Network configuration method and device, computer equipment and storage medium

Abstract

The invention discloses a network configuration method and device, computer equipment and a storage medium. Belongs to the technical field of network communication. The method specifically comprises the following steps: acquiring time associated information of a data packet corresponding to a target service at the current moment from a service flow; and determining target delay jitter information of the target service according to the time association information. And configuring a communication network corresponding to the target service according to the target delay jitter information and the time association information. According to the application, the time associated information of the data packet corresponding to the target service at the current moment is acquired from the service flow; and according to the time association information of the data packet corresponding to the target service at the current moment, the target delay jitter information of the target service is automatically determined. And the communication network corresponding to the target service is automatically configured according to the target delay jitter information and the time association information, manual participation is not needed, additional hardware equipment is not needed, the network configuration efficiency and accuracy are effectively improved, and the network configuration cost is reduced at the same time.

Description

Technical Field

[0001] The present application relates to the field of network communication technology, and in particular to a network configuration method, apparatus, computer equipment and storage medium. Background Art

[0002] In the application scenarios of industrial PON (Passive Optical Network) (for example, in the communication process between PN (ProfiNet, Industrial Ethernet) slave station and PN master station), different industrial services have different communication requirements for the communication network. It is necessary to configure the communication network corresponding to different industrial services to meet the communication quality requirements of different industrial services.

[0003] The existing system needs to count the relevant needs of each industrial business, complete the network configuration, and install additional hardware equipment (for example, ET2000, FPGA, etc.) to determine the delay jitter of each industrial business, and then adjust the network configuration according to the delay jitter, and so on, until the network configuration is adjusted. Due to the large number of industrial businesses and their complexity and changeability, the traditional network configuration method not only requires a lot of manpower, but also has high costs due to the additional hardware. Summary of the invention

[0004] Based on this, it is necessary to provide a network configuration method, device, computer equipment and storage medium that can effectively improve network configuration efficiency in response to the above technical problems.

[0005] In a first aspect, the present application provides a network configuration method, the method comprising:

[0006] Obtaining time association information of the data packet corresponding to the target service at the current moment from the service flow;

[0007] Determine target delay jitter information of the target service based on the time correlation information;

[0008] Configure the communication network corresponding to the target service according to the target delay jitter information and time correlation information.

[0009] In one embodiment, the time-related information includes a packet transmission frequency and / or a packet transmission interval duration.

[0010] In one embodiment, determining target delay jitter information of a target service according to the time correlation information includes:

[0011] Obtaining the data packet receiving time of a preset number of consecutive data packets corresponding to target services before the current time;

[0012] The target delay jitter information of the target service is determined according to the reception time and time correlation information of each data packet.

[0013] In one embodiment, determining target delay jitter information of a target service according to the reception time and time correlation information of each data packet includes:

[0014] Determine the historical delay jitter information of the target service based on the reception time and time correlation information of each data packet;

[0015] Based on the second neural network, according to the historical delay jitter information, the future delay jitter information of the target service in the future period is predicted;

[0016] The future delay jitter information is used as the target delay jitter information of the target service.

[0017] In one of the embodiments, configuring a communication network corresponding to a target service according to target delay jitter information and time correlation information includes:

[0018] Determine the expected delay accuracy of the target service based on the time correlation information;

[0019] Configure the communication network corresponding to the target service based on the expected delay accuracy and target delay jitter information.

[0020] In one of the embodiments, configuring a communication network corresponding to a target service according to the expected delay accuracy and the target delay jitter information includes:

[0021] Determine target configuration information of the communication network according to expected delay accuracy and target delay jitter information, as well as current network configuration information and network resource usage of the communication network corresponding to the target service;

[0022] Based on the target configuration information, the communication network is configured.

[0023] In one embodiment, obtaining time association information of a data packet corresponding to a target service at a current moment from a service flow includes:

[0024] The time correlation information of the data packet corresponding to the target service is obtained from the service flow through the first neural network.

[0025] In a second aspect, the present application provides a network configuration device, the device comprising:

[0026] An acquisition module is used to acquire time-related information of a data packet corresponding to a target service at the current moment from a service flow;

[0027] A determination module, used to determine target delay jitter information of a target service according to the time association information;

[0028] The configuration module is used to configure the communication network corresponding to the target service according to the target delay jitter information and the time correlation information.

