Traffic scheduling simulation method and device, equipment and storage medium

Abstract

The invention discloses a traffic scheduling simulation method and device, equipment and a storage medium, and the method comprises the steps: obtaining a target traffic simulation model based on preset configuration parameters; respectively importing target traffic into the target traffic simulation model and target traffic processing equipment to obtain target simulation network data and target actual network data; under the condition that a target data deviation exists between the target simulation network data and the target actual network data and the target data deviation is not within a first preset deviation range, obtaining link simulation network data of each link in the target traffic simulation model and link actual network data of each link in the target traffic processing equipment; determining an abnormal link from the plurality of links based on the link simulation network data and the link actual network data of each link; and correcting a preset configuration parameter corresponding to the abnormal link. It can be guaranteed that the configured simulation parameters are highly matched with the hardware environment of the equipment.

Description

Technical Field

[0001] The present application relates to the field of vehicle-mounted Ethernet development, and in particular to a traffic scheduling simulation method, device, equipment and storage medium. Background Art

[0002] To ensure the latency determinism of TT (Time-Triggered) flows, the TSN (Time-Sensitive Networking) working group proposed the IEEE802.1Qbv standard, which uses time-aware shaping (TAS) and gate control list (GCL) to allocate exclusive transmission time windows to the queue to which the TT flow belongs.

[0003] In the prior art, the transmission simulation of the target traffic containing the TT flow generally involves first determining the preset parameters, and simulating the target traffic in the simulation model established based on the preset parameters, thereby obtaining the simulation result of the target traffic in the simulation model; at the same time, a gating list is generated based on the preset parameters and configured in the hardware device to perform hardware verification on the target traffic, thereby obtaining the hardware verification result. In the case where there is a deviation between the hardware verification result and the simulation result, the deviation can generally be eliminated by randomly and repeatedly adjusting the preset parameters, but the method of randomly and repeatedly adjusting the preset parameters has the problems of inaccurate parameter adjustment and low parameter adjustment efficiency. Summary of the invention

[0004] In order to solve the above problems, the present application discloses a traffic scheduling simulation method, device, equipment and storage medium, which obtains a target traffic simulation model through preset configuration parameters, and imports the target traffic into the target traffic simulation model and the target traffic processing device respectively, to obtain the target simulation network data of the target traffic in the target traffic simulation model and the target actual network data in the target traffic processing device; when there is a target data deviation between the target simulation network data and the target actual network data and the target data deviation is not within the first preset deviation range, the link simulation network data of each link of the target traffic in the target traffic simulation model and the link actual network data of each link in the target traffic processing device are obtained, so as to determine the abnormal link, and analyze the abnormal link, so as to correct the preset configuration parameters. By comparing and analyzing the target simulation network data of the target traffic in the target traffic simulation model and the target actual network data of the target traffic in the target traffic processing device, the abnormal link is determined, and the corresponding preset configuration parameters are adjusted based on the abnormal link, so as to improve the adjustment efficiency of the preset configuration parameters, and at the same time make the preset configuration parameters and the simulation model highly adaptable to the hardware environment of the device.

[0005] In order to achieve the above-mentioned object of the invention, the present application provides a traffic scheduling simulation method, the method comprising:

[0006] The preset traffic simulation model is configured based on preset configuration parameters to obtain a target traffic simulation model; the target traffic simulation model includes multiple links, and the preset configuration parameters represent the gating information of each link in the target traffic simulation model;

[0007] Importing the target traffic into the target traffic simulation model and the target traffic processing device respectively, obtaining the target simulation network data corresponding to the target traffic simulation model and the target actual network data corresponding to the target traffic processing device;

[0008] When there is a target data deviation between the target simulated network data and the target actual network data, and the target data deviation is not within a first preset deviation range, obtaining link simulated network data of each link in the target traffic simulation model and link actual network data of each link in the target traffic processing device;

[0009] Based on the link simulation network data of each link and the link actual network data of each link, determining an abnormal link from the multiple links; the link data deviation between the link simulation network data of the abnormal link and the link actual network data of the abnormal link is not within a second preset deviation range;

[0010] The preset configuration parameters corresponding to the abnormal link are modified.

[0011] In some embodiments, the method further comprises:

[0012] Obtaining a flow transmission period of a plurality of preset flows, a flow size of the plurality of preset flows, and a flow priority of the plurality of preset flows;

[0013] Based on the traffic transmission periods of the multiple preset traffic flows, the traffic sizes of the multiple preset traffic flows, and the traffic priorities of the multiple preset traffic flows, the multiple preset traffic flows are configured to obtain the target traffic flow.

[0014] In some embodiments, the preset configuration parameters include a network structure of a traffic transmission network, network routing information of the traffic transmission network, a target delay of the traffic transmission network, expected network data of the traffic transmission network, and transmission configuration information of the plurality of links; the traffic transmission network is formed based on the plurality of links;

[0015] The configuring of the preset traffic simulation model based on the preset configuration parameters to obtain the target traffic simulation model includes:

[0016] Based on the network structure of the traffic transmission network, the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, and the transmission configuration information of the multiple links, the preset traffic simulation model is configured to obtain the target traffic simulation model; the preset traffic simulation model matches the traffic transmission network.

[0017] In some implementations, the preset configuration parameters also include a buffer size of the target traffic processing device and a port memory of the target traffic processing device;

[0018] The method further comprises:

[0019] The preset traffic simulation model is configured based on the buffer size of the target traffic processing device and the port memory of the target traffic processing device to obtain the target traffic simulation model.

