Novel intelligent metropolitan area network deployment method based on cloud network fusion

Abstract

The invention discloses a novel intelligent metropolitan area network deployment method based on cloud network fusion, which realizes a network architecture based on flexible expansion of services by establishing a novel intelligent metropolitan area network system adopting a Spine-Leaf architecture, so that the network can be smoothly expanded along with the increase of service requirements, the flexibility and expandability of the whole network are improved, and the network deployment efficiency is improved. According to the method, a Spine-Leaf architecture is simulated and built in a simulation environment, and the support capability, safety and reliability of a novel intelligent metropolitan area network for different service types are verified through a laboratory simulation test, so that the risk in actual deployment is effectively reduced, the safe and stable operation of services is ensured, a staged implementation strategy is adopted in the deployment method, and the deployment efficiency is improved. The smooth evolution of the network is realized while the existing investment is protected, so that the cost and the risk of network upgrading are reduced, and the continuity and the stability of services are also ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent metropolitan area network deployment, and in particular to a novel intelligent metropolitan area network deployment method based on cloud-network integration. Background Art

[0002] With the rapid development of Internet technology, the performance and flexibility requirements of metropolitan area networks, as an important bridge connecting users and backbone networks, are increasing. The traditional metropolitan area network architecture has gradually revealed its limitations in dealing with large-scale data transmission, low latency requirements, and multi-service integration. Therefore, exploring new intelligent metropolitan area network deployment methods based on cloud-network integration has become a research hotspot in the industry.

[0003] At present, the metropolitan area network is gradually evolving into a new intelligent metropolitan area network based on the spine-leaf architecture. The spine-leaf architecture has brought significant performance improvement to the metropolitan area network through its high scalability, low latency and flexible traffic management capabilities. On this basis, combined with standardized protocols such as segment routing (SR) and Ethernet virtual private network (EVPN), the new metropolitan area network can realize unified bearing of L2 / L3 services, further improving network efficiency. At the same time, in order to meet the different requirements of different services for network performance such as bandwidth, latency, and reliability, the new metropolitan area network has introduced network slicing technology to realize differentiated service bearing. The introduction of this technology not only improves the utilization rate of network resources, but also enhances the network's adaptability to complex business scenarios.

[0004] However, there are still many challenges in the deployment of new metropolitan area networks. On the one hand, operators have invested a lot of money in the current IP metropolitan area networks and 4G / 5G bearer networks. How to achieve smooth evolution of new metropolitan area networks while protecting existing investments has become an urgent problem to be solved. On the other hand, the pilot of the new metropolitan area network is still in exploratory stage, and its performance and reliability in actual business scenarios need further verification. Summary of the invention

[0005] In view of this, the present invention proposes a novel intelligent metropolitan area network deployment method based on cloud-network integration, which can solve the defects of the existing technology, such as difficulty in protecting existing investments, difficulty in achieving smooth evolution, and urgent need for performance and reliability verification.

[0006] The technical solution of the present invention is achieved in this way:

[0007] A new intelligent metropolitan area network deployment method based on cloud-network integration specifically includes:

[0008] Build a new intelligent metropolitan area network system using Spine-Leaf architecture;

[0009] The Spine-Leaf architecture is simulated in a simulation environment;

[0010] Conduct laboratory simulation tests in the simulated Spine-Leaf architecture;

[0011] Output a theoretical research report based on the simulation test results. The report is used to analyze the performance and reliability of the new metropolitan area network in different business scenarios, summarize the problems and challenges found in the experiment, and propose solutions and improvement measures;

[0012] Practical deployment of new intelligent metropolitan area networks based on theoretical research reports.

[0013] As a further optional solution of the new intelligent metropolitan area network deployment method based on cloud-network integration, the construction of a new intelligent metropolitan area network system using the Spine-Leaf architecture specifically includes:

[0014] Identify the business requirements that the new intelligent metropolitan area network needs to support;

[0015] Based on business needs, convert them into corresponding technical requirements;

[0016] According to technical requirements, a hierarchical network architecture based on Spine-Leaf is designed, in which the Spine layer is responsible for core data exchange and provides high-bandwidth, low-latency connections, and the Leaf layer is responsible for access to terminal devices and business systems;

[0017] Equipped with network components according to the designed hierarchical network architecture;

[0018] Plan network resources for various businesses based on business needs and the hierarchical network architecture equipped with network components.