[0029] In a third aspect, the present application further provides a computer device, the computer device comprising a memory and a processor, the memory storing a computer program, and the processor implementing the following steps when executing the computer program:

[0030] Obtaining time association information of the data packet corresponding to the target service at the current moment from the service flow;

[0031] Determine target delay jitter information of the target service based on the time correlation information;

[0032] Configure the communication network corresponding to the target service according to the target delay jitter information and time correlation information.

[0033] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0034] Obtaining time association information of the data packet corresponding to the target service at the current moment from the service flow;

[0035] Determine target delay jitter information of the target service based on the time correlation information;

[0036] Configure the communication network corresponding to the target service according to the target delay jitter information and time correlation information.

[0037] In a fifth aspect, the present application further provides a computer program product, the computer program product comprising a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0038] Obtaining time association information of the data packet corresponding to the target service at the current moment from the service flow;

[0039] Determine target delay jitter information of the target service based on the time correlation information;

[0040] Configure the communication network corresponding to the target service according to the target delay jitter information and time correlation information.

[0041] The above-mentioned network configuration method, device, computer equipment and storage medium obtain the time correlation information of the data packet corresponding to the target service at the current moment from the service flow. According to the time correlation information, the target delay jitter information of the target service is determined. According to the target delay jitter information and the time correlation information, the communication network corresponding to the target service is configured. The present application obtains the time correlation information of the data packet corresponding to the target service at the current moment from the service flow. And according to the time correlation information of the data packet corresponding to the target service at the current moment, the target delay jitter information of the target service is automatically determined. And according to the target delay jitter information and the time correlation information, the communication network corresponding to the target service is automatically configured, without manual participation and without the need to install additional hardware equipment, which not only effectively improves the efficiency and accuracy of network configuration, but also reduces the cost of network configuration. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 An application environment diagram of a network configuration method provided in this embodiment;

[0043] Figure 2 A schematic diagram of a flow chart of a first network configuration method provided in this embodiment;

[0044] Figure 3 A schematic diagram of a process for determining target delay jitter information of a target service provided in this embodiment;

[0045] Figure 4 A schematic diagram of a process for configuring a communication network corresponding to a target service provided in this embodiment;

[0046] Figure 5 A schematic diagram of a flow chart of a third network configuration method provided in this embodiment;

[0047] Figure 6 A structural block diagram of a network configuration device provided in this embodiment;

[0048] Figure 7 This is a diagram of the internal structure of the computer device provided in this embodiment. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0050] The network configuration method provided in the embodiment of the present application can be applied to Figure 1In the application environment shown. Among them, it is mainly used in the application environment where the PN (ProfiNet, Industrial Ethernet) master station and the PN slave station transmit the service flow through the optical communication network. Specifically, it can be applied to the OLT device. The OLT device obtains the time correlation information of the data packet corresponding to the target service at the current moment from the service flow. The OLT device determines the target delay jitter information of the target service based on the time correlation information. The OLT device configures the communication network corresponding to the target service based on the target delay jitter information and the time correlation information.

[0051] Among them, PN slaves usually refer to "slaves" in Profinet networks. Profinet is an industrial Ethernet standard used for data communication in industrial automation and control systems. PN slaves refer to devices that are connected to the Profinet network and exist as slave devices. These devices may be sensors, actuators, HMIs (human-machine interfaces) or other types of industrial automation equipment. They usually do not have the ability to initiate communication, but respond to queries and instructions from the master station.

[0052] The PN master station refers to the master station in the Profinet network, which is responsible for initiating communication requests, and the slave stations respond to these requests and provide data or execute instructions.

[0053] OLT equipment is the abbreviation of "Optical Line Terminal". It is a device used for access network in network communication, especially playing an important role in fiber-optic communication network.

[0054] In one embodiment, Figure 2 is a flow chart of a network configuration method provided according to an embodiment of the present application, in which the method is applied to Figure 1 Taking the OLT device in the example as an example, the method includes the following steps:

[0055] S201, obtaining time association information of a data packet corresponding to a target service at a current moment from a service flow.

[0056] Among them, the service flow refers to the data flow between the PN master station and the PN slave station for transmitting service data. The target service refers to the service of the network to which it belongs that needs to be configured. Time-related information refers to information that is highly correlated with time; in this application, the time-related information includes the packet sending frequency and / or the packet sending interval duration. The packet sending frequency refers to the packet sending frequency of the data packets of the target service. The packet sending interval duration refers to the time interval between the data packet sending times of two adjacent data packets.

