CN114553752A - Network performance testing method, device and computer equipment based on simulation software - Google Patents

Abstract

The present application relates to a network performance testing method, device and computer equipment based on simulation software, including: acquiring a network topology structure corresponding to a power grid dispatching data network; acquiring configuration parameters corresponding to the network topology structure, and a network configuration for the backbone network Tunnel parameters of the tunnel as network configuration parameters; input the network configuration parameters into simulation software to build a network model through the simulation software; create a simulated service flow, and input the simulated service flow into the network model , obtain the corresponding first network QoS parameters when the multiple communication nodes transmit the simulated service flow through the network tunnel; according to the first network QoS parameters, determine that the power grid scheduling data network is configured The network performance when the network tunnel is described, realizes the network simulation when the network tunnel is configured for the power grid dispatching data network, and can predict the network performance in advance.

Description

Network performance testing method, device and computer equipment based on simulation software

technical field

The present application relates to the field of computer technology, and in particular, to a method, apparatus, computer equipment and storage medium for network performance testing based on simulation software.

Background technique

With the development of network technology, the IPv6 protocol (Internet Protocol Version 6, Internet Protocol Version 6) has become more and more widely popularized.

In the prior art, the backbone network of the power grid dispatching data network mainly uses the IPv4 protocol (Internet Protocol Version 4), while other branch stations in the power grid dispatching data network need to be transformed with IPv6. Branch stations that use IPv6 protocol can communicate through the backbone network that uses IPv4 protocol, and network transformation is required, such as adding network tunnels.

However, in the prior art, it is often necessary to actually transform the network. For example, after a network tunnel is deployed in the current network, the performance of the transformed network can be evaluated, and it is difficult to predict and adjust in advance.

SUMMARY OF THE INVENTION

Based on this, it is necessary to provide a method, device, computer equipment and storage medium for network performance testing based on simulation software, aiming at the above technical problems.

A method for testing network performance based on simulation software, the method comprising:

Obtain a network topology structure corresponding to the power grid dispatching data network; the network topology structure includes a plurality of communication nodes using the IPv6 protocol for communication in the power grid dispatching data network and a backbone network using the IPv4 protocol;

Obtain the configuration parameters corresponding to the network topology structure, and the tunnel parameters of the network tunnel configured for the backbone network as network configuration parameters; the network tunnel is a network tunnel corresponding to the IPv6 protocol and the IPv4 protocol;

inputting the network configuration parameters into simulation software to construct a network model by the simulation software;

Create a simulated service flow, input the simulated service flow into the network model, and obtain the corresponding first network QoS parameters when the multiple communication nodes transmit the simulated service flow through the network tunnel;

According to the first network service quality parameter, the network performance of the power grid scheduling data network when the network tunnel is configured is determined.

Optionally, the inputting the network configuration parameters into simulation software to construct a network model by the simulation software includes:

Acquiring multiple simulation devices corresponding to the power grid dispatching data network; the multiple simulation devices include routers and workstations and/or servers serving as communication nodes;

The simulation device and the network configuration parameters are input into simulation software, so that the network configuration parameters are used by the simulation software to create data connections between the plurality of simulation devices and to construct a network model.

Optionally, the communication node includes a sending end node and a receiving end node, and the obtaining configuration parameters corresponding to the network topology structure includes:

Obtain the interface address information corresponding to the IPv6 node, and use the interface address information as the configuration parameters corresponding to the sending end node and the receiving end node;

Obtain actual service flow information, and determine configuration parameters corresponding to the network topology structure according to the configuration parameters and the actual service flow information.

Optionally, the acquiring the tunnel parameters of the network tunnel configured for the backbone network includes:

Acquiring a preset router model; the router model includes a first router that communicates with the sending end node, and a second router that communicates with the receiving end node;

Obtain the respective corresponding tunnel interface addresses and tunnel interface modes of the first router and the second router; wherein, the tunnel interface address is the address of an IPv6 network tunnel, and the tunnel interface mode is a mode for the IPv6 protocol and the IPv4 protocol;

Acquire the respective static routing tables of the first router and the second router, and obtain tunnel parameters of the network tunnel configured for the backbone network according to the tunnel interface address, the tunnel interface mode and the static routing table.