[0020] In some implementations, the modifying the preset configuration parameters corresponding to the abnormal link includes:

[0021] Acquire the actual network data of the link and the simulated network data of the link corresponding to the target flow in the abnormal link;

[0022] Based on the actual network data of the link and the simulated network data of the link, the network structure of the traffic transmission network, the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, and the transmission configuration information of the multiple links are corrected.

[0023] In some implementations, the modifying of the network structure of the traffic transmission network, the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, and the transmission configuration information of the multiple links based on the actual network data of the link and the simulated network data of the link includes:

[0024] Determine a current parameter to be corrected; the current parameter to be corrected is any parameter of the network structure of the traffic transmission network, the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, and the transmission configuration information of the multiple links;

[0025] Performing parameter correction on the current parameter to be corrected to obtain a target correction parameter;

[0026] The preset flow simulation model is configured based on the target correction parameter to obtain a simulation model to be corrected;

[0027] Importing the target traffic into the simulation model to be corrected to obtain the simulation network data to be corrected corresponding to the simulation model to be corrected;

[0028] When the current data deviation between the simulated network data to be corrected and the target actual network data is less than the target data deviation, updating the target correction parameter to the current parameter to be corrected;

[0029] Repeat the steps of: determining the current parameter to be corrected, until the data deviation between the simulated network data to be corrected and the target actual network data is less than the target data deviation, and updating the target correction parameter to the current parameter to be corrected; until the data deviation between the current data deviation and the previous data deviation corresponding to the previous cycle is less than the first data deviation;

[0030] It is determined that the correction of the current parameter to be corrected is completed, and a correction result of the current parameter to be corrected is obtained.

[0031] In some embodiments, the method further comprises:

[0032] Obtaining the preset configuration parameters;

[0033] Generate a target gating list based on the preset configuration parameters, and import the target gating list into a file to generate a target file;

[0034] Acquire a preset protocol and a file format of the target file; the preset protocol is used to guide the configuration of the target file into the target traffic processing device;

[0035] When the file format of the target file meets the format requirement of the preset protocol, configuring the target file into the target traffic processing device;

[0036] In the case that the file format of the target file does not meet the format requirement of the preset protocol, the file format of the target file is converted, and the converted target file is configured in the target traffic processing device.

[0037] The present application also provides a traffic scheduling simulation device, the traffic scheduling simulation device comprising:

[0038] A target traffic simulation model determination module is used to configure a preset traffic simulation model based on preset configuration parameters to obtain a target traffic simulation model; the target traffic simulation model includes multiple links, and the preset configuration parameters represent the gating information of each link in the target traffic simulation model;

[0039] The overall data acquisition module is used to import the target traffic into the target traffic simulation model and the target traffic processing device respectively, and obtain the target simulation network data corresponding to the target traffic simulation model and the target actual network data corresponding to the target traffic processing device;

[0040] A link data acquisition module, used to acquire the link simulation network data of each link in the target traffic simulation model and the link actual network data of each link in the target traffic processing device when there is a target data deviation between the target simulation network data and the target actual network data, and the target data deviation is not within a first preset deviation range;

[0041] an abnormal link determination module, configured to determine an abnormal link from the plurality of links based on the link simulation network data of each link and the link actual network data of each link; the link data deviation between the link simulation network data of the abnormal link and the link actual network data of the abnormal link is not within a second preset deviation range;

[0042] The preset configuration parameter correction module is used to correct the preset configuration parameters corresponding to the abnormal link.

[0043] The present application also provides an electronic device, which includes a processor and a memory, wherein the memory stores at least one instruction or at least one program, and the at least one instruction or the at least one program is loaded by the processor and executes the above-mentioned traffic scheduling simulation method.

[0044] The present application also provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are executed by a processor, the above-mentioned traffic scheduling simulation method is implemented.

[0045] By implementing the embodiments of the present application, the following beneficial effects can be achieved:

[0046] The embodiment of this specification obtains the target traffic simulation model through preset configuration parameters, and imports the target traffic into the target traffic simulation model and the target traffic processing device respectively, to obtain the target simulation network data of the target traffic in the target traffic simulation model and the target actual network data in the target traffic processing device; when there is a target data deviation between the target simulation network data and the target actual network data and the target data deviation is not within the first preset deviation range, the link simulation network data of each link of the target traffic in the target traffic simulation model and the link actual network data of each link in the target traffic processing device are obtained, so as to determine the abnormal link, and analyze the abnormal link, so as to correct the preset configuration parameters. By comparing and analyzing the target simulation network data of the target traffic in the target traffic simulation model and the target actual network data of the target traffic in the target traffic processing device, the abnormal link is determined, and the corresponding preset configuration parameters are adjusted based on the abnormal link, so as to improve the adjustment efficiency of the preset configuration parameters, and at the same time make the preset configuration parameters and the simulation model highly adaptable to the hardware environment of the device. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the traffic scheduling simulation method, device, equipment and storage medium described in the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. Obviously, the drawings described below are only some embodiments recorded in the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0048] Figure 1 It is a flow chart of a traffic scheduling simulation method provided in an embodiment of the present application;

[0049] Figure 2 It is a flowchart of a method for configuring a target flow processing device provided in an embodiment of the present application;

[0050] Figure 3 It is a flowchart of a method for correcting preset configuration parameters provided in an embodiment of the present application;

[0051] Figure 4 It is a structural diagram of a traffic scheduling simulation device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0052] In order to enable those skilled in the art to better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

[0053] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the information used in this way can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices.

