Telecommunication industry cloud resource pool resource management system and method

Abstract

The invention discloses a telecommunication industry cloud resource pool resource management system and method. The system comprises a multi-cloud management platform, a heterogeneous resource pool, a uniform resource arrangement module, a capacity planning module, a uniform monitoring module, an intelligent operation and maintenance module and a security audit module. The multi-cloud management platform realizes unified management of public cloud, private cloud and heterogeneous resources; the heterogeneous resource pool is used for providing calculation and storage resources; the uniform resource arrangement module realizes automatic arrangement and deployment of cloud resources; the capacity planning module plans the capacity of the cloud resource pool; the unified monitoring module monitors the cloud resource pool; the intelligent operation and maintenance module analyzes and finds potential faults and risk points, and carries out early warning and disposal; and the security auditing module provides an auditing function for the use condition of the cloud resources. According to the method, the resource management process can be simplified, the management efficiency is improved, the labor cost and the operation and maintenance cost are reduced, and the resource scheduling flexibility and the operation and maintenance efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of cloud computing in the telecommunications industry, and in particular to a cloud resource pool resource management system and method for the telecommunications industry. Background Art

[0002] With the rapid development of information technology, the telecommunications industry is gradually promoting digital transformation. As a key technology in this transformation, cloud computing plays an increasingly important and indispensable role in the telecommunications industry with its elastic expansion, resource pooling and on-demand services. It not only provides telecom operators with powerful data processing and storage capabilities, but also gives rise to new business models and further broadens the scope of telecommunications services.

[0003] However, the increasing size and complexity of cloud resource pools in the telecommunications industry poses challenges to management. Resources are widely distributed, covering a variety of physical and virtual environments from urban centers to remote areas; resource types are diverse, including computing, storage, network and other infrastructure; and there is heterogeneity, with equipment from different manufacturers and technical architectures coexisting. All of these factors increase the difficulty of effective resource integration and management. These challenges directly affect the efficiency of resource management and scheduling, making it difficult to quickly adapt to market demand and business changes; at the same time, the complex operation and maintenance environment also increases operation and maintenance costs, which has an adverse impact on the overall operational benefits of telecom operators.

[0004] Therefore, it is particularly important to develop a system that can achieve unified management, efficient scheduling and intelligent operation and maintenance of the cloud resource pool in the telecommunications industry. Summary of the invention

[0005] The present invention provides a cloud resource pool resource management system and method for the telecommunications industry to solve the problems of low cloud resource pool management efficiency, inflexible resource scheduling, and insufficient intelligent operation and maintenance in the prior art.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] The present invention provides a telecommunication industry cloud resource pool resource management system and method, including:

[0008] Multi-cloud management platform, heterogeneous resource pool, unified resource orchestration module, capacity planning module, unified monitoring module, intelligent operation and maintenance module, and security audit module;

[0009] The multi-cloud management platform adopts virtual data center technology to achieve unified management of public clouds, private clouds and heterogeneous resources;

[0010] The heterogeneous resource pool includes a heterogeneous computing resource pool and a heterogeneous storage resource pool, which are used to provide computing and storage resources;

[0011] The unified resource orchestration module describes the configuration and dependency of cloud resources through templates or visualization tools to achieve automatic orchestration and deployment of cloud resources;

[0012] The capacity planning module is responsible for planning the capacity of the cloud resource pool according to current resource usage, business needs and future development trends;

[0013] The unified monitoring module is used to monitor the operating status, real-time performance and availability capacity of the cloud resource pool;

[0014] The intelligent operation and maintenance module uses artificial intelligence and big data technologies to analyze the operation data of the cloud resource pool, discover potential failures and risk points, and provide early warning and disposal;

[0015] The security audit module is responsible for the formulation, implementation and monitoring of security policies for the cloud resource pool, and provides an audit function for the use of cloud resources.