Optionally, the static routing table is configured with a network tunnel identifier and address information corresponding to the target node.

Optionally, the determining the network performance of the power grid dispatching data network when configuring the network tunnel according to the first network service quality parameter includes:

Acquiring a second network service quality parameter; the second network service quality parameter is a network quality parameter for data transmission by the plurality of communication nodes through the backbone network when the network tunnel is not used;

Comparing the first network service quality parameter with the second network service quality parameter, the network performance of the power grid dispatching data network when the network tunnel is configured is determined.

Optionally, the first network service quality parameter includes any one or more of the following: packet loss rate, delay information, response time, and throughput.

A network performance testing device based on simulation software, the device comprising:

A network topology acquisition module, configured to acquire a network topology corresponding to a power grid dispatching data network; the network topology includes a plurality of communication nodes using IPv6 protocol for communication in the power grid dispatching data network and a backbone network using IPv4 protocol;

A network configuration parameter obtaining module is used to obtain the configuration parameters corresponding to the network topology structure, and the tunnel parameters of the network tunnel configured for the backbone network as network configuration parameters; the network tunnel is an IPv6 protocol corresponding to an IPv4 protocol network tunnel;

a network model building module for inputting the network configuration parameters into simulation software, so as to construct a network model through the simulation software;

a first network service quality parameter acquisition module, configured to create a simulated service flow and input the simulated service flow into the network model, and obtain when the multiple communication nodes transmit the simulated service flow through the network tunnel, the corresponding first network service quality parameter;

A network performance determination module, configured to determine, according to the first network service quality parameter, the network performance of the power grid scheduling data network when the network tunnel is configured.

A computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of any of the methods described above when the processor executes the computer program.

A computer-readable storage medium having a computer program stored thereon, the computer program implementing the steps of any of the methods described above when executed by a processor.

The above-mentioned network performance testing method, device, computer equipment and storage medium based on simulation software, by obtaining the network topology structure corresponding to the power grid dispatching data network, obtaining the configuration parameters corresponding to the network topology structure, and configuring the network tunnel for the backbone network. Tunnel parameters, as network configuration parameters, input the network configuration parameters into the simulation software, build a network model, create a simulated service flow, and input the simulated service flow into the network model to obtain the corresponding first network service quality parameters, according to The first network service quality parameter determines the network performance of the power grid dispatching data network when the network tunnel is configured, realizes the network simulation when the power grid dispatching data network is configured with the network tunnel, and can predict the network performance in advance.

Description of drawings

1 is a schematic flowchart of a network performance testing method based on simulation software in one embodiment;

2 is a schematic flowchart of a network performance testing method based on simulation software in one embodiment;

3 is a schematic flowchart of a step of constructing a network model in one embodiment;

4 is a schematic flowchart of a step of determining network performance in one embodiment;

Fig. 5 is a structural block diagram of a network performance testing device based on simulation software in one embodiment;

FIG. 6 is a diagram of the internal structure of a computer device in one embodiment.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

In one embodiment, as shown in FIG. 1 , a network performance testing method based on simulation software is provided. This embodiment is illustrated by applying the method to a terminal. It can be understood that the method can also be applied to a server. , can also be applied to a system including a terminal and a server, and is realized through the interaction between the terminal and the server. In this embodiment, the method may include the following steps:

Step 101: Obtain a network topology structure corresponding to a power grid dispatching data network; the network topology structure includes a plurality of communication nodes in the power grid dispatching data network that communicate using the IPv6 protocol and a backbone network that uses the IPv4 protocol.

As an example, the power grid dispatching data network may be a network used by a power grid enterprise. The power grid dispatching data network may include multiple communication nodes using the IPv6 protocol for communication, and a backbone network using the IPv4 protocol, wherein the backbone network Can refer to a high-speed network used to connect multiple regions or regions. Each backbone network can have at least one connection point for interconnection with other backbone networks, and the scope of the backbone network can reach tens to thousands of kilometers.

The network topology may refer to the distribution and connection mode of computer devices in a network composed of computer devices, as shown in FIG. 2 , which is an example of a network topology. In a specific implementation, the computer equipment in the network topology structure may include any one or more of the following: a terminal, a server, and a router.