[0019] As a further optional scheme for the new intelligent metropolitan area network deployment method based on cloud-network integration, the methods used to convert business requirements into corresponding technical requirements include segment routing technology, Ethernet virtual private network technology and network slicing technology.

[0020] As a further optional solution of the novel intelligent metropolitan area network deployment method based on cloud-network integration, the Spine-Leaf architecture simulated and constructed in the simulation environment specifically includes:

[0021] Select a representative network environment as the experimental scenario;

[0022] Based on the experimental scenario, a data-centralized computer room environment is constructed using virtualization technology;

[0023] In the virtual machine room environment, Spine and Leaf nodes are built, and SDN controllers, service orchestration systems, vBRAS servers, SRv6 bearer technology, EVPN bearer technology, FlexE bearer technology, as well as 5G base stations, public broadband, and government and enterprise dedicated line services are deployed.

[0024] As a further optional solution of the novel intelligent metropolitan area network deployment method based on cloud-network integration, the virtualization technology is used to build a data-centralized computer room environment based on the experimental scenario, which specifically includes:

[0025] According to the requirements of the experimental scenario, clearly define the hardware resources and network topology that need to be simulated;

[0026] On the virtualization platform, sufficient computing resources, storage resources, and network resources are allocated to the virtual machine room environment based on the results of demand analysis;

[0027] Design a virtual network topology based on the results of the demand analysis, wherein the virtual network topology includes a network hierarchy, IP address planning, and routing protocol configuration;

[0028] A virtual machine is deployed on a virtualization platform, and the virtual machine is used to simulate various servers and network devices in a data center.

[0029] As a further optional solution of the novel intelligent metropolitan area network deployment method based on cloud-network integration, the laboratory simulation test is carried out in the simulated Spine-Leaf architecture, specifically including:

[0030] Cloud VR testing is performed in the simulated Spine-Leaf architecture to test the transmission performance, latency, and reliability of Cloud VR services in the new intelligent metropolitan area network.

[0031] Conduct L2 / L3 private line tests in the simulated Spine-Leaf architecture to test the carrying capacity and service quality of L2 private line services and L3 private line services in the new intelligent metropolitan area network, and verify the effectiveness of network slicing technology;

[0032] Conduct cloud-network integration testing in the simulated Spine-Leaf architecture to test service interoperability and performance in cloud-network integration scenarios;

[0033] During the test, performance indicator data of various business types are collected to obtain simulation test results.

[0034] As a further optional solution of the novel intelligent metropolitan area network deployment method based on cloud-network integration, the output of a theoretical research report based on the simulation test results specifically includes:

[0035] Based on the simulation test results, identify the reliability risk points of the new metropolitan area network in different business scenarios;

[0036] Propose solutions based on existing reliability risk points, including optimizing network topology, adjusting protocol parameters, upgrading hardware equipment, and enhancing software functions;

[0037] Generate a theoretical research report as output based on the existing reliability risk points and corresponding solutions.

[0038] A new intelligent metropolitan area network deployment device based on cloud-network integration, comprising:

[0039] Building modules for building a new intelligent metropolitan area network system using the Spine-Leaf architecture;

[0040] The simulation module is used to simulate the constructed Spine-Leaf architecture in a simulation environment;

[0041] The test module is used to perform laboratory simulation tests in the simulated Spine-Leaf architecture;

[0042] An output module is used to output a theoretical research report based on the simulation test results, wherein the theoretical research report is used to analyze the performance and reliability of the new metropolitan area network in different business scenarios, summarize the problems and challenges found in the experiment, and propose solutions and improvement measures;

[0043] The deployment module is used for the actual deployment of the new intelligent metropolitan area network based on the theoretical research report.

[0044] A computing device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned method for deploying a new intelligent metropolitan area network based on cloud-network integration are implemented.

[0045] A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the above-mentioned method for deploying a novel intelligent metropolitan area network based on cloud-network integration.