[0054] At present, the exclusive transmission time window allocated to the queue to which the TT flow belongs is mainly carried out by using time-aware shaping and gating lists. In the prior art, the transmission simulation of the target traffic containing the TT flow generally first determines the preset parameters, and simulates the target traffic in the simulation model established based on the preset parameters, thereby obtaining the simulation result of the target traffic in the simulation model; at the same time, the gating list is generated based on the preset parameters and configured in the hardware device to perform hardware verification on the target traffic to obtain the hardware verification result. In the case where there is a deviation between the hardware verification result and the simulation result, the deviation can generally be eliminated by randomly and repeatedly adjusting the preset parameters, but the method of randomly and repeatedly adjusting the preset parameters has the problems of inaccurate parameter adjustment and low parameter adjustment efficiency.

[0055] See also Figure 1 , which shows a flow chart of a traffic scheduling simulation method provided by an embodiment of the present application. This specification provides the method operation steps described in the embodiment or flow chart. The order of steps listed in the embodiment is only one way of executing the steps among many steps, and does not represent the only execution order. The traffic scheduling simulation method can be executed in the order of the method shown in the embodiment or the accompanying drawings. Specifically, Figure 1 As shown, the method may include the following steps:

[0056] S101: configuring a preset traffic simulation model based on preset configuration parameters to obtain a target traffic simulation model; the target traffic simulation model includes multiple links, and the preset configuration parameters represent gating information of each link in the target traffic simulation model;

[0057] In this embodiment, the preset configuration parameters may include a preset scheduling algorithm and a preset scheduling strategy, wherein the preset scheduling algorithm may include Satisfiability Modulo Theories (SMT), integer linear programming (ILP), and heuristic algorithms; the preset scheduling strategy may include FIFO (First In First Out) and RR (Round Robin). In addition, the preset configuration parameters may also include the network structure of the traffic transmission network, the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, and the configuration information of each link; it may also include the cache size of the target traffic processing device and the port memory of the target traffic processing device. Configuring the preset traffic simulation model based on the above-mentioned preset configuration parameters can obtain a target simulation traffic model, wherein the target traffic simulation model includes multiple links for target traffic transmission, the gating information of each link is determined based on the preset configuration parameters, and the traffic transmission network is formed based on the multiple links.

[0058] In some exemplary embodiments, the method further comprises:

[0059] Obtaining a flow transmission period of a plurality of preset flows, a flow size of the plurality of preset flows, and a flow priority of the plurality of preset flows;

[0060] Based on the traffic transmission periods of the multiple preset traffic flows, the traffic sizes of the multiple preset traffic flows, and the traffic priorities of the multiple preset traffic flows, the multiple preset traffic flows are configured to obtain the target traffic flow.

[0061] In the above exemplary embodiment, specifically, the traffic information of multiple preset traffic flows is first obtained, and the above traffic information includes the traffic transmission period, traffic size, and traffic priority of multiple preset traffic flows. According to the above traffic information, the configured multiple preset traffic flows are determined as the target traffic flows. Among them, the traffic transmission period of multiple preset traffic flows can be the same or different, the traffic size can be the same or different, and the traffic priority can be the same or different. For example, the number of preset traffic flows is 3, including TT frames (time-triggered data flow), type 0x88d7, the highest priority; RC frames (Rate-constrained, rate-constrained data flow), type 0x0888, second priority; BE frames (Best-effort, best-effort data flow), type 0x0800, the lowest priority.

[0062] By obtaining the flow information of multiple flows and determining the target flow based on the flow information, the rationality of the target flow selection can be guaranteed and the influence of other flows can be eliminated, thereby ensuring the simulation of the target flow required by the user and improving the accuracy of the flow scheduling simulation.

[0063] In some exemplary embodiments, the preset configuration parameters include a network structure of a traffic transmission network, network routing information of the traffic transmission network, a target delay of the traffic transmission network, expected network data of the traffic transmission network, and transmission configuration information of the plurality of links; the traffic transmission network is formed based on the plurality of links;

[0064] The configuring of the preset traffic simulation model based on the preset configuration parameters to obtain the target traffic simulation model includes:

[0065] Based on the network structure of the traffic transmission network, the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, and the transmission configuration information of the multiple links, the preset traffic simulation model is configured to obtain the target traffic simulation model; the preset traffic simulation model matches the traffic transmission network.

[0066] In the above exemplary embodiments, specifically, the traffic transmission network is formed by multiple links, and the network structure of the traffic transmission network represents the network topology path formed by multiple links when the target traffic is transmitted; the network routing information is the path information guiding the forwarding of the target traffic; the target delay represents the ideal delay of the traffic transmission network expected by the user, and the target delay can be 0; the expected network data may include the sending phase of the target traffic, which represents the sending time of the target traffic; the transmission configuration information of multiple links may include clock synchronization information and gating switch information, which represents the rule information followed by the target traffic during the transmission process.

[0067] By obtaining the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, and the transmission configuration information of multiple links, we ensure that the impact of multiple parameter factors on the simulation can be fully considered, avoiding inaccurate simulation results caused by considering only a single factor, thereby improving the accuracy of the preset configuration parameters.

[0068] In some exemplary embodiments, the preset configuration parameters also include a buffer size of the target traffic processing device and a port memory of the target traffic processing device;

[0069] The method further comprises:

[0070] The preset traffic simulation model is configured based on the buffer size of the target traffic processing device and the port memory of the target traffic processing device to obtain the target traffic simulation model.