In practical applications, the network topology structure corresponding to the power grid dispatching data network can be obtained. Since the network topology structure can describe the distribution and connection methods of computer equipment in the power grid dispatching data network, the network topology structure can include the power grid dispatching data network. Multiple communication nodes communicating using IPv6 protocol and backbone network using IPv4 protocol.

Step 102: Obtain configuration parameters corresponding to the network topology and tunnel parameters of network tunnels configured for the backbone network as network configuration parameters; the network tunnels are network tunnels corresponding to IPv6 protocols and IPv4 protocols.

As an example, the configuration parameters may include parameters describing the connection and distribution of each computer device in the network topology, such as address information and connection mode of each computer device.

The network tunnel may refer to using one network protocol to transmit data of another network protocol, for example, transmitting IPv6 data through an IPv4 network, and the tunnel parameters may be parameters corresponding to the network tunnel.

The network configuration parameters may be parameters used to describe the network structure or characteristics of devices, links, etc. in the network, and are used when building a network model.

After the network topology structure is obtained, configuration parameters corresponding to the network topology structure can be obtained. At the same time, since the backbone network adopts IPv4, which is different from the IPv6 protocol adopted by multiple communication nodes, a network tunnel can be configured for the backbone network. The network tunnel is a network tunnel corresponding to the IPv6 protocol and the IPv4 protocol. IPv6 data can be transmitted over an IPv4 network.

In a specific implementation, tunnel parameters corresponding to the network tunnel may be obtained, and the configuration parameters and the tunnel parameters may be used as network configuration parameters. For example, the network configuration parameters can be obtained by configuring the configuration parameters and tunnel parameters corresponding to the network structure by the user.

Step 103: Input the network configuration parameters into simulation software, so as to construct a network model through the simulation software.

As an example, the simulation software may be software that obtains network performance data required for network design or optimization by establishing network device, link and protocol models, and simulating network traffic transmission, such as Opnet software.

In practical applications, after the network tunnel parameters are obtained, the network configuration parameters can be input into the simulation software to construct a network model through the simulation software.

Step 104: Create a simulated service flow, input the simulated service flow into the network model, and obtain the corresponding first network QoS parameters when the multiple communication nodes transmit the simulated service flow through the network tunnel .

As an example, the service flow may be the data processed or transmitted by each communication node when performing service activities. The simulated service flow may also be called simulated service, which may be the simulation of the service flow. In practical applications, a database may be used to realize the simulation. business flow.

The first network service quality parameter may be a parameter reflecting network service quality, and the first network service quality parameter may include any one or more of the following: packet loss rate, delay information, response time, and throughput.

After building the network model, you can create a simulated service flow and input the simulated service flow into the network model to simulate multiple communication nodes through the network model to transmit the simulated service flow using a network tunnel, and then you can obtain the corresponding data in the transmission process. The network service quality parameter, that is, the first network service quality parameter.

Step 105: Determine the network performance of the power grid scheduling data network when the network tunnel is configured according to the first network service quality parameter.

After the first network service quality parameter is obtained, the network performance of the grid dispatching data network when the network tunnel is configured can be determined according to the parameter. Specifically, a preset network performance standard can be obtained, and the first network service quality parameter can be compared with the network performance standard to determine whether the grid dispatching data network can provide a network that meets the network performance standard when the network tunnel is configured.

In this embodiment, by obtaining the network topology structure corresponding to the power grid dispatching data network, the configuration parameters corresponding to the network topology structure and the tunnel parameters of the network tunnel configured for the backbone network are obtained as network configuration parameters, and the network configuration parameters are input into In the simulation software, a network model is constructed, a simulated service flow is created, and the simulated service flow is input into the network model to obtain the corresponding first network service quality parameter, and according to the first network service quality parameter, it is determined that the power grid dispatching data network is configured The network performance at the time of the network tunnel realizes the network simulation when the network tunnel is configured for the power grid dispatching data network, and can predict the network performance in advance.

In one embodiment, as shown in FIG. 3 , the inputting of the network configuration parameters into simulation software to construct a network model through the simulation software may include the following steps:

Step 201: Acquire multiple simulation devices corresponding to the power grid dispatching data network; the multiple simulation devices include routers and workstations and/or servers serving as communication nodes.