[0016] The multi-cloud management platform, unified resource orchestration module, capacity planning module, and intelligent operation and maintenance module are deployed in the cloud;

[0017] Furthermore, the telecommunication industry cloud resource pool resource management system and method is characterized by comprising the following steps:

[0018] The S1 multi-cloud management platform integrates public cloud, private cloud and heterogeneous resources into a unified management scope, synchronizes resource information, monitors resource status, and prepares for resource scheduling;

[0019] S2, unified resource orchestration module describes the configuration and dependencies of cloud resources, and automatically orchestrates and deploys cloud resources according to business needs;

[0020] S3, the capacity planning module and the unified monitoring module perform unified planning and real-time monitoring of the capacity of the cloud resource pool to achieve resource allocation;

[0021] S4, the intelligent operation and maintenance module collects and analyzes the operation data of the cloud resource pool, identifies potential failures and risk points, issues early warning signals, and automatically triggers corresponding disposal measures;

[0022] S5. The security audit module formulates and implements security policies, monitors the security status of the cloud resource pool, and records and analyzes the use of cloud resources through audit functions.

[0023] The beneficial effects brought about by the technical solution provided by the present invention include at least: a multi-cloud management platform, a heterogeneous resource pool, a unified resource orchestration module, a capacity planning module, a unified monitoring module, an intelligent operation and maintenance module, and a security audit module; the multi-cloud management platform realizes the unified management of public clouds, private clouds and heterogeneous resources; the heterogeneous resource pool is used to provide computing and storage resources; the unified resource orchestration module realizes the automatic orchestration and deployment of cloud resources; the capacity planning module plans the capacity of the cloud resource pool; the unified monitoring module monitors the operating status, real-time performance and availability capacity of the cloud resource pool; the intelligent operation and maintenance module analyzes and discovers potential faults and risk points, and issues early warnings and disposals; the security audit module provides an audit function for the use of cloud resources.

[0024] The present invention realizes unified management of public clouds, private clouds and heterogeneous resources through a multi-cloud management platform, simplifies the resource management process, improves management efficiency, provides a unified view and interface, facilitates viewing and management of resources in different cloud environments, and reduces management complexity.

[0025] The present invention realizes automatic arrangement and deployment of cloud resources through a unified resource arrangement module, reduces the error rate and cost of manual operation, and improves the flexibility and efficiency of resource scheduling.

[0026] The present invention plans the capacity of the cloud resource pool through a capacity planning module, thereby ensuring the adequacy and rationality of resources, avoiding waste and shortage of resources, and improving resource utilization and business stability.

[0027] The present invention realizes comprehensive monitoring of the cloud resource pool through a unified monitoring module, ensures the stability and reliability of the system, and can timely discover potential performance bottlenecks and problems by capturing and analyzing performance data, providing a basis for optimization and adjustment.

[0028] The present invention can discover potential faults and risk points in advance through the intelligent operation and maintenance module, improve the predictability and safety of the system, automatically trigger corresponding disposal measures, reduce operation and maintenance costs, and improve operation and maintenance efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. 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 creative work.

[0030] Figure 1 is a system module architecture diagram provided by an embodiment of the present invention;

[0031] Figure 2A flow chart of an operating method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0032] To make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0033] First embodiment

[0034] Usage scenarios of the present invention: According to the notice on issuing the China Telecom Anhui Company Cloud Resource Pool Maintenance Management Measures, the notice on issuing the branch industry cloud security plan guidance, the notice on implementing the province's industry cloud resource pool unified scheduling management process, and the Anhui Telecom Industry Cloud (Ali Zstack) Resource Pool Business Operation Specifications, the Tongling Industry Cloud is accepted.

[0035] This embodiment provides a telecommunications industry cloud resource pool resource management system and method, which is characterized by including:

[0036] Multi-cloud management platform, heterogeneous resource pool, unified resource orchestration module, capacity planning module, unified monitoring module, intelligent operation and maintenance module, and security audit module;

[0037] The multi-cloud management platform adopts virtual data center technology to achieve unified management of public clouds, private clouds and heterogeneous resources;

[0038] The heterogeneous resource pool includes a heterogeneous computing resource pool and a heterogeneous storage resource pool, which are used to provide computing and storage resources;