[0046] The beneficial effects of the present invention are as follows: by building a new intelligent metropolitan area network system adopting the Spine-Leaf architecture, a network architecture based on flexible business expansion is realized, so that the network can expand smoothly with the growth of business demand, and the flexibility and scalability of the overall network are improved. The Spine-Leaf architecture is simulated and built in a simulation environment, and the support capability and security reliability of the new metropolitan area network for different business types are verified through laboratory simulation tests. This method effectively reduces the risks in actual deployment and ensures the safe and stable operation of the business. By outputting a theoretical research report and conducting an in-depth analysis of the simulation experiment results, corresponding research results and suggestions are put forward. These theoretical results not only provide solid theoretical support for the actual deployment of the new metropolitan area network, but also guide the key steps and precautions in the actual deployment, ensuring the smooth progress of the deployment process. The deployment method adopts a phased implementation strategy to protect existing investments while realizing the smooth evolution of the network, which not only reduces the cost and risk of network upgrades, but also ensures the continuity and stability of the business. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0048] Figure 1 A schematic diagram of the steps of a new intelligent metropolitan area network deployment method based on cloud-network integration provided by an embodiment of the present invention;

[0049] Figure 2 A schematic diagram of the composition of a new intelligent metropolitan area network deployment device based on cloud-network integration provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0050] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] refer to Figure 1 to Figure 2 , a new intelligent metropolitan area network deployment method based on cloud-network integration, specifically including:

[0052] Build a new intelligent metropolitan area network system using Spine-Leaf architecture;

[0053] The Spine-Leaf architecture is simulated in a simulation environment;

[0054] Conduct laboratory simulation tests in the simulated Spine-Leaf architecture;

[0055] Output a theoretical research report based on the simulation test results. The report is used to analyze the performance and reliability of the new metropolitan area network in different business scenarios, summarize the problems and challenges found in the experiment, and propose solutions and improvement measures;

[0056] Practical deployment of new intelligent metropolitan area networks based on theoretical research reports.

[0057] In this embodiment, by building a new intelligent metropolitan area network system using the Spine-Leaf architecture, a network architecture based on flexible business expansion is implemented, so that the network can expand smoothly with the growth of business demand, thereby improving the flexibility and scalability of the overall network. The Spine-Leaf architecture is simulated and built in a simulation environment, and the support capability and security reliability of the new metropolitan area network for different business types are verified through laboratory simulation tests. This method effectively reduces the risks in actual deployment and ensures the safe and stable operation of the business. By outputting a theoretical research report and conducting an in-depth analysis of the simulation experiment results, corresponding research results and suggestions are put forward. These theoretical results not only provide solid theoretical support for the actual deployment of the new metropolitan area network, but also guide the key steps and precautions in the actual deployment, ensuring the smooth progress of the deployment process. This deployment method adopts a phased implementation strategy to protect existing investments while achieving smooth evolution of the network, which not only reduces the cost and risk of network upgrades, but also ensures business continuity and stability.

[0058] Preferably, the construction of a new intelligent metropolitan area network system using the Spine-Leaf architecture specifically includes:

[0059] Identify the business requirements that the new intelligent metropolitan area network needs to support;

[0060] Based on business needs, convert them into corresponding technical requirements;

[0061] According to technical requirements, a hierarchical network architecture based on Spine-Leaf is designed, in which the Spine layer is responsible for core data exchange and provides high-bandwidth, low-latency connections, and the Leaf layer is responsible for access to terminal devices and business systems;

[0062] Equipped with network components according to the designed hierarchical network architecture;

[0063] Plan network resources for various businesses based on business needs and the hierarchical network architecture equipped with network components.

[0064] In this embodiment, by clarifying the business requirements that the new intelligent metropolitan area network needs to support and converting them into specific technical requirements, it is ensured that the network architecture design can accurately match the business requirements, thereby improving the efficiency of business deployment and operation and maintenance; a hierarchical network architecture based on Spine-Leaf is designed to achieve a clear division of network functions. The Spine layer, as the core switching layer, provides a high-speed, low-latency data transmission channel to ensure efficient exchange of core data, while the Leaf layer focuses on the access of terminal devices and business systems, simplifies the access process, and improves access efficiency. This hierarchical design not only optimizes the data flow path, but also improves the overall performance and scalability of the network; according to the designed hierarchical network architecture, corresponding network components are installed, such as standardized protocol groups such as SRv6 and EVPN, and virtualized network devices such as vBRAS, to ensure the complete realization of network functions. At the same time, according to business needs and the installation network components, rationally plan network resources for various services, including bandwidth, latency, reliability and other aspects of resource allocation, to achieve refined management and efficient utilization of network resources; the adoption of the Spine-Leaf architecture makes the network structure more flat, reduces the number of hops and latency of data transmission, thereby significantly improving the overall performance of the network. At the same time, by installing advanced network technologies and equipment, such as SRv6 and vBRAS, the intelligence and automation level of the network is further improved, the operation and maintenance costs are reduced, and the reliability and stability of the network are improved; it should be noted that network intelligent monitoring can also be achieved based on Telemetry and AI technology, real-time monitoring and intelligent analysis of network operation status can be carried out, potential problems can be discovered and handled in a timely manner, and the wisdom and intelligent operation and maintenance level of the network can be improved, which will help reduce operation and maintenance costs, improve operation and maintenance efficiency, and provide strong guarantees for the long-term stable operation of the new intelligent metropolitan area network.

