total fixed-line service traffic of MB. This ratio reflects the proportion of BRAS in MB's fixed-line service traffic in the current cycle.

[0051] Finally, the predicted flow rate value of the fixed network service flow rate of the MB in the area to be configured in the next cycle is multiplied by the fifth flow ratio to obtain the predicted flow rate value of the BRAS in the area to be configured in the next cycle.

[0052] The bearer network bandwidth configuration method proposed in the embodiment of the present invention can ensure that the BRAS device has sufficient bandwidth to handle the expected traffic load and ensure that network resources are reasonably allocated to meet future business needs by accurately predicting the flow rate of the BRAS.

[0053] In some embodiments, the method further comprises: Determine a predicted value of the first single-user flow rate of the fixed network service in the area to be configured in the next cycle based on the first single-user flow rate value of the fixed network service in the area to be configured in the current cycle; Determine a predicted second single-user flow rate value of the mobile network service in the area to be configured in the next cycle based on the second single-user flow rate value of the mobile network service in the area to be configured in the current cycle; Determine the number of fixed network service users and mobile network service users in the area to be configured in the current period; According to the first single-user flow rate prediction value and the number of fixed network service users in the area to be configured in the current cycle, obtaining a flow rate prediction value of the fixed network service of the MB in the area to be configured in the next cycle; According to the second single-user flow rate prediction value and the number of mobile network service users in the area to be configured in the current cycle, the flow rate prediction value of the mobile network service of the MB in the area to be configured in the next cycle is obtained.

[0054] In this embodiment, based on the first single-user flow rate value of the fixed-line service in the area to be configured in the current cycle (i.e., the average flow rate data used by each fixed-line user), a statistical method or a machine learning model is used to predict the first single-user flow rate prediction value of the fixed-line service in the area in the next cycle.

[0055] Similarly, based on the second single-user flow rate value of the mobile network service in the area to be configured in the current cycle (ie, the average flow rate data used by each mobile network user), the second single-user flow rate predicted value of the mobile network service in the area in the next cycle is predicted.

[0056] Next, the number of users using fixed network services in the area to be configured in the current period and the number of users using mobile network services in the area to be configured in the current period are counted.

[0057] Finally, based on the predicted first single-user flow rate and the number of fixed-line service users in the current cycle, the total flow rate prediction value of the fixed-line service of the MB in the area to be configured in the next cycle 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 fixed-line services that the MB may need to process in the next cycle.

[0058] Similarly, based on the predicted second single-user flow rate and the number of mobile network service users in the current cycle, the total flow rate prediction value of the mobile network service of the MB in the area to be configured in the next cycle is calculated. This value is obtained by multiplying the predicted single-user flow rate by the number of users, which reflects the total flow data of mobile network services that the MB may need to process in the next cycle.

[0059] For ease of understanding, this embodiment takes fixed-line services including home broadband, Internet TV, and dedicated lines, and uses the flow rate data of MBs in the current planning period of various states to predict the flow rates of fixed-line services in multiple future planning periods as an example for explanation: Among them, the number of home broadband (including business broadband) users in the current planning period is sorted by state from 1 to M, and is counted as array A=[A1, A2, ..., AM]; the number of Internet TV users in the current planning period is sorted by state from 1 to M, and is counted as array B=[B1, B2, ..., BM]; the number of Internet dedicated line users in the current planning period is sorted by state from 1 to M, and is counted as array C=[C1, C2, ..., CM].

[0060] For the single-user flow rate value of the home broadband service, the single-user flow rate value of the current planning period is statistically obtained as a1. Based on the single-user flow rate values ​​statistically collected monthly in the current planning period as historical sample data, combined with the time series trend extrapolation forecast analysis, the single-user flow rate forecast values ​​for the next three planning periods can be predicted, which are calculated as a2, a3, and a4 respectively.

[0061] For the single-user flow rate value of the Internet TV service, the single-user flow rate value of the current planning period is obtained by statistics as b1. Through the analysis of historical statistical data, 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 forecast values ​​for the next three planning periods can be predicted, which are b2, b3, and b4 respectively. Among them, b2, b3, and b4 can all be equal to b1.

[0062] Similarly, for the single-user flow rate value of the dedicated line service, the single-user flow rate value of the current planning period is obtained by statistics as c1. Through the analysis of historical statistical data, 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 forecast values ​​for the next three planning periods can be predicted, which are c2, c3, and c4 respectively. Among them, c2, c3, and c4 can all be equal to c1.