[0057] As an optional implementation of the present application, a collection device is used to obtain time correlation information of a data packet corresponding to the target service at the current moment from the service flow.

[0058] As another optional implementation of the present application, the time association information of the data packets corresponding to each candidate service at the current moment is obtained from the service flow. According to the service identifier of the target service, the time association information of the data packets corresponding to the target service is obtained from the time association information of the data packets corresponding to each candidate service. The service identifier may be an IP address, MAC address or other unique identifier corresponding to the target service.

[0059] As another optional implementation of the embodiment of the present application, the time correlation information of the data packet corresponding to the target service is obtained from the service flow through the first neural network. Among them, the first neural network adopts but is not limited to the CNN (Convolutional Neural Network) neural network. Specifically, the data packets and related parameters (including data packet length, packet transmission frequency, packet transmission interval duration, port, priority, IP, MAC and other related parameters) in the service flow are captured by the OLT device. And the relevant parameters are converted into corresponding communication tensors, and the communication tensors are input into the CNN neural network. The CNN network processes the timing data of each data packet through a sliding window, and divides the timing data into multiple fixed-length segments, each of which is equivalent to a pseudo image. Use a one-dimensional convolution layer to slide the convolution kernel on the one-dimensional data (because the selected parameters corresponding to the data packet are related to the PLC service, and the business changes within a fixed period have a certain regularity), and the relevant parameters of the data packet and the corresponding PLC cycle are discovered. The time-series dependency relationship in time, and then the time correlation information of the data packet corresponding to the target service is obtained, that is, parameter information with a relatively strong time-series dependency relationship in time.

[0060] S202: Determine target delay jitter information of the target service according to the time correlation information.

[0061] The target delay jitter information is the jitter information of the target service in terms of delay.

[0062] As an optional implementation of the embodiment of the present application, the time correlation information is input into a neural network model, and the neural network model determines the target delay jitter information of the target service based on the time correlation information. The neural network model may be an LSTM neural network model.

[0063] Another optional implementation of the embodiment of the present application is to obtain the delay information between the data packets of the target service according to the time correlation information, determine the delay variation information according to the delay information between each data packet, and use the delay variation information as the target delay jitter information of the target service.

[0064] S203: Configure a communication network corresponding to the target service according to the target delay jitter information and the time correlation information.

[0065] Optionally, in this embodiment, the configuration requirement may be determined according to the time association information, the configuration information may be determined according to the configuration requirement and the target delay jitter information, and the communication network corresponding to the target service may be configured according to the configuration information.

[0066] The above-mentioned network configuration method obtains the time correlation information of the data packet corresponding to the target service at the current moment from the service flow. According to the time correlation information, the target delay jitter information of the target service is determined. According to the target delay jitter information and the time correlation information, the communication network corresponding to the target service is configured. The present application obtains the time correlation information of the data packet corresponding to the target service at the current moment from the service flow. And according to the time correlation information of the data packet corresponding to the target service at the current moment, the target delay jitter information of the target service is automatically determined. And according to the target delay jitter information and the time correlation information, the communication network corresponding to the target service is automatically configured, without manual participation, and without the need to install additional hardware equipment, which not only effectively improves the efficiency and accuracy of network configuration, but also reduces the cost of network configuration.

[0067] In one embodiment, in order to more accurately determine the target delay jitter information of the target service, such as Figure 3 As shown, an optional implementation of S202 includes:

[0068] S301, obtaining data packet receiving times of a preset number of consecutive data packets corresponding to target services before a current moment.

[0069] The preset number refers to a preset number, for example, 9. Taking 9 as an example, obtaining the data packet receiving time of the data packets corresponding to the preset number of target services before the current moment means that the data packet receiving time of the data packets corresponding to the 9 consecutive target services before the current moment needs to be obtained.

[0070] Optionally, in this embodiment, when obtaining data packets corresponding to the target service, the data packet reception time of each data packet is automatically recorded.

[0071] S302: Determine target delay jitter information of a target service according to the reception time and time correlation information of each data packet.

[0072] As an optional implementation of the embodiment of the present application, according to the reception time of each data packet, the actual interval duration of the data packets between adjacent data packets is determined, and then according to the actual interval duration of the data packets, the actual packet sending frequency of the data packets is determined, and according to the actual packet sending frequency of the data packets and the packet sending frequency of the data packets in the time association information, the target delay jitter information of the target service is determined. Specifically, the ratio of the actual packet sending frequency of the data packets to the packet sending frequency of the data packets is used as the target delay jitter information of the target service.