[0065] Preferably, the method used to convert business requirements into corresponding technical requirements includes segment routing technology, Ethernet virtual private network technology and network slicing technology.

[0066] In this embodiment, segment routing (SR) technology realizes flexible selection and dynamic adjustment of network paths by cutting the message forwarding path into different segments and assigning SID (segment identifier) ​​to each segment for identification. This forwarding method based on source routing not only improves the flexibility of the network, but also facilitates network expansion and path optimization. At the same time, SR technology simplifies the complexity of network configuration, allowing network managers to more easily define and maintain network paths, reducing operation and maintenance costs; Ethernet virtual private network (EVPN) technology realizes the unified bearing of L2 (second layer) and L3 (third layer) services, simplifies the network architecture, reduces network complexity, and supports multiple types of services. Flexible access improves the network's business support capabilities. In addition, it provides a tenant isolation mechanism based on MAC addresses to ensure data isolation and security between different tenants, meeting security requirements in different business scenarios. Network slicing technology allows dynamic division of multiple virtual network slices based on different business requirements for network performance such as bandwidth, latency, and reliability. Each slice runs independently without interfering with each other, providing differentiated network services for different businesses. Through network slicing, efficient utilization and dynamic adjustment of network resources can be achieved. When the network load is high, slice resources can be dynamically increased; when the load is low, resources can be released for use by other slices, improving the utilization of network resources.

[0067] It should be noted that SR technology guides the forwarding path of data packets by defining a series of ordered segments in the network, which improves the flexibility and scalability of the network. In the technical requirements conversion stage, if the business requirements require the network to have a high degree of path controllability and dynamic adaptability, then SR technology will become one of the preferred technical requirements. SR technology is particularly suitable for scenarios that require low latency, high reliability and flexible traffic engineering, such as data center interconnection, cloud service provider networks, etc.; EVPN technology provides a method to implement L2VPN (Layer 2 Virtual Private Network) on MPLS networks, which can simplify network design and support network virtualization in large-scale multi-tenant scenarios. In the technical requirements conversion stage, if the business requirements include providing flexible and secure L2 network connections, especially virtual local area network (VLAN) services across multiple geographical locations, then EVPN technology will become a necessary technical requirement. EVPN technology is widely used in data center interconnection, cloud service providers' virtual network services, and virtualization transformation of enterprise networks; Network slicing technology allows the creation of multiple virtual, logically isolated network slices on the same physical network, and each slice can be customized and optimized according to specific business needs. In the stage of technology demand conversion, if business needs require the network to provide differentiated quality of service (QoS) or to support multiple different business scenarios (such as the Internet of Things, mobile broadband, enterprise dedicated lines, etc.), then network slicing technology will become one of the important technical requirements.

[0068] Preferably, the Spine-Leaf architecture simulated and constructed in the simulation environment specifically includes:

[0069] Select a representative network environment as the experimental scenario;

[0070] Based on the experimental scenario, a data-centralized computer room environment is constructed using virtualization technology;

[0071] In the virtual machine room environment, Spine and Leaf nodes are built, and SDN controllers, service orchestration systems, vBRAS servers, SRv6 bearer technology, EVPN bearer technology, FlexE bearer technology, as well as 5G base stations, public broadband, and government and enterprise dedicated line services are deployed.