[0063] Then the fixed network service flow rate value S1 of MB in each state in each planning week = [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].

[0064] The bearer network bandwidth configuration method proposed in the embodiment of the present invention analyzes the single-user flow rate value in the current cycle, predicts the single-user flow rate prediction value in the next cycle, and calculates the number of users, so as to accurately predict the flow rate prediction value in the next cycle of the area to be configured, thereby providing data support for network resource configuration and optimization.

[0065] In some embodiments, obtaining the target bandwidth configuration value of the traffic egress network device of the area to be configured in the next cycle according to the bandwidth status value of the traffic egress network device of the area to be configured in the current cycle and the bandwidth growth coefficient includes: Perform linear calculation based on the bandwidth status value of the traffic egress network device of the area to be configured in the current cycle and the bandwidth growth coefficient to obtain the initial bandwidth configuration value of the traffic egress network device of the area to be configured in the next cycle; Determine the minimum bandwidth unit that can be configured for MB traffic egress network devices; The initial bandwidth configuration value is evened according to the minimum bandwidth unit configurable 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 in the next cycle for the area to be configured.

[0066] Here, linear calculation means increasing or decreasing values ​​in fixed proportions or increments.

[0067] First, the bandwidth status value of the current period and the bandwidth growth coefficient are linearly calculated, that is, the bandwidth growth coefficient is multiplied by the bandwidth status value to obtain a preliminary and estimated bandwidth configuration value, namely the initial bandwidth configuration value. The initial bandwidth configuration value represents the expected bandwidth level to meet future needs without considering other constraints.

[0068] It should be noted that when configuring bandwidth, network devices usually do not configure it with arbitrary values, but with fixed steps or units, such as only increasing or decreasing by 10Mbps or 100Mbps each time. Therefore, in this embodiment, it is necessary to further determine the minimum bandwidth unit that can be configured by the MB traffic outlet network device, and this minimum bandwidth unit is the basis for subsequent bandwidth configuration adjustment.

[0069] Finally, based on the minimum bandwidth unit determined previously, the initial bandwidth configuration value is evened, for example, adjusted to an integer even multiple 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 forecast and the configuration rules of the network device.

[0070] For ease of understanding, the traffic egress network devices PB (BC) and BRAS are used as representatives for explanation.

[0071] It should be understood that PB (BC) is the uplink network device of MB, and the minimum bandwidth configuration is 100G link, and BRAS is the downlink network device of MB, and the minimum bandwidth configuration is 10G link. Then the target configuration value of PB (BC) can be calculated using Roundup (β×θ / 200,0)×200. Here, β represents the bandwidth growth coefficient of PB (BC), and θ represents the current bandwidth value of PB (BC). This ensures that the final target bandwidth configuration value of PB (BC) is an integer multiple of 100G and complies with the even number processing rule. Similarly, the target configuration value of BRAS can be calculated using Roundup (α×π / 20,0)×20. Here, α represents the bandwidth growth coefficient of BRAS, and π represents the current bandwidth value of BRAS. This ensures that the final target bandwidth configuration value of BRAS is an integer multiple of 10G and complies with the even number processing rule.

[0072] The bearer network bandwidth configuration method proposed in the embodiment of the present invention first obtains an initial bandwidth configuration value by linearly calculating the bandwidth status value and bandwidth growth coefficient of the traffic export network device of MB, then determines the minimum bandwidth unit that can be configured for the traffic export network device of MB, and finally evens the bandwidth configuration value according to the minimum bandwidth unit, so as to obtain a target bandwidth configuration value that meets both the actual demand prediction and the network device configuration rules.

[0073] In some embodiments, the negative feedback correction coefficient of the traffic egress network device of the MB in the area to be configured in the next cycle is obtained by: Determine the current value of bandwidth utilization of the traffic egress network device of the MB in the area to be configured in the current period; Determine the target value of bandwidth utilization of the traffic egress network device of the MB in the area to be configured in the next cycle; According to the bandwidth utilization status value and the bandwidth utilization target value, a negative feedback correction coefficient of the traffic outlet network device of the MB in the area to be configured in the next cycle is determined.

[0074] Here, bandwidth utilization refers to the ratio of actually used bandwidth to total available bandwidth. This value reflects the bandwidth utilization efficiency of the current network device.

[0075] First, evaluate the current bandwidth utilization of the network equipment at the traffic outlet of the MB in the area to be configured in the current cycle. For example, collect network usage data through the network management system, including the network traffic peaks on the busiest day of the month (monthly busy day) and the busiest time period of the day (daily busy time). Perform statistical analysis on these peak data and calculate the average current bandwidth utilization value, which reflects the bandwidth usage of the network equipment at the traffic outlet of the MB in the current cycle.