[0039] The unified resource orchestration module describes the configuration and dependency of cloud resources through templates or visualization tools to achieve automatic orchestration and deployment of cloud resources;

[0040] The capacity planning module is responsible for planning the capacity of the cloud resource pool according to current resource usage, business needs and future development trends;

[0041] The unified monitoring module is used to monitor the operating status, real-time performance and availability capacity of the cloud resource pool;

[0042] The intelligent operation and maintenance module uses artificial intelligence and big data technologies to analyze the operation data of the cloud resource pool, discover potential failures and risk points, and provide early warning and disposal;

[0043] The security audit module is responsible for the formulation, implementation and monitoring of security policies for the cloud resource pool, and provides an audit function for the use of cloud resources.

[0044] Please refer to Figure 1 It is a system module architecture diagram provided by an embodiment of the present invention.

[0045] For the telecommunications industry cloud resource pool resource management system and method in this embodiment, its hardware deployment should include the following:

[0046] The multi-cloud management platform, unified resource orchestration module, capacity planning module, and intelligent operation and maintenance module are deployed in the cloud;

[0047] The heterogeneous resource pool, unified monitoring module, and security audit module are deployed on the server side;

[0048] The multi-cloud management platform is a core component, the heterogeneous resource pool is a basic component, and the unified resource orchestration module, capacity planning module, unified monitoring module, intelligent operation and maintenance module, and security audit module together constitute other auxiliary components.

[0049] 1. Multi-cloud management platform:

[0050] The multi-cloud management platform uses virtual data center technology to achieve unified management. Through a unified view and interface, resources in different cloud environments can be viewed and managed. Unified management includes synchronization of resource information, monitoring of resource status, and scheduling of resource requests.

[0051] Virtual data center technology is a virtualization technology that abstracts physical data center resources into virtual resources to form a virtual data center, so that the resources of different data centers are logically regarded as a global large data center;

[0052] Public cloud is a cloud service provided by a third-party service provider, private cloud is a cloud service built by the enterprise itself, and heterogeneous resources refer to hardware and software resources of different brands, models or architectures.

[0053] It should be noted that the core value of a multi-cloud management platform lies in its ability to manage cross-cloud environments. The operation and maintenance of a cloud platform must adhere to the principles of integrated operation and maintenance systems, unified resource management, and unified maintenance processes and standards.

[0054] Real-time synchronization of resource information ensures that users can obtain the latest resource status and usage; resource status monitoring enables users to promptly identify and resolve potential performance bottlenecks or security issues; resource request scheduling can automatically or manually adjust resource allocation based on business needs, resource availability, and cost-effectiveness to meet changing workload requirements.

[0055] Virtual data center technology enables the resources of different data centers to be logically viewed as a global big data center, achieving unified management and optimized scheduling of resources, supporting resource scheduling and load balancing strategies, and being able to dynamically adjust resource allocation according to different workload requirements.

[0056] Public cloud and private cloud are the two main service models in the field of cloud computing. Public cloud is a cloud service provided by Alibaba Cloud, which can be accessed and used through the Internet. Private cloud is a cloud service built by an enterprise, usually deployed within the enterprise or in a trusted data center.

[0057] The existence of heterogeneous resources is a common phenomenon. Since the hardware and software products provided by different suppliers have different performance and functional characteristics, in practical applications, it is often necessary to integrate these heterogeneous resources into a unified cloud platform for management and utilization.

[0058] 2. Heterogeneous resource pool:

[0059] Heterogeneous computing resource pools include servers with different virtualization technologies and physical servers with different architectures. Servers with different virtualization technologies include VMware and OpenStack, and physical servers with different architectures include KVM, BareMetal, and PowerVC.

[0060] The heterogeneous storage resource pool includes centralized storage and distributed storage resources. Centralized storage provides storage for critical data and data that requires fast access, while distributed storage provides storage for unstructured data and backup data.