As an example, the simulated device may be a virtual device used in building a network model, and the simulated device may include routers, and workstations and/or servers as communication nodes.

In practical applications, since the network is composed of multiple computer devices and is determined by the connection relationship and/or distribution among the multiple computer devices, when constructing the network model, it is possible to obtain the data corresponding to the power grid dispatching data network. Multiple simulation devices, wherein the multiple simulation devices corresponding to the power grid dispatching data network may refer to virtual devices corresponding to real devices used in the power grid dispatching data network, for example, the same device type and/or number of devices.

Step 202: Input the simulation device and the network configuration parameters into simulation software, so as to use the network configuration parameters to create data connections between the plurality of simulation devices and build a network model through the simulation software.

After obtaining the simulation device, the simulation device and network configuration parameters can be input into the simulation software. After the simulation software obtains the simulation device and network configuration parameters, it can create data between multiple simulation devices according to the network configuration parameters. Connect to build a network model. During data connection, the connection can be made through Opnet's link modes link model.

In one example, MPLS (Multi-Protocol Label Switching) VPN (Virtual Private Network) and LSP (Layered Service Provider) network environments can be rapidly deployed through the Riverbed Modeler MPLS model.

In one example, after the network model is constructed, each simulated device and/or service in the network model can communicate through the TCP protocol (Transmission Control Protocol, Transmission Control Protocol).

In this embodiment, the simulation device and the network configuration parameters are input into the simulation software, and the network configuration parameters are used by the simulation software to create data connections between multiple simulation devices, build a network model, and realize network simulation. Network performance tests when configuring network tunnels provide a data basis.

In one embodiment, the communication node may include a sending end node and a receiving end node, and the acquiring configuration parameters corresponding to the network topology structure may include the following steps:

Obtain the interface address information corresponding to the IPv6 node, and use the interface address information as the configuration parameters corresponding to the sending end node and the receiving end node; obtain actual service flow information, and use the configuration parameters and the actual service Traffic information, and determine the configuration parameters corresponding to the network topology.

As an example, the actual service traffic information may be the traffic bandwidth used by the grid dispatching data network in actual work, for example, a line with a bandwidth of 2M and a line with a bandwidth of 155M.

In specific implementation, the interface address information can be set for the IPv6 node in advance, for example, the interface address information for the host attribute of the IPv6 node is configured as "No IP Address", after the communication node is configured with the interface address information, the communication node can be identified as IPv6 node.

Based on this, the preset interface address information for the IPv6 node can be obtained, and the interface address information can be used as the configuration parameters corresponding to the sending end node and the receiving end node. The end nodes are all IPv6 nodes. In addition, other IPv6 node information can also be configured and used together with the interface address information as configuration parameters corresponding to the sending end node or the receiving end node. Further, the actual service flow information corresponding to the power grid dispatching data network can also be obtained, and the configuration parameters and the actual service flow information can be used as configuration parameters corresponding to the network topology structure of the power grid dispatching data network.

In this embodiment, by obtaining the interface address information and actual service flow information corresponding to the IPv6 node, the configuration parameters corresponding to the network topology can be obtained, which provides a data basis for building a network model.

In one embodiment, the acquiring tunnel parameters of the network tunnel configured for the backbone network may include the following steps:

Step 301: Obtain a preset router model; the router model includes a first router that communicates with the sending end node, and a second router that communicates with the receiving end node.

In a specific implementation, the power grid dispatching data network may include multiple routers, and each station can forward data through the routers and perform data interaction. Based on this, a preset router model corresponding to the power grid scheduling data network can be obtained. The router model can include a first router that communicates with the sending end node, and a second router that communicates with the receiving end node. The first router The router and the second router can exchange data through the backbone network, for example, it can be a Huawei NE20 router model. In practical applications, the router model can be input into the simulation software, and the corresponding router connection structure is constructed in the network model through the specified module of the simulation software.

Based on this, when acquiring the tunnel parameters corresponding to the network tunnel, the preset router model can be acquired.