[0076] Next, set the bandwidth utilization target value of the traffic export network equipment of the MB in the area to be configured in the next cycle. This target value can usually be determined based on business needs, network planning, cost-benefit analysis and other factors, aiming to achieve effective utilization and balance of network resources. For example, compare the network bandwidth utilization with other configuration areas, that is, horizontal benchmarking, and select a moderate target utilization value based on the results of horizontal benchmarking.

[0077] Finally, the current bandwidth utilization status value is compared with the determined bandwidth utilization target value. Specifically, the negative feedback correction coefficient = the bandwidth utilization status value of the traffic outlet network device of MB / the bandwidth utilization target value of the traffic outlet network device of MB.

[0078] The bearer network bandwidth configuration method proposed in the embodiment of the present invention determines the negative feedback correction coefficient of the traffic export network device of MB according to the bandwidth utilization status value and the bandwidth utilization target value of the traffic export network device of MB, and thus introduces the negative feedback correction coefficient for tuning and correction to achieve a balanced effect of low-rise and high-fall.

[0079] An embodiment of the present invention further provides a bearer network bandwidth configuration device. The bearer network bandwidth configuration device provided by the embodiment of the present invention is described below. The bearer network bandwidth configuration device described below and the bearer network bandwidth configuration method described above can refer to each other.

[0080] refer to Figure 3 In this embodiment, the bearer network bandwidth configuration device includes: The first bandwidth configuration module 310 is used to determine the flow rate growth coefficient of the flow rate egress network device MB in the area to be configured in the next cycle according to the flow rate status value of the flow rate egress network device of the metropolitan area network core router MB in the area to be configured in the current cycle and the flow rate prediction value of the flow rate egress network device MB in the area to be configured in the next cycle; The second bandwidth configuration module 320 is used to determine the bandwidth growth coefficient of the traffic outlet network device of the MB in the next cycle of the area to be configured according to the flow rate growth coefficient and the negative feedback correction coefficient of the traffic outlet network device of the MB in the area to be configured in the next cycle, wherein the negative feedback correction coefficient is obtained based on the bandwidth utilization rate of the traffic outlet network device of the MB; The third bandwidth configuration module 330 is used to obtain the target bandwidth configuration value of the traffic egress network device MB in the area to be configured in the next cycle according to the bandwidth status value of the traffic egress network device MB in the area to be configured in the current cycle and the bandwidth growth coefficient.

[0081] The bearer network bandwidth configuration device provided by the embodiment of the present invention calculates the flow rate growth coefficient according to the flow rate status value of the MB's traffic outlet network device in the current cycle and the flow rate prediction value of the MB's traffic outlet network device in the next cycle, and proactively identifies the change trend of network traffic, thereby planning and adjusting bandwidth resources in advance; then dynamically adjusts the bandwidth growth coefficient in combination with the flow rate growth coefficient of the MB's traffic outlet network device in the next cycle and the negative feedback correction coefficient, thereby ensuring the flexibility and accuracy of resource configuration; finally, dynamically adjusts the bandwidth allocation of the MB's traffic outlet network device in the next cycle according to the target bandwidth configuration value determined according to the bandwidth growth coefficient of the MB's traffic outlet network device in the next cycle and the bandwidth status value of the MB's traffic outlet network device in the current cycle, thereby optimizing bandwidth utilization and improving the stability and efficiency of network services, realizing balanced resource configuration, and effectively coping with the growth and changes of business flow rates.

[0082] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4 As shown, the electronic device may include: a processor 410, a communication interface 420, a memory 430 and a communication bus 440, wherein the processor 410, the communication interface 420, and the memory 430 communicate with each other through the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute the bearer network bandwidth configuration method, which includes: Determine the flow rate growth coefficient of the flow rate network device of the metropolitan area network core router MB in the next cycle of the area to be configured according to the current flow rate value of the flow rate of the network device of the flow rate of the metropolitan area network core router MB in the current cycle of the area to be configured and the predicted flow rate value of the flow rate of the network device of the flow rate of the MB in the next cycle of the area to be configured; Determine the bandwidth growth coefficient of the traffic outlet network device of the MB in the next cycle of the area to be configured according to the flow rate growth coefficient and the negative feedback correction coefficient of the traffic outlet network device of the MB in the next cycle, wherein the negative feedback correction coefficient is obtained based on the bandwidth utilization rate of the traffic outlet network device of the MB; According to the bandwidth status value of the traffic outlet network device of MB in the area to be configured in the current cycle and the bandwidth growth coefficient, the target bandwidth configuration value of the traffic outlet network device of MB in the area to be configured in the next cycle is obtained.