[0073] As another optional implementation of the embodiment of the present application, according to the reception time of each data packet, the actual interval time of the data packets between adjacent data packets is determined, and according to the actual interval time of each data packet and the packet transmission interval time in the time association information, the target delay jitter information of the target service is determined. Exemplarily, taking the determination of the target delay jitter information between the first data packet and the second data packet as an example, assuming that the actual data packet interval time of the first data packet (i.e., the difference between the data packet reception time of the first data packet and the data packet reception time of the previous data packet) is t1, the actual data packet interval time of the second data packet (i.e., the difference between the data packet reception time of the second data packet and the data packet reception time of the first data packet) is t2, and the packet transmission interval time is t, the target delay jitter information between the first data packet and the second data packet is (t2-t) / (t1-t), and so on, until the target delay jitter information of the data packets corresponding to the preset number of target services is calculated. If the preset number is 9, it is necessary to calculate the target delay jitter information between the 9 data packets and the previous data packet respectively.

[0074] As another optional implementation of the embodiment of the present application, the historical delay jitter information of the target service is determined according to the reception time and time association information of each data packet. Based on the second neural network, the future delay jitter information of the target service in the future time period is predicted according to the historical delay jitter information. The future delay jitter information is used as the target delay jitter information of the target service. Exemplarily, the method for determining the historical delay jitter information of the target service can refer to the implementation method of determining the target delay jitter information in the above embodiment, and will not be repeated again. Exemplarily, based on the second neural network, according to the historical delay jitter information, the optional implementation method of predicting the future delay jitter information of the target service in the future time period is, assuming that the historical delay jitter information of the preset number (for example, 9) of target services has been calculated respectively as recorded in the above embodiment (each historical delay jitter information is the delay jitter information between the corresponding data packet and the previous data packet), at this time, the historical delay jitter information of the preset number (for example, 9) of target services can be input into the second neural network, and the second neural network predicts the future delay jitter information between the 10th (that is, the data packet at the current moment and the next data packet (that is, the future data packet)). The second neural network may be a LSTM (Long Short-Term Memory) neural network.

[0075] In this embodiment, the data packet receiving times of the data packets corresponding to the preset number of consecutive target services before the current time are obtained. According to the receiving time of each data packet and the time correlation information, the target delay jitter information of the target service can be determined more accurately.

[0076] In one embodiment, in order to more accurately configure the communication network corresponding to the target service, such as Figure 4 As shown, an optional implementation of S203 includes:

[0077] S401, determining the expected delay accuracy of the target service according to the time association information.

[0078] The expected delay accuracy refers to the expected delay accuracy.

[0079] As an optional implementation of the embodiment of the present application, based on the first delay list, according to the packet sending frequency, the expected delay accuracy of the target service is determined. Among them, the first delay list records the mapping relationship between the packet sending frequency and the expected delay accuracy. Generally speaking, the higher the packet sending frequency, the higher the expected accuracy of the delay. In order to meet such requirements, it is generally configured that the higher the packet sending frequency, the higher the corresponding expected delay accuracy.

[0080] As another optional implementation of the embodiment of the present application, based on the second delay list, according to the packet sending interval duration, the expected delay accuracy of the target service is determined. The second delay list records the mapping relationship between the packet sending interval duration and the expected delay accuracy.

[0081] S402: Configure a communication network corresponding to a target service according to expected delay accuracy and target delay jitter information.

[0082] Optionally, in this embodiment, the target configuration information of the communication network is determined according to the expected delay accuracy and target delay jitter information, as well as the current network configuration information and network resource usage of the communication network corresponding to the target service. Based on the target configuration information, the communication network is configured. In this embodiment, the expected delay accuracy and target delay jitter information, as well as the current network configuration information and network resource usage of the communication network corresponding to the target service can be input into a configuration query tool, and the configuration query tool determines the target configuration information based on the above requirements. Among them, the configuration query tool can be an existing network configuration software or a trained neural network model. Based on the above requirements (i.e., the expected delay accuracy and target delay jitter information, as well as the current network configuration information and network resource usage of the communication network corresponding to the target service), the target configuration information that is more suitable for the current communication network can be determined.