[0061] It should be noted that the heterogeneous computing resource pool selects OpenStack and BareMetal. OpenStack is an open source cloud computing management platform that provides management and scheduling functions for virtualized resources. In the cloud resource pool of China Telecom Anhui Company, OpenStack is used to build and manage large-scale cloud infrastructure and support the automated deployment and operation and maintenance of various cloud services. BareMetal refers to physical servers that have not been processed by virtualization technology and directly provide computing resources to applications or services. In the cloud resource pool of China Telecom Anhui Company, BareMetal is used for application scenarios that require high performance and low latency.

[0062] Heterogeneous storage resource pool In the cloud resource pool of China Telecom Anhui Company, centralized storage is used to store important data, backup and restore data; in the cloud resource pool of China Telecom Anhui Company, distributed storage is used to support application scenarios such as cloud computing, big data and artificial intelligence, providing efficient data storage and access capabilities.

[0063] 3. Unified resource arrangement module:

[0064] A template is a predefined resource configuration solution that contains all the information required to create cloud resources and the dependencies between these resources. Cloud resources can be created and configured through templates without manual operations. Templates can be reused and saved to quickly deploy the same resource environment when needed.

[0065] Visualization tools provide a graphical interface to build cloud resource configuration and dependency relationships. Visualization tools support real-time preview and verification. Before creating resources, you can preview resource configuration effects through the visualization interface to make adjustments and optimizations.

[0066] Automated orchestration refers to the process of automatically creating and configuring cloud resources based on predefined templates or rules. The process includes creating resources, setting configuration parameters, and establishing dependencies.

[0067] Automated deployment refers to deploying configured cloud resources to a specified environment so that they can run normally and provide services, including starting, initializing, and testing resources.

[0068] It should be noted that in the actual operation of the Tongling Telecom Industry Cloud, the template not only contains all the basic information required to create cloud resources, but also defines in detail the dependencies and configuration parameters between these resources, so that operation and maintenance personnel can directly select and use these templates when creating new cloud resources, thus avoiding the tedious manual configuration process.

[0069] Compared with traditional command lines or scripts, the visualization tools of Tongling Telecom Industry Cloud provide a more intuitive and simpler operation method. Users do not need to have a deep technical background and can complete complex resource deployment tasks through simple drag and drop and configuration.

[0070] In the Tongling Telecom Industry Cloud, the automated orchestration process is highly automated and requires no human intervention, which improves the efficiency and accuracy of resource deployment, reduces the possibility of human errors, and has good scalability. As business needs grow and change, new templates or rules can be easily added to adapt to different resource deployment needs.

[0071] In the Tongling Telecom Industry Cloud, the automated deployment environment includes the production environment, test environment, and any other required environment.

[0072] 4. Capacity planning module:

[0073] The capacity planning module understands the actual usage of current resources and potential bottlenecks through resource usage, predicts the future demand for resources and demand types through business needs, and formulates capacity planning plans based on future development trends;

[0074] Resource usage refers to the actual usage of various resources in the current cloud resource pool, including CPU usage, memory usage, storage usage, and remaining capacity;

[0075] Business requirements are current and future business needs, including the number, type, quality, performance requirements, and number of users of currently running applications and services;

[0076] Future development trends refer to factors that will affect future demand for resources, including technological advances, changes in market demand, and business growth forecasts.

[0077] It should be noted that the resource usage of the cloud resource pool in the Tongling Telecom Industry not only focuses on hardware resource indicators, but also considers the naming rules, issuance rules, snapshot management, and network configuration security specifications of the cloud host to ensure the effective use of resources and the timely discovery of potential bottlenecks.

[0078] Business needs Based on the number and types of currently running applications and services, you can understand the actual load and resource usage of the resource pool; according to the different quality and performance requirements of different applications and services, you can reasonably allocate resources; according to the number of users, adjust the demand for resources.

[0079] Technological progress in future development trends means that as new technologies continue to emerge, new requirements will be put forward for the configuration and management of resource pools; changes in market demand will affect the configuration and planning of resource pools; based on business growth forecasts, we can understand the demand trends and changes in resource pools in the future.