[0083] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0084] On the other hand, the present invention further provides a computer program product, the computer program product includes a computer program, the computer program can be stored on a non-transitory computer-readable storage medium, when the computer program is executed by a processor, the computer can execute the bearer network bandwidth configuration method provided by the above methods, the method comprising: Determine the flow rate growth coefficient of the flow rate network device of the metropolitan area network core router MB in the next cycle of the area to be configured according to the current flow rate value of the flow rate of the network device of the flow rate of the metropolitan area network core router MB in the current cycle of the area to be configured and the predicted flow rate value of the flow rate of the network device of the flow rate of the MB in the next cycle of the area to be configured; Determine the bandwidth growth coefficient of the traffic outlet network device of the MB in the next cycle of the area to be configured according to the flow rate growth coefficient and the negative feedback correction coefficient of the traffic outlet network device of the MB in the next cycle, wherein the negative feedback correction coefficient is obtained based on the bandwidth utilization rate of the traffic outlet network device of the MB; According to the bandwidth status value of the traffic outlet network device of MB in the area to be configured in the current cycle and the bandwidth growth coefficient, the target bandwidth configuration value of the traffic outlet network device of MB in the area to be configured in the next cycle is obtained.

[0085] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented when the computer program is executed by a processor to execute the bearer network bandwidth configuration method provided by the above methods, the method comprising: Determine the flow rate growth coefficient of the flow rate network device of the metropolitan area network core router MB in the next cycle of the area to be configured according to the current flow rate value of the flow rate of the network device of the flow rate of the metropolitan area network core router MB in the current cycle of the area to be configured and the predicted flow rate value of the flow rate of the network device of the flow rate of the MB in the next cycle of the area to be configured; Determine the bandwidth growth coefficient of the traffic outlet network device of the MB in the next cycle of the area to be configured according to the flow rate growth coefficient and the negative feedback correction coefficient of the traffic outlet network device of the MB in the next cycle, wherein the negative feedback correction coefficient is obtained based on the bandwidth utilization rate of the traffic outlet network device of the MB; According to the bandwidth status value of the traffic outlet network device of MB in the area to be configured in the current cycle and the bandwidth growth coefficient, the target bandwidth configuration value of the traffic outlet network device of MB in the area to be configured in the next cycle is obtained.

[0086] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0087] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0088] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for configuring bearer network bandwidth, characterized in that: The method comprises: Determine the flow rate growth coefficient of the flow rate network device of the metropolitan area network core router MB in the next cycle of the area to be configured according to the current flow rate value of the flow rate of the network device of the flow rate of the metropolitan area network core router MB in the current cycle of the area to be configured and the predicted flow rate value of the flow rate of the network device of the flow rate of the MB in the next cycle of the area to be configured; Determine the bandwidth growth coefficient of the traffic outlet network device of the MB in the next cycle of the area to be configured according to the flow rate growth coefficient and the negative feedback correction coefficient of the traffic outlet network device of the MB in the next cycle, wherein the negative feedback correction coefficient is obtained based on the bandwidth utilization rate of the traffic outlet network device of the MB; According to the bandwidth status value of the traffic outlet network device of MB in the area to be configured in the current cycle and the bandwidth growth coefficient, the target bandwidth configuration value of the traffic outlet network device of MB in the area to be configured in the next cycle is obtained.

2. The bearer network bandwidth configuration method according to claim 1, characterized in that: The traffic egress network device includes an uplink egress network device, the uplink egress network device includes a backbone router BC and a provincial network core router PB, and the method further includes: Based on the fixed network service traffic distribution data of the MB in the area to be configured in the current period, determine the first flow ratio of the fixed network service traffic of the MB in the area to be configured flowing to BC and the second flow ratio of PB respectively; Based on the mobile network service traffic distribution data of the MB in the area to be configured in the current period, determine the third flow ratio of the mobile network service traffic of the MB in the area to be configured flowing to BC and the fourth flow ratio of PB respectively; Determine the predicted flow rate value of BC in the area to be configured in the next cycle according to the predicted flow rate value of the fixed network service of MB in the area to be configured in the next cycle and the ratio of the first flow direction, and the predicted flow rate value of the mobile network service of MB in the area to be configured in the next cycle and the ratio of the third flow direction; The predicted flow rate value of PB in the area to be configured in the next cycle is determined based on the predicted flow rate value of the fixed network service of MB in the area to be configured in the next cycle and the ratio of the second flow direction, as well as the predicted flow rate value of the mobile network service of MB in the area to be configured in the next cycle and the ratio of the fourth flow direction.