[0083] In this embodiment, the expected delay accuracy of the target service is determined based on the time association information. According to the expected delay accuracy and the target delay jitter information, the communication network corresponding to the target service is configured so that the configured communication network can better meet the service transmission requirements of the target service in terms of delay and delay jitter, and effectively reduce the adverse effects of delay jitter on the target service.

[0084] In one embodiment, if Figure 5 As shown, another optional implementation of a network configuration method includes:

[0085] S501, obtaining time-related information of a data packet corresponding to a target service from a service flow through a first neural network, wherein the time-related information includes a packet transmission frequency and / or a packet transmission interval duration.

[0086] S502, obtaining the data packet receiving time of a preset number of consecutive data packets corresponding to the target services before the current time.

[0087] S503: Determine historical delay jitter information of the target service according to the reception time of each data packet and the time correlation information.

[0088] S504: Based on the second neural network and according to the historical delay jitter information, predict the future delay jitter information of the target service in the future period.

[0089] S505: Use the future delay jitter information as the target delay jitter information of the target service.

[0090] S506: Determine the expected delay accuracy of the target service according to the time association information.

[0091] S507 , determining target configuration information of the communication network according to the expected delay accuracy and target delay jitter information, as well as the current network configuration information and network resource usage of the communication network corresponding to the target service.

[0092] S508: Configure the communication network based on the target configuration information.

[0093] In this embodiment, the time correlation information of the data packet corresponding to the target service at the current moment is obtained from the service flow. Based on the time correlation information, the target delay jitter information of the target service is determined. Based on the target delay jitter information and the time correlation information, the communication network corresponding to the target service is configured. The present application obtains the time correlation information of the data packet corresponding to the target service at the current moment from the service flow. And based on the time correlation information of the data packet corresponding to the target service at the current moment, the target delay jitter information of the target service is automatically determined. And based on the target delay jitter information and the time correlation information, the communication network corresponding to the target service is automatically configured, without manual participation, and without the need to install additional hardware equipment, which not only effectively improves the efficiency and accuracy of network configuration, but also reduces the cost of network configuration.

[0094] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0095] Based on the same inventive concept, the embodiment of the present application also provides a network configuration device for implementing the network configuration method involved above. The implementation solution provided by the device to solve the problem is similar to the implementation solution recorded in the above method, so the specific limitations in one or more network configuration device embodiments provided below can refer to the limitations on the network configuration method above, and will not be repeated here.

[0096] In one embodiment, by Figure 6 FIG. 2 shows a structural block diagram of a network configuration device in an embodiment. Figure 6 As shown, a network configuration device 1 is provided, the device comprising: an acquisition module 10, a determination module 20 and a configuration module 30, wherein:

[0097] The acquisition module 10 is used to acquire the time association information of the data packet corresponding to the target service at the current moment from the service flow;

[0098] A determination module 20, configured to determine target delay jitter information of a target service according to the time association information;

[0099] The configuration module 30 is used to configure the communication network corresponding to the target service according to the target delay jitter information and the time correlation information.

[0100] In one embodiment, the time-related information includes a packet transmission frequency and / or a packet transmission interval duration.

[0101] In one embodiment, the above Figure 6 The determining module 20 is further specifically used for:

[0102] Obtaining the data packet receiving time of a preset number of consecutive data packets corresponding to target services before the current time;

[0103] The target delay jitter information of the target service is determined according to the reception time and time correlation information of each data packet.

[0104] In one embodiment, the above Figure 6 The determining module 20 is further specifically used for:

[0105] Determine the historical delay jitter information of the target service based on the reception time and time correlation information of each data packet;

[0106] Based on the second neural network, according to the historical delay jitter information, the future delay jitter information of the target service in the future period is predicted;

[0107] The future delay jitter information is used as the target delay jitter information of the target service.

[0108] In one embodiment, the above Figure 6 The configuration module 30 is also specifically used for:

[0109] Determine the expected delay accuracy of the target service based on the time correlation information;

[0110] Configure the communication network corresponding to the target service based on the expected delay accuracy and target delay jitter information.

[0111] In one embodiment, the above Figure 6The configuration module 30 is also specifically used for:

[0112] Determine target configuration information of the communication network according to expected delay accuracy and target delay jitter information, as well as current network configuration information and network resource usage of the communication network corresponding to the target service;

[0113] Based on the target configuration information, the communication network is configured.