[0080] 5. Unified monitoring module:

[0081] The unified monitoring module can continuously track the resources in the cloud resource pool, including the switch status, error logs, and warning information of servers, storage devices, and network devices;

[0082] The unified monitoring module can capture the performance data of the cloud resource pool, including CPU usage, memory occupancy, network throughput, and disk I / O;

[0083] The unified monitoring module can continuously track the available capacity of various resources in the cloud resource pool, including storage space, computing power, and network bandwidth.

[0084] It should be noted that the unified monitoring module can compare and analyze the collected data with historical data, helping operation and maintenance personnel to better understand the operating status of the cloud resource pool and provide strong support for future optimization and expansion.

[0085] The performance data captured by the unified monitoring module can intuitively reflect the current processing capacity and load of the cloud resource pool. By monitoring these performance indicators, operation and maintenance personnel can promptly discover performance bottlenecks and insufficient resources, and take corresponding measures to optimize and adjust.

[0086] The available capacity tracked by the unified monitoring module is an important indicator for evaluating whether the cloud resource pool can meet future business needs. By monitoring the available capacity of these resources, operation and maintenance personnel can promptly understand the expansion needs of the cloud resource pool and make corresponding plans and preparations in advance.

[0087] 6. Intelligent operation and maintenance module:

[0088] Based on the analysis results, the intelligent operation and maintenance module can identify potential faults and risk points in the cloud resource pool, issue early warning signals, and automatically trigger corresponding disposal measures. Potential faults and risk points include hardware failures, software vulnerabilities, and performance bottlenecks. Disposal measures include resource expansion, fault isolation, and system recovery.

[0089] Artificial intelligence technologies include machine learning and deep learning, which can realize intelligent analysis and prediction of data; big data technology is used to process and analyze large-scale data.

[0090] It should be noted that when the intelligent operation and maintenance module detects potential faults and risk points, it will immediately issue a warning signal to ensure that the operation and maintenance team can obtain key information in a timely manner and has the ability to automatically trigger corresponding disposal measures, including automatically starting the resource expansion process, quickly isolating faulty nodes or performing system recovery operations, thereby effectively reducing the impact of faults on business operations.

[0091] The artificial intelligence technology behind the intelligent operation and maintenance module allows the module to learn from historical data and establish accurate analysis models to achieve intelligent analysis and prediction of current data streams. By learning the normal and abnormal modes of system operation, the module can more accurately determine when to issue early warning signals and optimize its selection of disposal measures.

[0092] 7. Security Audit Module:

[0093] Security policy formulation includes access control policy, data encryption policy, and security isolation policy. Access control policy is used for user identity authentication and authority management. Data encryption policy is used to ensure the security of data during transmission and storage. Security isolation policy is used to achieve resource isolation between different tenants through virtual network technology.

[0094] Security policy implementation is to apply the formulated security policy to the cloud resource pool so that the policy can be executed in actual operations;

[0095] Security policy monitoring refers to the continuous monitoring and evaluation of the security status of the cloud resource pool to detect and respond to potential security threats or violations;

[0096] The audit function of the security audit module can record and analyze the use of cloud resources, including resource allocation, access, and usage duration, to prevent resource waste and discover potential security vulnerabilities or violations.

[0097] It should be noted that in the Tongling Telecom Industry Cloud Resource Pool, access control strategies can be implemented through cloud host security group rules and firewall rule configuration specifications; data encryption strategies include using SSL encryption technology to protect the security of data transmission, and using disk encryption technology to protect the security of stored data; security isolation strategies can be implemented through cloud host network planning such as VPC networks and private networks.

[0098] In the Anhui Telecom Industry Cloud, the implementation of security policies may include the following aspects: Network equipment configuration: According to the requirements of the security policy, configure network equipment such as firewalls and switches to ensure the secure transmission and access control of network traffic; Cloud host configuration: Configure security group rules and firewall rules for the cloud host to ensure the security of the cloud host; System patches and virus protection: Regularly update system patches for the cloud host and install antivirus software to prevent the intrusion of viruses and malware; Security auditing and monitoring: Through security auditing and monitoring tools, monitor the security status of the cloud platform in real time, and promptly discover and handle security incidents.

[0099] Please refer to Figure 2 A flow chart of an operating method provided by an embodiment of the present invention.