[0071] In the above exemplary embodiment, specifically, the target traffic processing device includes a switch, and the buffer area in the target traffic processing device represents bandwidth information, which can prevent packet loss caused by congestion due to burst traffic, and obtaining the buffer area size can ensure that the target traffic is reduced or prevented from packet loss during transmission; the port memory represents the data exchange capability of the target traffic processing device, and the port memory may include flash memory (Flash) and random access memory (RAM). The buffer area size and port memory vary depending on the switch model and application scenario.

[0072] By taking the buffer size of the target traffic processing device and the port memory of the target traffic processing device as part of the preset configuration parameters, the parameter characteristics of the hardware device are fully considered, thereby reducing or even avoiding packet loss and delay in the target traffic during transmission. This can improve the adaptability of the simulation results to the hardware device environment when simulating based on the preset configuration parameters, thereby ensuring the transmission effect.

[0073] S103: importing the target traffic into the target traffic simulation model and the target traffic processing device respectively, to obtain target simulation network data corresponding to the target traffic simulation model and target actual network data corresponding to the target traffic processing device;

[0074] In this embodiment, the target traffic is imported into the target traffic simulation model to obtain target simulation network data of the target traffic in the target traffic simulation model, and the target simulation network data characterizes the transmission characteristics of the target traffic simulation model; the target traffic is imported into the target traffic processing device to obtain target actual network data of the target traffic in the target traffic processing device, and the target actual network data characterizes the transmission characteristics of the target traffic processing device.

[0075] Specifically, the target traffic enters the target traffic simulation model and the target traffic processing device respectively, and is transmitted in the target traffic simulation model and the target traffic processing device according to the preset configuration parameters, so as to obtain the target simulation network data and the target actual network data. Among them, the target simulation network data may include the expected delay and expected jitter of the target traffic; the target actual network data may include the actual delay and actual jitter of the target traffic. It should be noted that the target simulation network data used in the embodiment of the present application is the expected delay of the target traffic, and the target actual network data is the actual delay of the target traffic.

[0076] In some exemplary embodiments, see Figure 2 , which is a flow chart of a method for configuring a target traffic processing device provided in an embodiment of the present application. Figure 2 As shown, the method also includes:

[0077] S201: Acquire the preset configuration parameters;

[0078] Specifically, the preset configuration parameters include the network structure of the traffic transmission network, the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, and the transmission configuration information of multiple links; they also include the cache size of the target traffic processing device and the port memory of the target traffic processing device.

[0079] S203: generating a target gating list based on the preset configuration parameters, and importing the target gating list into a file to generate a target file;

[0080] Specifically, the number of queues required for target traffic transmission and the switching status of each queue gating at different times are analyzed based on the network structure of the traffic transmission network, the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, the transmission configuration information of multiple links, the cache size of the target traffic processing device, and the port memory of the target traffic processing device. Thus, a target gating list is generated based on the number of queues and the switching status of each queue gating at different times. The transmission process of the target traffic in the target traffic processing device is controlled through the above-mentioned target gating list, that is, the target traffic is transmitted based on the designed target gating list, and different traffic priorities in the target traffic enter different queues for transmission.

[0081] S205: Acquire a preset protocol and a file format of the target file; the preset protocol is used to guide the configuration of the target file into the target traffic processing device;

[0082] Specifically, the preset protocol may include the IEEE 802.1QCC (Quantized Communication Channel) protocol. QCC is a component of TSN and is a network management configuration protocol that optimizes real-time transmission by quantifying network resources (such as bandwidth, delay, jitter, and packet loss rate). QCC defines the file format requirements when the gating list is sent to the target traffic processing device.

[0083] S207: When the file format of the target file meets the format requirement of the preset protocol, configuring the target file into the target traffic processing device;

[0084] Specifically, the preset protocol may include one or more file format requirements. If the preset protocol includes one file format requirement, then the file format of the target file must comply with the above file format requirement; or, if the preset protocol includes multiple file format requirements, then the file format of the target file must comply with any one of the multiple file format requirements. At this time, the target file can be configured and sent to the target traffic processing device based on the preset protocol, so that the target traffic processing device transmits the target traffic according to the requirements of the target file and the preset protocol.

[0085] S209: When the file format of the target file does not meet the format requirement of the preset protocol, convert the file format of the target file, and configure the converted target file into the target traffic processing device.

[0086] Specifically, if the file format of the target file is not one or more file formats included in the preset protocol, the file format of the target file is converted to ensure that the file format of the target file meets the preset protocol requirements, so that the target file can be successfully sent to the target traffic processing device.

[0087] The target gating list is solved through preset configuration parameters, and the target gating list is converted into a file format that conforms to the preset protocol, so as to be imported into the target traffic processing device, thereby improving the matching degree among the target gating list, the preset protocol, and the target traffic processing device.

[0088] S105: When there is a target data deviation between the target simulated network data and the target actual network data, and the target data deviation is not within a first preset deviation range, obtaining link simulated network data of each link in the target traffic simulation model and link actual network data of each link in the target traffic processing device;