[0114] In one embodiment, the above Figure 6 The acquisition module 10 is also specifically used for:

[0115] The time correlation information of the data packet corresponding to the target service is obtained from the service flow through the first neural network.

[0116] Each module in the above network configuration device can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0117] In one embodiment, a computer device is provided. The computer device may be a platform side, and its internal structure diagram may be as shown in FIG. Figure 7 As shown. The computer device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store business flow related information. The network interface of the computer device is used to communicate with an external user side through a network connection. When the computer program is executed by the processor, a network configuration method is implemented.

[0118] Those skilled in the art will understand that Figure 7 The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. Specifically, the computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0119] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0120] Obtaining time association information of the data packet corresponding to the target service at the current moment from the service flow;

[0121] Determine target delay jitter information of the target service based on the time correlation information;

[0122] Configure the communication network corresponding to the target service according to the target delay jitter information and time correlation information.

[0123] In one embodiment, when the processor executes the computer program, the following steps are further implemented: the time-related information includes the packet transmission frequency and / or the packet transmission interval duration.

[0124] In one embodiment, when the processor executes the computer program, the following steps are further implemented: determining target delay jitter information of the target service according to the time association information, including:

[0125] Obtaining the data packet receiving time of a preset number of consecutive data packets corresponding to target services before the current time;

[0126] The target delay jitter information of the target service is determined according to the reception time and time correlation information of each data packet.

[0127] In one embodiment, when the processor executes the computer program, the following steps are further implemented: determining target delay jitter information of the target service according to the reception time and time association information of each data packet, including:

[0128] Determine the historical delay jitter information of the target service based on the reception time and time correlation information of each data packet;

[0129] Based on the second neural network, according to the historical delay jitter information, the future delay jitter information of the target service in the future period is predicted;

[0130] The future delay jitter information is used as the target delay jitter information of the target service.

[0131] In one embodiment, when the processor executes the computer program, the following steps are further implemented: configuring a communication network corresponding to the target service according to the target delay jitter information and the time association information, including:

[0132] Determine the expected delay accuracy of the target service based on the time correlation information;

[0133] Configure the communication network corresponding to the target service based on the expected delay accuracy and target delay jitter information.

[0134] In one embodiment, when the processor executes the computer program, the following steps are further implemented: configuring a communication network corresponding to a target service according to the expected delay accuracy and the target delay jitter information, including:

[0135] Determine target configuration information of the communication network according to expected delay accuracy and target delay jitter information, as well as current network configuration information and network resource usage of the communication network corresponding to the target service;

[0136] Based on the target configuration information, the communication network is configured.

[0137] In one embodiment, when the processor executes the computer program, the following steps are further implemented: obtaining time association information of a data packet corresponding to the target service at the current moment from the service flow, including:

[0138] The time correlation information of the data packet corresponding to the target service is obtained from the service flow through the first neural network.

[0139] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0140] Obtaining time association information of the data packet corresponding to the target service at the current moment from the service flow;

[0141] Determine target delay jitter information of the target service based on the time correlation information;

[0142] Configure the communication network corresponding to the target service according to the target delay jitter information and time correlation information.

[0143] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: the time-related information includes a packet transmission frequency and / or a packet transmission interval duration.

[0144] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: determining target delay jitter information of the target service according to the time association information, including:

[0145] Obtaining the data packet receiving time of a preset number of consecutive data packets corresponding to target services before the current time;

[0146] The target delay jitter information of the target service is determined according to the reception time and time correlation information of each data packet.

[0147] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: determining target delay jitter information of the target service according to the reception time and time association information of each data packet, including:

[0148] Determine the historical delay jitter information of the target service based on the reception time and time correlation information of each data packet;

[0149] Based on the second neural network, according to the historical delay jitter information, the future delay jitter information of the target service in the future period is predicted;

[0150] The future delay jitter information is used as the target delay jitter information of the target service.

[0151] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: configuring a communication network corresponding to the target service according to the target delay jitter information and the time association information, including:

[0152] Determine the expected delay accuracy of the target service based on the time correlation information;

[0153] Configure the communication network corresponding to the target service based on the expected delay accuracy and target delay jitter information.

[0154] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: configuring a communication network corresponding to a target service according to the expected delay accuracy and the target delay jitter information, including:

[0155] Determine target configuration information of the communication network according to expected delay accuracy and target delay jitter information, as well as current network configuration information and network resource usage of the communication network corresponding to the target service;

[0156] Based on the target configuration information, the communication network is configured.