[0100] The telecommunications industry cloud resource pool resource management system and method in this embodiment include the following steps:

[0101] The S1 multi-cloud management platform integrates public cloud, private cloud and heterogeneous resources into a unified management scope, synchronizes resource information, monitors resource status, and prepares for resource scheduling;

[0102] It should be noted that according to the "Notice on Issuing the China Telecom Anhui Company Cloud Resource Pool Maintenance and Management Measures (2019 Edition)", one of the basic goals of cloud platform operation and maintenance is to ensure the operation quality of the cloud computing platform and reasonably control maintenance costs. The multi-cloud management platform can bring different types of cloud resources under unified management, which will help to achieve unified allocation and efficient use of resources, thereby reducing costs and improving service quality.

[0103] S2, unified resource orchestration module describes the configuration and dependencies of cloud resources, and automatically orchestrates and deploys cloud resources according to business needs;

[0104] It should be noted that according to the "Notice on the Implementation of the Unified Scheduling and Management Process of the Provincial Industry Cloud Resource Pool", the unified management process of the resource pool includes the monitoring and allocation of resource utilization, and the unified resource orchestration module can automatically orchestrate and deploy cloud resources according to business needs, thereby realizing flexible scheduling and optimal configuration of resources.

[0105] S3, the capacity planning module and the unified monitoring module perform unified planning and real-time monitoring of the capacity of the cloud resource pool to achieve resource allocation;

[0106] It should be noted that in the Tongling Telecom industry, the capacity planning of the resource pool needs to comprehensively consider factors such as business needs, resource utilization and cost-effectiveness, and the unified monitoring module can monitor the operating status of the cloud resource pool in real time, and promptly discover and handle potential problems. According to the "Anhui Telecom Industry Cloud (Ali Zstack) Resource Pool Business Operation Specifications V3.1", the configuration security specifications of the cloud host and the main storage allocation rules need to be strictly planned and monitored to ensure the effective use of resources and the stable operation of the business.

[0107] S4, the intelligent operation and maintenance module collects and analyzes the operation data of the cloud resource pool, identifies potential failures and risk points, issues early warning signals, and automatically triggers corresponding disposal measures;

[0108] It should be noted that in the Tongling Telecom industry, according to the "Notice on Issuing the China Telecom Anhui Company Cloud Resource Pool Maintenance Management Measures (2019 Edition)", one of the tasks of cloud platform operation and maintenance is to implement preventive maintenance and eliminate cloud platform equipment failures and information security risks. The intelligent operation and maintenance module can promptly detect potential failures and risk points, and automatically trigger corresponding disposal measures, thereby achieving the goal of preventive maintenance.

[0109] S5. The security audit module formulates and implements security policies, monitors the security status of the cloud resource pool, and records and analyzes the use of cloud resources through audit functions.

[0110] It should be noted that in Anhui Telecom's industry, according to the "Notice on Issuing the Guiding Opinions on the Branch Industry Cloud Security Plan (Trial Draft)", the industry cloud platform needs to meet certain security requirements, including information content filtering, firewall anti-virus modules, and security audits, which help ensure the security and compliance of the cloud resource pool and protect customer business and data security.

[0111] In addition, it should be noted that the present invention can be provided as a method, an apparatus or a computer program product. Therefore, the embodiments of the present invention can take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the embodiments of the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code.

[0112] The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, an embedded processor, or other programmable data processing terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0113] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device, so that a series of operation steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable terminal device provide for implementing the process in the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0114] It should also be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0115] Finally, it should be noted that the above is a preferred embodiment of the present invention. It should be pointed out that although the preferred embodiment of the present invention has been described, for those skilled in the art, once the basic creative concept of the present invention is known, several improvements and modifications can be made without departing from the principles of the present invention, and these improvements and modifications should also be regarded as the protection scope of the present invention. Therefore, the attached claims are intended to be interpreted as including the preferred embodiment and all changes and modifications that fall within the scope of the embodiments of the present invention.