[0072] In this embodiment, a representative network environment is selected as an experimental scenario, which helps to ensure the universal applicability and reference value of the experimental results. A data-centralized computer room environment is constructed using virtualization technology. This virtualized environment can be quickly deployed and flexibly adjusted to reduce experimental costs and time. In the virtual computer room environment, Spine and Leaf nodes are constructed through virtualization technology. This is the core component of the Spine-Leaf architecture and is responsible for data forwarding and routing. An SDN controller is deployed to achieve centralized control and intelligent management of the network. A service orchestration system is deployed to automatically configure and manage network services. A vBRAS server is deployed. Through software-defined networking (SDN) and network function virtualization (NFV) technologies, the softwareization of hardware functions and the separation of forwarding and control layers are realized to improve performance and scalability. SRv6, EVPN, and FlexE are deployed. The test also tests the deployment of 5G base stations, public broadband, government and enterprise dedicated lines, and other services in a simulated environment to verify the new metropolitan area network's support for different types of services. By building and testing in a simulated environment, the security and reliability of the new metropolitan area network's main services can be quickly verified, and deployment experience can be accumulated to provide strong support for subsequent actual deployment. The virtualized environment allows multiple experiments and tests without affecting the existing network, reducing the risks in actual deployment. The deployment of bearer technologies such as SRv6, EVPN and FlexE enables the new metropolitan area network to support the unified bearing of L2 / L3 services and improve the flexibility and efficiency of the network. By simulating the deployment of 5G base stations, public broadband, government and enterprise dedicated lines, the test verifies the new metropolitan area network's support for different types of services to meet the diverse needs of future network development.

[0073] Preferably, the method of constructing a data-centralized computer room environment using virtualization technology based on the experimental scenario specifically includes:

[0074] According to the requirements of the experimental scenario, clearly define the hardware resources and network topology that need to be simulated;

[0075] On the virtualization platform, sufficient computing resources, storage resources, and network resources are allocated to the virtual machine room environment based on the results of demand analysis;

[0076] Design a virtual network topology based on the results of the demand analysis, wherein the virtual network topology includes a network hierarchy, IP address planning, and routing protocol configuration;

[0077] A virtual machine is deployed on a virtualization platform, and the virtual machine is used to simulate various servers and network devices in a data center.

[0078] In this embodiment, through virtualization technology, multiple virtual environments can be simulated on limited physical resources to maximize the use of computing resources, storage resources and network resources. This method can significantly reduce the cost of experiments and improve the flexibility of resource use. The virtualization platform provides the ability to quickly deploy virtual machines and services, and can quickly build a simulated computer room environment according to experimental requirements. In addition, when the experimental requirements change, the configuration of virtual resources can be easily adjusted to meet new experimental requirements. The virtual network topology designed on the virtualization platform can highly simulate the actual data center network, including network hierarchy, IP address planning and routing protocol configuration, etc. This highly simulated network environment helps to more accurately simulate and test the performance of the new metropolitan area network architecture in actual applications. Virtualization technology can also provide secure isolation between virtual machines to ensure the independence of different experimental environments and prevent mutual influence. At the same time, through the backup and recovery mechanism, the high reliability of the virtual computer room environment can be ensured to reduce the risk of experiments. The computer room environment constructed using virtualization technology can be easily copied and saved, which is convenient for repeated experiments at different times and locations, and improves the repeatability and reproducibility of experimental results. This is very important for scientific research and technical verification, and helps to more accurately evaluate the performance and effect of new technologies or architectures.

[0079] Preferably, the laboratory simulation test is performed in the simulated Spine-Leaf architecture, specifically including:

[0080] Cloud VR testing is performed in the simulated Spine-Leaf architecture to test the transmission performance, latency, and reliability of Cloud VR services in the new intelligent metropolitan area network.

[0081] Conduct L2 / L3 private line tests in the simulated Spine-Leaf architecture to test the carrying capacity and service quality of L2 private line services and L3 private line services in the new intelligent metropolitan area network, and verify the effectiveness of network slicing technology;

[0082] Conduct cloud-network integration testing in the simulated Spine-Leaf architecture to test service interoperability and performance in cloud-network integration scenarios;

[0083] During the test, performance indicator data of various business types are collected to obtain simulation test results.