[0089] In this embodiment, it is first determined whether there is a deviation between the target simulated network data and the target actual network data; if there is a deviation, the target data deviation between the target simulated network data and the target actual network data is calculated, and compared with a first preset deviation range; if the target data deviation is within the first preset deviation range, it indicates that the preset configuration parameters meet the requirements of the target traffic processing device, that is, the preset configuration parameters are the final configuration parameters; if the target data deviation is not within the first preset deviation range, it indicates that the preset configuration parameters do not meet the requirements of the target traffic processing device, and the link is then located, that is, the link simulation network data of each link in the target traffic simulation model and the link actual network data of each link in the target traffic processing device are obtained, and a comparison and analysis is performed again based on the link simulation network data and the link actual network data. It should be noted that the target traffic processing device also includes multiple links, and each link in the target traffic simulation model can be one-to-one corresponding to each link in the target traffic processing device. The target simulation network data consists of the target traffic sending time, the sum of the link simulation network data of multiple links, and the device processing time. Among them, the target traffic sending time is the time required from the sending of the first bit from the device output port to the sending of the last bit. The link simulation data of each link is the time for the target traffic to be transmitted on the link. The device processing time is the time required for the target traffic to enter the device input port and exit the device output port. For example, the target simulated network data is 1ms, the target actual network data is 2ms, and the first preset deviation range is 0-0.6ms. However, there is a deviation between the target simulated network data and the target actual network data, and the deviation value is 1ms, which is not within the preset deviation range, indicating that the preset configuration parameters at this time do not meet the requirements of the target traffic processing device; the link simulation network data and the link actual network data of each link are obtained. For example, if the number of links is 3, the link simulation network data and the link actual network data corresponding to the first link are 0.2ms and 0.25ms respectively, the link simulation network data and the link actual network data corresponding to the second link are 0.2ms and 0.3ms respectively, and the link simulation network data and the link actual network data corresponding to the third link are 0.2ms and 0.28ms respectively.

[0090] S107: determining an abnormal link from the multiple links based on the link simulation network data of each link and the link actual network data of each link; the link data deviation between the link simulation network data of the abnormal link and the link actual network data of the abnormal link is not within a second preset deviation range;

[0091] In this embodiment, it is first determined whether there is a deviation between the link simulation network data of each link and the link actual network data of each link; if there is a deviation, the link data deviation between the link simulation network data of each link and the link actual network data of each link is calculated, and compared with the second preset deviation range; if the link data deviation is within the second preset deviation range, it indicates that there is no abnormality in this link, and if the link data deviation is not within the second preset deviation range, it indicates that there is an abnormality in this link, and the corresponding link is determined as an abnormal link. For example, the number of links is 3, and the second preset deviation range is 0 to 30% of the actual network data of the link. The link simulation network data and the link actual network data corresponding to the first link are 0.2ms and 0.25ms respectively. The second preset deviation range of the first link is 0-0.075ms. The link data deviation of the first link is 0.05ms. Within the second preset deviation range, this link is normal; the link simulation network data and the link actual network data corresponding to the second link are 0.2ms and 0.3ms respectively. The second preset deviation range of the second link is 0-0.09ms. The link data deviation of the second link is 0.1ms, which is not within the second preset deviation range. This link is abnormal; the link simulation network data and the link actual network data corresponding to the third link are 0.2ms and 0.28ms respectively. The second preset deviation range of the third link is 0-0.084ms. The link data deviation of the third link is 0.08ms. Within the second preset deviation range, this link is normal, so the second link is determined to be an abnormal link.

[0092] It should be noted that the first preset deviation range and the second preset deviation range may be the same or different.

[0093] S109: Modify the preset configuration parameters corresponding to the abnormal link.

[0094] In this embodiment, the preset configuration parameters corresponding to the abnormal link are first obtained, and then the corresponding preset configuration parameters are modified.

[0095] In some exemplary embodiments, the modifying the preset configuration parameters corresponding to the abnormal link includes:

[0096] Acquire the actual network data of the link and the simulated network data of the link corresponding to the target flow in the abnormal link;

[0097] Based on the actual network data of the link and the simulated network data of the link, the network structure of the traffic transmission network, the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, and the transmission configuration information of the multiple links are corrected.

[0098] In the above exemplary embodiment, the actual network data of the link and the link simulation network data corresponding to the target traffic in the abnormal link are obtained, so that the deviation of the actual network data of the link and the link simulation network data in the abnormal link can be determined, and according to the deviation, multiple parameters are corrected, that is, the network structure of the traffic transmission network, the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, and the transmission configuration information of multiple links are corrected.

[0099] Beneficial effect: By comparing and analyzing the actual network data of the link corresponding to the target traffic in the abnormal link and the link simulation network data, the data deviation can be clarified, so as to correct one or more parameters in the preset configuration parameters in a targeted manner, thereby improving the accuracy and efficiency of abnormal link positioning, providing a reference for subsequent preset configuration parameter corrections, and ensuring that the preset configuration parameters are corrected to be highly compatible with the device hardware environment.

[0100] In some exemplary embodiments, see Figure 3 , which is a flow chart of a method for modifying preset configuration parameters provided in an embodiment of the present application. Figure 3 As shown, based on the actual network data of the link and the simulated network data of the link, the network structure of the traffic transmission network, the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, and the transmission configuration information of the multiple links are corrected, including:

[0101] S301: Determine a current parameter to be corrected; the current parameter to be corrected is any parameter of the network structure of the traffic transmission network, the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, and the transmission configuration information of the multiple links;

[0102] Specifically, by means of controlling variables, any one of the network structure of the traffic transmission network, the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, and the transmission configuration information of multiple links is corrected, and any one of them is selected as the parameter to be corrected, and the other parameters remain unchanged.

[0103] S303: Correct the current parameter to be corrected to obtain a target correction parameter;

[0104] Specifically, when the current parameter to be corrected is the network structure of the traffic transmission network, the first network structure can be changed to the second network structure to obtain the target correction parameter, and the first network structure is the initial network structure; when the current parameter to be corrected is the network routing information of the traffic transmission network, the first network routing information can be changed to the second network routing information to obtain the target correction parameter, and the first network routing information is the initial network routing information; when the current parameter to be corrected is the target delay of the traffic transmission network, the target delay can be increased or decreased to obtain the target correction parameter; when the current parameter to be corrected is the expected network data of the traffic transmission network, the expected network data can be increased or decreased to obtain the target correction parameter; when the current parameter to be corrected is the transmission configuration information of multiple links, the first transmission configuration information can be changed to the second transmission configuration information to obtain the target correction parameter, and the first transmission configuration information is the transmission configuration information.