Claims

1. A telecommunications industry cloud resource pool resource management system and method, characterized in that: include: Multi-cloud management platform, heterogeneous resource pool, unified resource orchestration module, capacity planning module, unified monitoring module, intelligent operation and maintenance module, and security audit module; The multi-cloud management platform adopts virtual data center technology to achieve unified management of public clouds, private clouds and heterogeneous resources; The heterogeneous resource pool includes a heterogeneous computing resource pool and a heterogeneous storage resource pool, which are used to provide computing and storage resources; The unified resource orchestration module describes the configuration and dependency of cloud resources through templates or visualization tools to achieve automatic orchestration and deployment of cloud resources; The capacity planning module is responsible for planning the capacity of the cloud resource pool according to current resource usage, business needs and future development trends; The unified monitoring module is used to monitor the operating status, real-time performance and availability capacity of the cloud resource pool; The intelligent operation and maintenance module uses artificial intelligence and big data technologies to analyze the operation data of the cloud resource pool, discover potential failures and risk points, and provide early warning and disposal; The security audit module is responsible for the formulation, implementation and monitoring of security policies for the cloud resource pool, and provides an audit function for the use of cloud resources.

2. The telecommunications industry cloud resource pool resource management system and method as claimed in claim 1, characterized in that: Said, wherein: The multi-cloud management platform, unified resource orchestration module, capacity planning module, and intelligent operation and maintenance module are deployed in the cloud; The heterogeneous resource pool, unified monitoring module, and security audit module are deployed on the server side; The multi-cloud management platform is a core component, the heterogeneous resource pool is a basic component, and the unified resource orchestration module, capacity planning module, unified monitoring module, intelligent operation and maintenance module, and security audit module together constitute other auxiliary components.

3. The telecommunications industry cloud resource pool resource management system and method as claimed in claim 1, characterized in that: The multi-cloud management platform adopts virtual data center technology to achieve unified management of public clouds, private clouds and heterogeneous resources, including: The multi-cloud management platform uses virtual data center technology to achieve unified management. Through a unified view and interface, resources in different cloud environments can be viewed and managed. The unified management includes synchronization of resource information, monitoring of resource status, and scheduling of resource requests. The virtual data center technology is a virtualization technology that abstracts physical data center resources into virtual resources to form a virtual data center, so that resources in different data centers are logically regarded as a global large data center; The public cloud is a cloud service provided by a third-party service provider, the private cloud is a cloud service built by the enterprise itself, and the heterogeneous resources refer to hardware and software resources of different brands, models or architectures.

4. The telecommunications industry cloud resource pool resource management system and method as claimed in claim 1, characterized in that: The heterogeneous resource pool includes a heterogeneous computing resource pool and a heterogeneous storage resource pool, which are used to provide computing and storage resources, wherein: The heterogeneous computing resource pool includes servers with different virtualization technologies and physical servers with different architectures. The servers with different virtualization technologies include VMware and OpenStack, and the physical servers with different architectures include KVM, BareMetal, and PowerVC. The heterogeneous storage resource pool includes centralized storage and distributed storage resources. The centralized storage provides storage for key data and data that requires fast access, and the distributed storage provides storage for unstructured data and backup data.

5. The telecommunications industry cloud resource pool resource management system and method as claimed in claim 1, characterized in that: The unified resource orchestration module describes the configuration and dependency of cloud resources through templates or visualization tools to achieve automatic orchestration and deployment of cloud resources, where: The template is a predefined resource configuration scheme that contains all the information required to create cloud resources and the dependencies between these resources. Cloud resources can be created and configured through templates without manual operations. Templates support reuse and can be saved to quickly deploy the same resource environment when needed. The visualization tool is used to provide a graphical interface in which the configuration and dependency of cloud resources are constructed. The visualization tool supports real-time preview and verification. Before creating resources, the configuration effect of resources can be previewed through the visualization interface to make adjustments and optimizations. The automated orchestration refers to the process of automatically creating and configuring cloud resources according to predefined templates or rules, including the creation of resources, setting of configuration parameters, and establishment of dependencies; The automated deployment refers to deploying the configured cloud resources into a specified environment so that they can run normally and provide services, including starting, initializing, and testing the resources.