Step 302: Obtain the respective corresponding tunnel interface addresses and tunnel interface modes of the first router and the second router; wherein, the tunnel interface address is an address of an IPv6 network tunnel, and the tunnel interface mode is for the IPv6 protocol and the IPv4 protocol. mode.

After the router model including the first router and the second router is obtained, the tunnel interface address and tunnel interface mode corresponding to the first router can be obtained, and the tunnel interface address and tunnel interface mode won by the second router can be obtained.

The tunnel interface modes corresponding to the first router and the second router may both be modes for the IPv6 protocol and the IPv4 protocol, that is, the IPv6 (6to4) mode. The tunnel interface address corresponding to the first router and the tunnel interface address corresponding to the second router may be configured as preset address information, where the preset address information is used to indicate that the tunnel provided by the router is an IPv6 tunnel, for example, the preset address information The address information may be "No IP Address".

Step 303: Obtain the respective static routing tables of the first router and the second router, and obtain the tunnel of the network tunnel configured for the backbone network according to the tunnel interface address, the tunnel interface mode and the static routing table parameter.

As an example, the static routing table may be configured with the network tunnel identifier and address information corresponding to the target node, and the target node may be the receiving end node that serves as the target object and receives the data when the sending end node sends data. Correspondingly, When the receiving end node transmits data, the receiving end node can also be transformed into a sending end node.

In a specific implementation, the static routing tables corresponding to the first router and the second router can be obtained, wherein, by configuring the network tunnel identifier and the address information corresponding to the target node in the static routing table, the router can be instructed to instruct the router after receiving the transmission from the sending end node. When the data is received, the network tunnel corresponding to the network tunnel identifier is used to transmit the data to the target node corresponding to the address information. For example, if the address information configured for the target node in the IPv6 static routing table of the first router is 2002, and the network tunnel identifier configured on the next hop is TunnelA, it can indicate that the IPv6 data is in the IPv6 tunnel whose network tunnel identifier is TunnelA after passing through the 6to4 router. Transmission, the destination address of the transmission is the communication node starting with 2002.

After the static routing table is obtained, the tunnel interface address, tunnel interface mode and static routing table may be determined as tunnel parameters corresponding to the network tunnel configured for the backbone network.

In this embodiment, the tunnel parameters of the network tunnel configured for the backbone network are obtained according to the tunnel interface address, the tunnel interface mode and the static routing table, which can provide a data basis for building a network model.

In an embodiment, as shown in FIG. 4 , the determining of the network performance of the power grid dispatching data network when configuring the network tunnel according to the first network service quality parameter may include the following steps:

Step 401: Obtain a second network service quality parameter; the second network service quality parameter is a network quality parameter for data transmission by the multiple communication nodes through the backbone network when the network tunnel is not used.

As an example, the second network service quality parameter may be a parameter reflecting network service quality. Specifically, it may be that multiple communication nodes using the IPv6 protocol perform data transmission through the backbone network when the power grid dispatching data network does not use network tunnels. is the network quality parameter of the corresponding network. The second network service quality parameter may include any one or more of the following: packet loss rate, delay information, response time, and throughput.

In this embodiment, the second network service quality parameter may be acquired. Specifically, the second network service quality parameter may be a network service quality parameter obtained by constructing a network model through simulation software, and inputting the simulated service flow into the network model, wherein the network model is the power grid when the network tunnel is not applicable. The network model corresponding to the scheduling data network. Alternatively, it can also be a real parameter measured by a virtual device, software or physical device in a real network.

Step 402: Compare the first network QoS parameter with the second network QoS parameter, and determine the network performance of the power grid dispatching data network when the network tunnel is configured.

After obtaining the first network QoS parameter and the second network QoS parameter, the two can be compared to determine the changes in the network performance of the grid scheduling data network when the network tunnel is used. For example, after using the network tunnel, The impact on network delay and network packet loss rate, or, by comparing the results, determine whether IPv6 data can pass through the backbone network using the IPv4 protocol after using the network tunnel to ensure normal communication between each communication node.

In one example, by comparing the quality of service parameter of the first network with the quality of service parameter of the second network, it can be determined that each communication node can traverse the IPv4 backbone network through the 6to4 network tunnel to keep the communication service running normally, and the power grid dispatches the network of the data network The delay does not exceed 20 milliseconds, and the network packet loss rate does not exceed 0.01%.