[0105] S305: configuring the preset traffic simulation model based on the target correction parameter to obtain a simulation model to be corrected;

[0106] Specifically, the current parameter to be corrected and other parameters that remain unchanged under control are used as target correction parameters, so as to reconfigure the model to be simulated based on the target correction parameters. For example, if the parameter to be corrected is the network structure of the traffic transmission network, then the network structure of the traffic transmission network is changed to a second network structure, and the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, the transmission configuration information of multiple links, and the second network structure are jointly determined as target correction parameters, so as to correct the simulation model configuration.

[0107] S307: Importing the target traffic into the simulation model to be corrected to obtain the simulation network data to be corrected corresponding to the simulation model to be corrected;

[0108] S309: When the current data deviation between the simulated network data to be corrected and the target actual network data is less than the target data deviation, the target correction parameter is updated to the current parameter to be corrected;

[0109] Specifically, the target traffic is imported into the simulation model to be corrected to obtain the simulation network data to be corrected. If the data deviation between the simulation network data to be corrected and the target actual network data is less than the target data deviation before the parameters are modified, it indicates that the current parameters to be corrected meet the correction requirements, and then the target correction parameters are updated to the current parameters to be corrected. For example, after changing the network structure of the traffic transmission network to the second network structure, the simulation network data to be corrected is 1.5ms, the target actual network data is 2ms, the target data difference is 1ms, and the first preset deviation range is 0-0.6ms. At this time, the current data deviation between the simulation network data to be corrected and the target actual network data is 0.5ms, which is less than the target data difference and is within the first preset deviation range, indicating that the change in the network structure of the traffic transmission network is effective. At this time, the target correction parameters include the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, the transmission configuration information of multiple links, and the network structure of the changed traffic transmission network.

[0110] S311: when the number of cycles is greater than 1, determine whether the data deviation between the current data deviation and the previous data deviation corresponding to the previous cycle is less than the first data deviation, if so, end the correction, if not, return to step S301 to continue execution;

[0111] Specifically, if the current data deviation between the simulated network data to be corrected and the target actual network data obtained by simulation based on the current parameter to be corrected is not within the first preset deviation range, but is reduced compared to the target data deviation, indicating that the current parameter to be corrected has a positive effect on the transmission of the target traffic, then continue to adjust the current parameter to be corrected until the data deviation between the current data deviation and the previous data deviation corresponding to the previous cycle is less than the first data deviation. That is, the adjustment of the current parameter to be corrected is not endless. If the impact on the current data deviation after adjustment is less than the first data deviation, then the current parameter to be corrected will no longer be adjusted. For example, the first data deviation is 0.1ms. After the network structure of the traffic transmission network is changed for the first time, the simulated network data to be corrected is 1.3ms, the target actual network data is 2ms, the target data difference is 1ms, and the first preset deviation range is 0-0.6ms. At this time, the current data deviation between the simulated network data to be corrected and the target actual network data is 0.7ms, which is smaller than the target data difference, but is not within the first preset deviation range, indicating that changing the network structure of the traffic transmission network is effective, but does not meet the requirements of the target traffic processing equipment. At this time, the network structure of the traffic transmission network is adjusted for the second time, and the simulated network data to be corrected is 1.35ms. At this time, the current data deviation between the simulated network data to be corrected and the target actual network data is 0.65ms, which is smaller than the target data difference, but still not within the first preset deviation range. The difference between the current data deviation and the data deviation corresponding to the previous cycle is 0.7-0.65=0.05ms, which is smaller than the first data deviation, and the network structure of the traffic transmission network will no longer be adjusted.

[0112] S313: Determine that the correction of the current parameter to be corrected is completed, and obtain the correction result of the current parameter to be corrected.

[0113] In the above exemplary embodiment, specifically, the adjustment of the parameter to be corrected is not endless, and if the impact on the current data deviation after adjustment is less than the first data deviation, the current parameter to be corrected is no longer adjusted, that is, the correction of the current parameter to be corrected is completed.

[0114] By correcting any one of the preset configuration parameters, including the network structure of the traffic transmission network, the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, and the transmission configuration information of multiple links, the relationship between the network simulation data to be corrected and the target actual network data when correcting any parameter is analyzed, so as to determine whether the corrected parameter meets the equipment requirements, and continue to correct it if it does not meet the requirements, finally forming a closed-loop system, ensuring the accuracy and effectiveness of the correction of the preset configuration parameters, and at the same time improving the adaptability of the preset configuration parameters to the equipment hardware environment.

[0115] The present application also provides a flow scheduling simulation device. Figure 4 , which is a schematic diagram of the structure of a traffic scheduling simulation device provided in an embodiment of the present application, specifically as follows Figure 4 As shown, the traffic scheduling simulation device includes:

[0116] The target traffic simulation model determination module 401 is used to configure the preset traffic simulation model based on preset configuration parameters to obtain the target traffic simulation model; the target traffic simulation model includes multiple links, and the preset configuration parameters represent the gating information of each link in the target traffic simulation model;

[0117] The overall data acquisition module 403 is used to import the target traffic into the target traffic simulation model and the target traffic processing device respectively, and obtain the target simulation network data corresponding to the target traffic simulation model and the target actual network data corresponding to the target traffic processing device;

[0118] The link data acquisition module 405 is used to acquire the link simulation network data of each link in the target traffic simulation model and the link actual network data of each link in the target traffic processing device when there is a target data deviation between the target simulation network data and the target actual network data, and the target data deviation is not within a first preset deviation range;

[0119] The abnormal link determination module 407 is used to determine an abnormal link from the multiple links based on the link simulation network data of each link and the link actual network data of each link; the link data deviation between the link simulation network data of the abnormal link and the link actual network data of the abnormal link is not within a second preset deviation range;

[0120] The preset configuration parameter modifying module 409 is used to modify the preset configuration parameters corresponding to the abnormal link.