6. The telecommunications industry cloud resource pool resource management system and method as claimed in claim 1, characterized in that: The capacity planning module is responsible for planning the capacity of the cloud resource pool based on current resource usage, business needs, and future development trends, including: The capacity planning module understands the actual usage and potential bottlenecks of current resources through resource usage, predicts the future demand for resources and demand types through business needs, and formulates capacity planning plans based on future development trends; The resource usage refers to the actual usage of various resources in the current cloud resource pool, including CPU usage, memory usage, storage usage, and remaining capacity; The business requirements are current and future business requirements, including the number, type, quality, performance requirements and number of users of currently running applications and services; The future development trends refer to factors that will affect future demand for resources, including technological advances, changes in market demand, and business growth forecasts.

7. The telecommunications industry cloud resource pool resource management system and method as claimed in claim 1, characterized in that: The unified monitoring module is used to monitor the operating status, real-time performance, and availability and capacity of the cloud resource pool, wherein: The unified monitoring module can continuously track the resources in the cloud resource pool, including the switch status, error logs, and warning information of servers, storage devices, and network devices; The unified monitoring module can capture the performance data of the cloud resource pool, including CPU usage, memory occupancy, network throughput, and disk I / O; The unified monitoring module can continuously track the available capacity of various resources in the cloud resource pool, including storage space, computing power, and network bandwidth.

8. The telecommunications industry cloud resource pool resource management system and method as claimed in claim 1, characterized in that: The intelligent operation and maintenance module uses artificial intelligence and big data technologies to analyze the operation data of the cloud resource pool, discover potential failures and risk points, and provide early warning and disposal, including: The intelligent operation and maintenance module collects and analyzes operation data from the cloud resource pool to understand the operation status, performance and potential problems of the cloud resource pool. The operation data includes log data, performance data and alarm data. According to the analysis results, the intelligent operation and maintenance module can identify potential faults and risk points in the cloud resource pool, issue early warning signals, and automatically trigger corresponding disposal measures. The potential faults and risk points include hardware failures, software vulnerabilities, and performance bottlenecks. The disposal measures include resource expansion, fault isolation, and system recovery. The artificial intelligence technology includes machine learning and deep learning, which can realize intelligent analysis and prediction of data; the big data technology is used to process and analyze large-scale data.

9. The telecommunications industry cloud resource pool resource management system and method as claimed in claim 1, characterized in that: The security audit module is responsible for the formulation, implementation and monitoring of the security policies of the cloud resource pool and provides an audit function for the use of cloud resources, including: The security policy formulation includes access control policy, data encryption policy, and security isolation policy. The access control policy is used for user identity authentication and authority management. The data encryption policy is used to ensure the security of data during transmission and storage. The security isolation policy is used to achieve resource isolation between different tenants through virtual network technology. The security policy implementation is to apply the formulated security policy to the cloud resource pool so that the policy is executed in actual operation; The security policy monitoring refers to the continuous monitoring and evaluation of the security status of the cloud resource pool to detect and respond to potential security threats or violations; The audit function of the security audit module can record and analyze the use of cloud resources, including resource allocation, access, and usage time, to prevent resource waste and discover potential security vulnerabilities or violations.

10. A telecommunications industry cloud resource pool resource management system and method, characterized in that: The following steps are involved: S1. The multi-cloud management platform integrates public cloud, private cloud and heterogeneous resources into a unified management scope, synchronizes resource information, monitors resource status, and prepares for resource scheduling; S2, unified resource orchestration module describes the configuration and dependencies of cloud resources, and automatically orchestrates and deploys cloud resources according to business needs; S3, the capacity planning module and the unified monitoring module perform unified planning and real-time monitoring of the capacity of the cloud resource pool to achieve resource allocation; S4, the intelligent operation and maintenance module collects and analyzes the operation data of the cloud resource pool, identifies potential failures and risk points, issues early warning signals, and automatically triggers corresponding disposal measures; S5. The security audit module formulates and implements security policies, monitors the security status of the cloud resource pool, and records and analyzes the use of cloud resources through audit functions.

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