[0084] In this embodiment, the Cloud VR test can be used to evaluate and optimize the data transmission efficiency of the new intelligent metropolitan area network when supporting virtual reality applications, ensuring a high-definition, low-latency video transmission experience. The test process can accurately measure the latency of the Cloud VR service in the network, and optimize the network configuration based on the test results to provide more reliable, low-latency services and ensure the user's VR experience. The L2 / L3 private line test verifies the private line service carrying capacity of the new intelligent metropolitan area network at different levels (L2, L3) to ensure that it can meet various business requirements. The test results can be used to evaluate the actual effect of the network slicing technology and verify whether it can allocate appropriate bandwidth, latency and other resources according to business requirements, thereby improving the service quality of different businesses. The cloud-network integration test ensures efficient and smooth intercommunication between different business scenarios (such as cloud computing, data centers, etc.), providing cross-platform and cross-business scenarios. The test provides a solid network foundation for business integration. Through testing, key performance indicator data in cloud-network integration scenarios can be obtained, providing strong support for further optimizing network configuration and improving network performance. The performance indicator data of various business types collected during the test can help researchers fully understand the performance of the new intelligent metropolitan area network in different business scenarios, discover potential problems, and provide an important basis for subsequent improvement and optimization. The experimental results obtained through simulation tests can more accurately guide the actual deployment of the new intelligent metropolitan area network, reduce deployment risks, improve deployment efficiency, and ensure the stability and reliability of the new intelligent metropolitan area network in actual operation.

[0085] Preferably, the output of the theoretical research report according to the simulation test results specifically includes:

[0086] Based on the simulation test results, identify the reliability risk points of the new metropolitan area network in different business scenarios;

[0087] Propose solutions based on existing reliability risk points, including optimizing network topology, adjusting protocol parameters, upgrading hardware equipment, and enhancing software functions;

[0088] Generate a theoretical research report as output based on the existing reliability risk points and corresponding solutions.

[0089] In this embodiment, through careful simulation tests, it is possible to accurately identify the new metropolitan area network in different business scenarios (such as Cloud The reliability risk points of the VR, L2 / L3 dedicated lines, etc., which may include network congestion, long latency, packet loss, protocol compatibility issues, etc., directly affect the stable operation of the business and user experience; according to the problems found in the test, the network topology can be optimized, such as adjusting the distribution of Spine and Leaf nodes and adding redundant links to improve the robustness and fault tolerance of the network. For protocols such as SRv6 and EVPN, the packet forwarding efficiency can be improved by adjusting the protocol parameters, reducing the forwarding latency, and improving the overall performance of the network. For performance bottlenecks, it may be necessary to upgrade hardware equipment, such as replacing higher-performance switches and routers, to support larger data forwarding volumes and higher concurrent processing capabilities. By upgrading or optimizing software, such as SDN controllers and service orchestration systems, the management efficiency and intelligence level of the network can be improved, and the reliability and stability of the network can be further improved. The theoretical research report will systematically summarize the simulation test process, the problems found, the proposed solutions, and the technical effect evaluation. This report not only provides valuable experience and guidance for the actual deployment of the new metropolitan area network, but also lays a solid foundation for subsequent technical research and optimization.

[0090] A new intelligent metropolitan area network deployment device based on cloud-network integration, comprising:

[0091] Building modules for building a new intelligent metropolitan area network system using the Spine-Leaf architecture;

[0092] The simulation module is used to simulate the constructed Spine-Leaf architecture in a simulation environment;

[0093] The test module is used to perform laboratory simulation tests in the simulated Spine-Leaf architecture;

[0094] An output module is used to output a theoretical research report based on the simulation test results, wherein the theoretical research report is used to analyze the performance and reliability of the new metropolitan area network in different business scenarios, summarize the problems and challenges found in the experiment, and propose solutions and improvement measures;

[0095] The deployment module is used for the actual deployment of the new intelligent metropolitan area network based on the theoretical research report.

[0096] A computing device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned method for deploying a new intelligent metropolitan area network based on cloud-network integration are implemented.

[0097] A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the above-mentioned method for deploying a novel intelligent metropolitan area network based on cloud-network integration.

[0098] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions or improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0099] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A new intelligent metropolitan area network deployment method based on cloud-network integration, characterized in that: Specifically include: Build a new intelligent metropolitan area network system using Spine-Leaf architecture; The Spine-Leaf architecture is simulated in a simulation environment; Conduct laboratory simulation tests in the simulated Spine-Leaf architecture; Output a theoretical research report based on the simulation test results. The report is used to analyze the performance and reliability of the new metropolitan area network in different business scenarios, summarize the problems and challenges found in the experiment, and propose solutions and improvement measures; Practical deployment of new intelligent metropolitan area networks based on theoretical research reports.