[0121] In an optional embodiment, the traffic scheduling simulation device further includes:

[0122] A preset traffic information acquisition module, used to acquire the traffic transmission period of a plurality of preset traffics, the traffic size of the plurality of preset traffics, and the traffic priority of the plurality of preset traffics;

[0123] The target flow determination module is used to configure the multiple preset flows based on the flow transmission periods of the multiple preset flows, the flow sizes of the multiple preset flows, and the flow priorities of the multiple preset flows to obtain the target flow.

[0124] In an optional embodiment, the traffic scheduling simulation device further includes:

[0125] The first target traffic simulation model determination module is used to configure the preset traffic simulation model based on the network structure of the traffic transmission network, the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, and the transmission configuration information of the multiple links to obtain the target traffic simulation model; the preset traffic simulation model matches the traffic transmission network.

[0126] In an optional embodiment, the traffic scheduling simulation device further includes:

[0127] The second target traffic simulation model determination module is used to configure the preset traffic simulation model based on the buffer area size of the target traffic processing device and the port memory of the target traffic processing device to obtain the target traffic simulation model.

[0128] In an optional embodiment, the traffic scheduling simulation device further includes:

[0129] A first link data acquisition module, used to acquire the link actual network data and the link simulation network data corresponding to the target flow in the abnormal link;

[0130] The first preset configuration parameter correction module is used to correct the network structure of the traffic transmission network, the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, and the transmission configuration information of the multiple links based on the actual network data of the link and the simulated network data of the link.

[0131] In an optional embodiment, the traffic scheduling simulation device further includes:

[0132] A current parameter determination module to be corrected, used to determine the current parameter to be corrected; the current parameter to be corrected is any parameter of the network structure of the traffic transmission network, the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, and the transmission configuration information of the multiple links;

[0133] A target correction parameter determination module is used to perform parameter correction on the current parameter to be corrected to obtain a target correction parameter;

[0134] A simulation model to be corrected determining module, used for configuring the preset flow simulation model based on the target correction parameter to obtain the simulation model to be corrected;

[0135] A simulation network data determination module to be corrected, used for importing the target traffic into the simulation model to be corrected to obtain the simulation network data to be corrected corresponding to the simulation model to be corrected;

[0136] A target correction parameter updating module, used for updating the target correction parameter to the current parameter to be corrected when the current data deviation between the simulated network data to be corrected and the target actual network data is less than the target data deviation;

[0137] The repetitive execution module is used to repeatedly execute the steps of: determining the current parameter to be corrected, until the data deviation between the simulated network data to be corrected and the target actual network data is less than the target data deviation, updating the target correction parameter to the current parameter to be corrected; until the data deviation between the current data deviation and the previous data deviation corresponding to the previous cycle is less than the first data deviation;

[0138] The correction result determination module is used to determine whether the correction of the current parameter to be corrected is completed and obtain the correction result of the current parameter to be corrected.

[0139] In an optional embodiment, the traffic scheduling simulation device further includes:

[0140] A preset configuration parameter acquisition module, used to acquire the preset configuration parameters;

[0141] A target file generation module, used to generate a target gating list based on the preset configuration parameters, and import the target gating list into a file to generate a target file;

[0142] A preset protocol and file format module, used to obtain a preset protocol and a file format of the target file; the preset protocol is used to guide the configuration of the target file into the target traffic processing device;

[0143] A first configuration module, configured to configure the target file into the target traffic processing device if the file format of the target file meets the format requirement of the preset protocol;

[0144] The second configuration module is used to convert the file format of the target file if the file format of the target file does not meet the format requirement of the preset protocol, and configure the converted target file into the target traffic processing device.

[0145] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0146] An embodiment of the present application also provides a traffic scheduling simulation electronic device, which includes a processor and a memory, wherein the memory stores at least one instruction or at least one program, and the at least one instruction or the at least one program is loaded by the processor and executes the traffic scheduling simulation method described in the above method embodiment.

[0147] The embodiment of the present application also provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are executed by a processor, the traffic scheduling simulation method described in the embodiment of the present application is implemented.

[0148] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods 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 memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0149] The above describes specific embodiments of the present specification, and other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily have to be performed in the specific order or sequential order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0150] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the electronic device and computer-readable storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0151] The electronic device, computer-readable storage medium and method provided in the embodiments of the present application correspond to each other. Therefore, the electronic device and computer-readable storage medium also have similar beneficial technical effects as the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the corresponding electronic device and computer-readable storage medium will not be repeated here.