In this embodiment, by comparing the QoS parameters of the first network with the QoS parameters of the second network, the network performance of the power grid dispatching data network when the network tunnel is configured can be determined, so that the network performance can be improved in advance in the use scenario of the network tunnel. predict.

It should be understood that although the steps in the flowcharts of FIGS. 1-4 are shown in sequence according to the arrows, these steps are not necessarily executed in the sequence shown by the arrows. Unless explicitly stated herein, the execution of these steps is not strictly limited to the order, and the steps may be executed in other orders. Moreover, at least a part of the steps in FIGS. 1-4 may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same time, but may be executed at different times. The execution of these steps or stages The order is also not necessarily sequential, but may be performed alternately or alternately with other steps or at least a portion of the steps or phases within the other steps.

In one embodiment, as shown in FIG. 5, a network performance testing device based on simulation software is provided, wherein the device includes:

A network topology structure obtaining module 501, configured to obtain a network topology structure corresponding to a power grid dispatching data network; the network topology structure includes a plurality of communication nodes in the power grid dispatching data network that communicate using the IPv6 protocol and a backbone network that uses the IPv4 protocol;

A network configuration parameter obtaining module 502, configured to obtain configuration parameters corresponding to the network topology structure and tunnel parameters of the network tunnel configured for the backbone network as network configuration parameters; the network tunnel corresponds to the IPv6 protocol and the IPv4 protocol the network tunnel;

A network model building module 503, configured to input the network configuration parameters into simulation software, so as to construct a network model through the simulation software;

The first network service quality parameter acquisition module 504 is configured to create a simulated service flow and input the simulated service flow into the network model, and obtain when the multiple communication nodes transmit the simulated service flow through the network tunnel , the corresponding first network service quality parameter;

The network performance determination module 505 is configured to determine, according to the first network service quality parameter, the network performance of the power grid scheduling data network when the network tunnel is configured.

In one embodiment, the network model building module 503 includes:

a simulation device acquisition sub-module for acquiring multiple simulation devices corresponding to the power grid dispatching data network; the multiple simulation devices include routers and workstations and/or servers serving as communication nodes;

a parameter input sub-module for inputting the simulation device and the network configuration parameters into simulation software, so as to use the network configuration parameters through the simulation software to create data connections between the plurality of simulation devices, Build a network model.

In one embodiment, the communication node includes a sending end node and a receiving end node, and the network configuration parameter obtaining module 502 includes:

an interface address information acquisition submodule, configured to acquire interface address information corresponding to an IPv6 node, and use the interface address information as a configuration parameter corresponding to the sending end node and the receiving end node;

The actual service flow information acquisition sub-module is configured to obtain actual service flow information, and determine the configuration parameters corresponding to the network topology structure according to the configuration parameters and the actual service flow information.

In one embodiment, the network configuration parameter obtaining module 502 includes:

a router model obtaining module, configured to obtain a preset router model; the router model includes a first router that communicates with the sending end node, and a second router that communicates with the receiving end node;

A tunnel interface address obtaining sub-module is used to obtain the respective corresponding tunnel interface addresses and tunnel interface modes of the first router and the second router; wherein, the tunnel interface address is an address of an IPv6 network tunnel, and the tunnel interface mode is Modes for IPv6 and IPv4 protocols;

A static routing table obtaining sub-module is used to obtain the static routing tables corresponding to the first router and the second router, and obtain the corresponding static routing table according to the tunnel interface address, the tunnel interface mode and the static routing table. Tunnel parameters of the configured network tunnel.

In one embodiment, the static routing table is configured with a network tunnel identifier and address information corresponding to a target node.

In one embodiment, the network performance determination module 505 includes:

The second network QoS parameter acquisition sub-module is used to acquire the second network QoS parameter; the second network QoS parameter is the data transmission of the plurality of communication nodes through the backbone network when the network tunnel is not used. network quality parameters;

A comparison sub-module is configured to compare the first network service quality parameter with the second network service quality parameter, and determine the network performance of the power grid dispatching data network when the network tunnel is configured.