3. The bearer network bandwidth configuration method according to claim 1, characterized in that: The traffic egress network device includes a downstream egress network device, the downstream egress network device includes a broadband access server BRAS, and the method further includes: Determine the fifth flow direction ratio of the fixed network service traffic of the MBs in the area to be configured to the BRAS based on the fixed network service traffic distribution data of the MBs in the area to be configured in the current period; The predicted flow rate value of the BRAS in the area to be configured in the next period is determined according to the predicted flow rate value of the fixed network service of the MB in the area to be configured in the next period and the fifth flow direction ratio.

4. The bearer network bandwidth configuration method according to claim 2 or 3, characterized in that: The method further comprises: Determine a predicted value of the first single-user flow rate of the fixed network service in the area to be configured in the next cycle based on the first single-user flow rate value of the fixed network service in the area to be configured in the current cycle; Determine a predicted second single-user flow rate value of the mobile network service in the area to be configured in the next cycle based on the second single-user flow rate value of the mobile network service in the area to be configured in the current cycle; Determine the number of fixed network service users and mobile network service users in the area to be configured in the current period; According to the first single-user flow rate prediction value and the number of fixed network service users in the area to be configured in the current cycle, obtaining a flow rate prediction value of the fixed network service of the MB in the area to be configured in the next cycle; According to the second single-user flow rate prediction value and the number of mobile network service users in the area to be configured in the current cycle, the flow rate prediction value of the mobile network service of the MB in the area to be configured in the next cycle is obtained.

5. The bearer network bandwidth configuration method according to claim 1, characterized in that: The step of obtaining a target bandwidth configuration value of the traffic egress network device of the area to be configured in the next cycle according to the bandwidth status value of the traffic egress network device of the area to be configured in the current cycle and the bandwidth growth coefficient includes: Perform linear calculation based on the bandwidth status value of the traffic egress network device of the area to be configured in the current cycle and the bandwidth growth coefficient to obtain the initial bandwidth configuration value of the traffic egress network device of the area to be configured in the next cycle; Determine the minimum bandwidth unit that can be configured for MB traffic egress network devices; The initial bandwidth configuration value is evened according to the minimum bandwidth unit configurable 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 in the next cycle for the area to be configured.

6. The method for configuring the bearer network bandwidth according to claim 1, characterized in that: The negative feedback correction coefficient of the traffic egress network device of the MB in the area to be configured in the next cycle is obtained in the following way: Determine the current value of bandwidth utilization of the traffic egress network device of the MB in the area to be configured in the current period; Determine the bandwidth utilization target value of the traffic egress network device of the MB in the area to be configured in the next cycle; According to the bandwidth utilization status value and the bandwidth utilization target value, a negative feedback correction coefficient of the traffic outlet network device of the MB in the area to be configured in the next cycle is determined.

7. A bearer network bandwidth configuration device, characterized in that: include: The first bandwidth configuration module is used to determine the flow rate growth coefficient of the flow rate network device of the metropolitan area network core router MB in the area to be configured in the next cycle according to the flow rate status value of the flow rate of the flow rate network device of the metropolitan area network core router MB in the area to be configured in the current cycle and the flow rate prediction value of the flow rate of the flow rate network device of the MB in the area to be configured in the next cycle; The second bandwidth configuration module is used to determine the bandwidth growth coefficient of the traffic outlet network device of the MB in the area to be configured in the next cycle according to the flow rate growth coefficient and the negative feedback correction coefficient of the traffic outlet network device of the MB in the area to be configured in the next cycle, wherein the negative feedback correction coefficient is obtained based on the bandwidth utilization rate of the traffic outlet network device of the MB; The third bandwidth configuration module is used to obtain the target bandwidth configuration value of the traffic outlet network device MB in the area to be configured in the next cycle according to the bandwidth status value of the traffic outlet network device MB in the area to be configured in the current cycle and the bandwidth growth coefficient.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the bearer network bandwidth configuration method as described in any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for configuring the bandwidth of a bearer network as claimed in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for configuring the bandwidth of a bearer network as claimed in any one of claims 1 to 6 is implemented.

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