[0152] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A traffic scheduling simulation method, characterized in that: include: The preset traffic simulation model is configured based on the preset configuration parameters to obtain a target traffic simulation model; The target traffic simulation model includes a plurality of links, and the preset configuration parameters represent the gating information of each link in the target traffic simulation model; Importing the target traffic into the target traffic simulation model and the target traffic processing device respectively, obtaining the target simulation network data corresponding to the target traffic simulation model and the target actual network data corresponding to the target traffic processing device; When there is a target data deviation between the target simulated network data and the target actual network data, and the target data deviation is not within a first preset deviation range, obtaining link simulated network data of each link in the target traffic simulation model and link actual network data of each link in the target traffic processing device; Based on the link simulation network data of each link and the link actual network data of each link, determining an abnormal link from the multiple links; the link data deviation between the link simulation network data of the abnormal link and the link actual network data of the abnormal link is not within a second preset deviation range; The preset configuration parameters corresponding to the abnormal link are modified.

2. The method according to claim 1, characterized in that The method further comprises: Obtaining a flow transmission period of a plurality of preset flows, a flow size of the plurality of preset flows, and a flow priority of the plurality of preset flows; Based on the traffic transmission periods of the multiple preset traffic flows, the traffic sizes of the multiple preset traffic flows, and the traffic priorities of the multiple preset traffic flows, the multiple preset traffic flows are configured to obtain the target traffic flow.

3. The method according to claim 1, characterized in that The preset configuration parameters include a network structure of the traffic transmission network, network routing information of the traffic transmission network, a target delay of the traffic transmission network, expected network data of the traffic transmission network, and transmission configuration information of the multiple links; The traffic transmission network is formed based on the plurality of links; The configuring of the preset traffic simulation model based on the preset configuration parameters to obtain the target traffic simulation model includes: Based on the network structure of the traffic transmission network, the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, and the transmission configuration information of the multiple links, the preset traffic simulation model is configured to obtain the target traffic simulation model; the preset traffic simulation model matches the traffic transmission network.

4. The method according to claim 3, characterized in that: The preset configuration parameters also include the buffer size of the target traffic processing device and the port memory of the target traffic processing device; The method further comprises: The preset traffic simulation model is configured based on the buffer size of the target traffic processing device and the port memory of the target traffic processing device to obtain the target traffic simulation model.

5. The method according to claim 3, characterized in that: The modifying of the preset configuration parameters corresponding to the abnormal link includes: Acquire the actual network data of the link and the simulated network data of the link corresponding to the target flow in the abnormal link; Based on the actual network data of the link and the simulated network data of the link, the network structure of the traffic transmission network, the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, and the transmission configuration information of the multiple links are corrected.

6. The method according to claim 5, characterized in that The method of correcting the network structure of the traffic transmission network, the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, and the transmission configuration information of the multiple links based on the actual network data of the link and the simulated network data of the link includes: Determine a current parameter to be corrected; the current parameter to be corrected is any parameter of the network structure of the traffic transmission network, the network routing information of the traffic transmission network, the target delay of the traffic transmission network, the expected network data of the traffic transmission network, and the transmission configuration information of the multiple links; Performing parameter correction on the current parameter to be corrected to obtain a target correction parameter; The preset flow simulation model is configured based on the target correction parameter to obtain a simulation model to be corrected; Importing the target traffic into the simulation model to be corrected to obtain the simulation network data to be corrected corresponding to the simulation model to be corrected; When the current data deviation between the simulated network data to be corrected and the target actual network data is less than the target data deviation, updating the target correction parameter to the current parameter to be corrected; Repeat the steps of: determining the current parameter to be corrected, until the data deviation between the simulated network data to be corrected and the target actual network data is less than the target data deviation, and updating the target correction parameter to the current parameter to be corrected; until the data deviation between the current data deviation and the previous data deviation corresponding to the previous cycle is less than the first data deviation; It is determined that the correction of the current parameter to be corrected is completed, and a correction result of the current parameter to be corrected is obtained.

7. The method according to claim 1, characterized in that The method further comprises: Obtaining the preset configuration parameters; Generate a target gating list based on the preset configuration parameters, and import the target gating list into a file to generate a target file; Acquire a preset protocol and a file format of the target file; the preset protocol is used to guide the configuration of the target file into the target traffic processing device; When the file format of the target file meets the format requirement of the preset protocol, configuring the target file into the target traffic processing device; In the case that the file format of the target file does not meet the format requirement of the preset protocol, the file format of the target file is converted, and the converted target file is configured in the target traffic processing device.

8. A traffic scheduling simulation device, characterized in that: The traffic scheduling simulation device comprises: A target traffic simulation model determination module is used to configure a preset traffic simulation model based on preset configuration parameters to obtain a target traffic simulation model; the target traffic simulation model includes multiple links, and the preset configuration parameters represent the gating information of each link in the target traffic simulation model; The overall data acquisition module is used to import the target traffic into the target traffic simulation model and the target traffic processing device respectively, and obtain the target simulation network data corresponding to the target traffic simulation model and the target actual network data corresponding to the target traffic processing device; A link data acquisition module, used to acquire the link simulation network data of each link in the target traffic simulation model and the link actual network data of each link in the target traffic processing device when there is a target data deviation between the target simulation network data and the target actual network data, and the target data deviation is not within a first preset deviation range; an abnormal link determination module, configured to determine an abnormal link from the plurality of links based on the link simulation network data of each link and the link actual network data of each link; the link data deviation between the link simulation network data of the abnormal link and the link actual network data of the abnormal link is not within a second preset deviation range; The preset configuration parameter correction module is used to correct the preset configuration parameters corresponding to the abnormal link.

9. An electronic device, characterized in that: The electronic device includes a processor and a memory, wherein the memory stores at least one instruction or at least one program, and the at least one instruction or at least one program is loaded by the processor and executes the traffic scheduling simulation method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, the traffic scheduling simulation method according to any one of claims 1 to 7 is implemented.

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