In an embodiment, the first network service quality parameter includes any one or more of the following: packet loss rate, delay information, response time, and throughput.

For the specific limitation of a network performance testing apparatus based on simulation software, reference may be made to the above limitation on a network performance testing method based on simulation software, which will not be repeated here. Each module in the above-mentioned network performance testing device based on simulation software can be implemented in whole or in part by software, hardware and combinations thereof. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

In one embodiment, a computer device is provided, and the computer device may be a terminal, and its internal structure diagram may be as shown in FIG. 6 . The computer equipment includes a processor, memory, a communication interface, a display screen, and an input device connected by 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, an internal memory. The nonvolatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the execution of the operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for wired or wireless communication with an external terminal, and the wireless communication can be realized by WIFI, operator network, NFC (Near Field Communication) or other technologies. When the computer program is executed by the processor, a method for testing network performance based on simulation software is realized. The display screen of the computer equipment may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment may be a touch layer covered on the display screen, or a button, a trackball or a touchpad set on the shell of the computer equipment , or an external keyboard, trackpad, or mouse.

Those skilled in the art can understand that the structure shown in FIG. 6 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer equipment to which the solution of the present application is applied. Include more or fewer components than shown in the figures, or combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, including a memory and a processor, a computer program is stored in the memory, and the processor implements the following steps when executing the computer program:

Obtain a network topology structure corresponding to the power grid dispatching data network; the network topology structure includes a plurality of communication nodes using the IPv6 protocol for communication in the power grid dispatching data network and a backbone network using the IPv4 protocol;

Obtain the configuration parameters corresponding to the network topology structure, and the tunnel parameters of the network tunnel configured for the backbone network as network configuration parameters; the network tunnel is a network tunnel corresponding to the IPv6 protocol and the IPv4 protocol;

inputting the network configuration parameters into simulation software to construct a network model by the simulation software;

Create a simulated service flow, input the simulated service flow into the network model, and obtain the corresponding first network QoS parameters when the multiple communication nodes transmit the simulated service flow through the network tunnel;

According to the first network service quality parameter, the network performance of the power grid scheduling data network when the network tunnel is configured is determined.

In one embodiment, when the processor executes the computer program, it also implements the steps in the other embodiments described above.

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:

Obtain a network topology structure corresponding to the power grid dispatching data network; the network topology structure includes a plurality of communication nodes using the IPv6 protocol for communication in the power grid dispatching data network and a backbone network using the IPv4 protocol;

Obtain the configuration parameters corresponding to the network topology structure, and the tunnel parameters of the network tunnel configured for the backbone network as network configuration parameters; the network tunnel is a network tunnel corresponding to the IPv6 protocol and the IPv4 protocol;

inputting the network configuration parameters into simulation software to construct a network model by the simulation software;

Create a simulated service flow, input the simulated service flow into the network model, and obtain the corresponding first network QoS parameters when the multiple communication nodes transmit the simulated service flow through the network tunnel;

According to the first network service quality parameter, the network performance of the power grid scheduling data network when the network tunnel is configured is determined.

In one embodiment, the computer program, when executed by the processor, also implements the steps in the other embodiments described above.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage In the medium, when the computer program is executed, it may include the processes of the above-mentioned method embodiments. Wherein, any reference to memory, storage, database or other media used in the various embodiments provided in this application may include at least one of non-volatile and volatile memory. The non-volatile memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, and the like. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, the RAM may be in various forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM).

The technical features of the above embodiments can be combined arbitrarily. In order to simplify the description, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, all It is considered to be the range described in this specification.

The above-mentioned embodiments only represent several embodiments of the present application, and the descriptions thereof are specific and detailed, but should not be construed as a limitation on the scope of the invention patent. It should be noted that, for those skilled in the art, without departing from the concept of the present application, several modifications and improvements can be made, which all belong to the protection scope of the present application. Therefore, the scope of protection of the patent of the present application shall be subject to the appended claims.