[0157] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: obtaining time association information of a data packet corresponding to the target service at the current moment from the service flow, including:

[0158] The time correlation information of the data packet corresponding to the target service is obtained from the service flow through the first neural network.

[0159] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0160] Obtaining time association information of the data packet corresponding to the target service at the current moment from the service flow;

[0161] Determine target delay jitter information of the target service based on the time correlation information;

[0162] Configure the communication network corresponding to the target service according to the target delay jitter information and time correlation information.

[0163] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: the time-related information includes a packet transmission frequency and / or a packet transmission interval duration.

[0164] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: determining target delay jitter information of the target service according to the time association information, including:

[0165] Obtaining the data packet receiving time of a preset number of consecutive data packets corresponding to target services before the current time;

[0166] The target delay jitter information of the target service is determined according to the reception time and time correlation information of each data packet.

[0167] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: determining target delay jitter information of the target service according to the reception time and time association information of each data packet, including:

[0168] Determine the historical delay jitter information of the target service based on the reception time and time correlation information of each data packet;

[0169] Based on the second neural network, according to the historical delay jitter information, the future delay jitter information of the target service in the future period is predicted;

[0170] The future delay jitter information is used as the target delay jitter information of the target service.

[0171] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: configuring a communication network corresponding to the target service according to the target delay jitter information and the time association information, including:

[0172] Determine the expected delay accuracy of the target service based on the time correlation information;

[0173] Configure the communication network corresponding to the target service based on the expected delay accuracy and target delay jitter information.

[0174] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: configuring a communication network corresponding to a target service according to the expected delay accuracy and the target delay jitter information, including:

[0175] Determine target configuration information of the communication network according to expected delay accuracy and target delay jitter information, as well as current network configuration information and network resource usage of the communication network corresponding to the target service;

[0176] Based on the target configuration information, the communication network is configured.

[0177] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: obtaining time association information of a data packet corresponding to the target service at the current moment from the service flow, including:

[0178] The time correlation information of the data packet corresponding to the target service is obtained from the service flow through the first neural network.

[0179] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0180] The technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0181] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A network configuration method, characterized in that: The method comprises: Obtaining time association information of the data packet corresponding to the target service at the current moment from the service flow; Determining target delay jitter information of the target service according to the time association information; A communication network corresponding to the target service is configured according to the target delay jitter information and the time association information.

2. The method according to claim 1, characterized in that The time-related information includes a packet transmission frequency and / or a packet transmission interval duration.

3. The method according to claim 2, characterized in that The determining, according to the time association information, target delay jitter information of the target service includes: Obtaining data packet receiving times of a preset number of consecutive data packets corresponding to the target service before the current time; The target delay jitter information of the target service is determined according to the reception time of each data packet and the time association information.

4. The method according to claim 3, characterized in that Determining target delay jitter information of the target service according to the reception time of each data packet and the time association information includes: Determine the historical delay jitter information of the target service according to the reception time of each data packet and the time association information; Based on the second neural network, predicting the future delay jitter information of the target service in a future period according to the historical delay jitter information; The future delay jitter information is used as the target delay jitter information of the target service.

5. The method according to claim 1, characterized in that The configuring the communication network corresponding to the target service according to the target delay jitter information and the time association information includes: Determining the expected delay accuracy of the target service according to the time association information; A communication network corresponding to the target service is configured according to the expected delay accuracy and the target delay jitter information.

6. The method according to claim 5, characterized in that The configuring the communication network corresponding to the target service according to the expected delay accuracy and the target delay jitter information includes: Determine target configuration information of the communication network according to the expected delay accuracy and the target delay jitter information, as well as current network configuration information and network resource usage of the communication network corresponding to the target service; The communication network is configured based on the target configuration information.

7. The method according to claim 1, characterized in that The step of obtaining the time association information of the data packet corresponding to the target service at the current moment from the service flow includes: The time correlation information of the data packet corresponding to the target service is obtained from the service flow through the first neural network.

8. A network configuration device, characterized in that: The device comprises: An acquisition module is used to acquire time-related information of a data packet corresponding to a target service at the current moment from a service flow; A determination module, used to determine target delay jitter information of the target service according to the time association information; A configuration module is used to configure the communication network corresponding to the target service according to the target delay jitter information and the time association information.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

11. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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