2. According to claim 1, a new intelligent metropolitan area network deployment method based on cloud-network integration is characterized in that: The construction of a new intelligent metropolitan area network system using the Spine-Leaf architecture specifically includes: Identify the business requirements that the new intelligent metropolitan area network needs to support; Based on business needs, convert them into corresponding technical requirements; According to technical requirements, a hierarchical network architecture based on Spine-Leaf is designed, in which the Spine layer is responsible for core data exchange and provides high-bandwidth, low-latency connections, and the Leaf layer is responsible for access to terminal devices and business systems; Equipped with network components according to the designed hierarchical network architecture; Plan network resources for various businesses based on business needs and the hierarchical network architecture equipped with network components.

3. According to claim 2, a new intelligent metropolitan area network deployment method based on cloud-network integration is characterized in that: The methods used to convert business requirements into corresponding technical requirements include segment routing technology, Ethernet virtual private network technology and network slicing technology.

4. A new intelligent metropolitan area network deployment method based on cloud-network integration according to claim 3, characterized in that: The Spine-Leaf architecture simulated and constructed in the simulation environment specifically includes: Select a representative network environment as the experimental scenario; Based on the experimental scenario, a data-centralized computer room environment is constructed using virtualization technology; In the virtual machine room environment, Spine and Leaf nodes are built, and SDN controllers, service orchestration systems, vBRAS servers, SRv6 bearer technology, EVPN bearer technology, FlexE bearer technology, as well as 5G base stations, public broadband, and government and enterprise dedicated line services are deployed.

5. A new intelligent metropolitan area network deployment method based on cloud-network integration according to claim 4, characterized in that: Based on the experimental scenario, a data-centralized computer room environment is constructed using virtualization technology, specifically including: According to the requirements of the experimental scenario, clearly define the hardware resources and network topology that need to be simulated; On the virtualization platform, sufficient computing resources, storage resources, and network resources are allocated to the virtual room environment based on the results of demand analysis; Design a virtual network topology based on the results of the demand analysis, wherein the virtual network topology includes a network hierarchy, IP address planning, and routing protocol configuration; A virtual machine is deployed on a virtualization platform, and the virtual machine is used to simulate various servers and network devices in a data center.

6. A new intelligent metropolitan area network deployment method based on cloud-network integration according to claim 5, characterized in that: In the simulated Spine-Leaf architecture, laboratory simulation tests are conducted, including: Cloud VR testing is performed in the simulated Spine-Leaf architecture to test the transmission performance, latency, and reliability of Cloud VR services in the new intelligent metropolitan area network. Conduct L2 / L3 private line tests in the simulated Spine-Leaf architecture to test the carrying capacity and service quality of L2 private line services and L3 private line services in the new intelligent metropolitan area network, and verify the effectiveness of network slicing technology; Conduct cloud-network integration testing in the simulated Spine-Leaf architecture to test service interoperability and performance in cloud-network integration scenarios; During the test, performance indicator data of various business types are collected to obtain simulation test results.

7. A new intelligent metropolitan area network deployment method based on cloud-network integration according to claim 6, characterized in that: According to the simulation test results, a theoretical research report is output, which specifically includes: Based on the simulation test results, identify the reliability risk points of the new metropolitan area network in different business scenarios; Propose solutions based on existing reliability risk points, including optimizing network topology, adjusting protocol parameters, upgrading hardware equipment, and enhancing software functions; Generate a theoretical research report as output based on the existing reliability risk points and corresponding solutions.

8. A new intelligent metropolitan area network deployment device based on cloud-network integration, characterized in that: include: A construction module is used to obtain three-dimensional data of complex terrain and build a terrain model based on the three-dimensional data; The path planning module is used to generate the communication cable laying path based on the terrain model and construction requirements by using the simulated annealing algorithm; A laying module is used to lay communication cables based on the communication cable laying path using an adaptive cable laying robot; Acquisition module, used to acquire various data and on-site images during the construction process to the monitoring center in real time; The judgment module is used by the monitoring center to judge the construction status based on the acquired data and on-site images.

9. A computing device, characterized in that It includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the new intelligent metropolitan area network deployment method based on cloud-network integration as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, which, when executed by a processor, implements the steps of the new intelligent metropolitan area network deployment method based on cloud-network integration as described in any one of claims 1-7.

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