Claims (10)

1. a network performance testing method based on simulation software, is characterized in that, described method comprises: Obtain a network topology structure corresponding to the power grid dispatching data network; the network topology structure includes a plurality of communication nodes using the IPv6 protocol for communication in the power grid dispatching data network and a backbone network using the IPv4 protocol; Obtain the configuration parameters corresponding to the network topology structure, and the tunnel parameters of the network tunnel configured for the backbone network as network configuration parameters; the network tunnel is a network tunnel corresponding to the IPv6 protocol and the IPv4 protocol; inputting the network configuration parameters into simulation software to construct a network model by the simulation software; Create a simulated service flow, input the simulated service flow into the network model, and obtain the corresponding first network QoS parameters when the multiple communication nodes transmit the simulated service flow through the network tunnel; According to the first network service quality parameter, the network performance of the power grid scheduling data network when the network tunnel is configured is determined. 2. The method according to claim 1, wherein the inputting the network configuration parameters into simulation software to construct a network model by the simulation software comprises: Acquiring multiple simulation devices corresponding to the power grid dispatching data network; the multiple simulation devices include routers and workstations and/or servers serving as communication nodes; The simulation device and the network configuration parameters are input into simulation software, so that the network configuration parameters are used by the simulation software to create data connections between the plurality of simulation devices and to construct a network model. 3. The method according to claim 1, wherein the communication node comprises a sending end node and a receiving end node, and the acquiring configuration parameters corresponding to the network topology structure comprises: Obtain the interface address information corresponding to the IPv6 node, and use the interface address information as the configuration parameters corresponding to the sending end node and the receiving end node; Acquire actual service flow information, and determine configuration parameters corresponding to the network topology structure according to the configuration parameters and the actual service flow information. 4. The method according to claim 3, wherein the acquiring tunnel parameters of a network tunnel configured for the backbone network comprises: Acquiring a preset router model; the router model includes a first router that communicates with the sending end node, and a second router that communicates with the receiving end node; Obtain the respective corresponding tunnel interface addresses and tunnel interface modes of the first router and the second router; wherein, the tunnel interface address is the address of the IPv6 network tunnel, and the tunnel interface mode is the mode for the IPv6 protocol and the IPv4 protocol; Acquire the respective static routing tables of the first router and the second router, and obtain tunnel parameters of the network tunnel configured for the backbone network according to the tunnel interface address, the tunnel interface mode and the static routing table. 5 . The method according to claim 4 , wherein the static routing table is configured with network tunnel identifiers and address information corresponding to the target node. 6 . 6 . The method according to claim 1 , wherein the determining, according to the first network service quality parameter, the network performance of the power grid dispatching data network when configuring the network tunnel comprises: 6 . Acquiring a second network service quality parameter; the second network service quality parameter is a network quality parameter for data transmission by the plurality of communication nodes through the backbone network when the network tunnel is not used; Comparing the first network service quality parameter with the second network service quality parameter, the network performance of the power grid dispatching data network when the network tunnel is configured is determined. 7. The method according to claim 1, wherein the first network QoS parameter comprises any one or more of the following: packet loss rate, delay information, response time, and throughput. 8. A network performance testing device based on simulation software, wherein the device comprises: A network topology structure acquisition module, used for acquiring a network topology structure corresponding to the power grid dispatching data network; the network topology structure includes a plurality of communication nodes using the IPv6 protocol for communication in the power grid dispatching data network and a backbone network using the IPv4 protocol; A network configuration parameter obtaining module is used to obtain the configuration parameters corresponding to the network topology structure, and the tunnel parameters of the network tunnel configured for the backbone network as network configuration parameters; the network tunnel is an IPv6 protocol corresponding to an IPv4 protocol network tunnel; a network model building module for inputting the network configuration parameters into simulation software, so as to construct a network model through the simulation software; a first network service quality parameter acquisition module, configured to create a simulated service flow and input the simulated service flow into the network model, and obtain when the multiple communication nodes transmit the simulated service flow through the network tunnel, the corresponding first network service quality parameter; A network performance determination module, configured to determine, according to the first network service quality parameter, the network performance of the power grid scheduling data network when the network tunnel is configured. 9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein the processor implements the steps of the method according to any one of claims 1 to 7 when the processor executes the computer program . 10. A computer-readable storage medium on which a computer program is stored, wherein the computer program implements the steps of the method according to any one of claims 1 to 7 when the computer program is executed by a processor.

Images