Business resource automatic migration method, system, equipment and medium

Abstract

The invention discloses a service resource automatic migration method, system and device and a medium, and relates to the technical field of service resource migration, and the method comprises the steps: carrying out the evaluation of service resources of different platforms in a company through a resource evaluation model, determining the use conditions corresponding to different types of service resources, determining whether migration is carried out or not based on the use condition corresponding to any type of service resources in any platform; and when a determination result is yes, determining an optimal migration platform based on the use condition of the same type of service resources of other platforms except the platform, and completing migration processing based on the optimal migration platform. According to the method, all types of service resources in all platforms are evaluated, so that the service resource use condition in a company can be accurately and comprehensively controlled, and the service resources can be distributed more reasonably by carrying out subsequent service resource migration processing on the basis of the service resource use condition.

Description

Background Art

[0002] The migration of existing business resources is mainly achieved through the following three methods:

[0003] 1. Perform resource migration through manual operations, usually through scripts or manual configuration to perform resource movement, configuration modification, and data migration.

[0004] 2. Use the functions of the virtualization platform, such as VMware vMotion, KVM and other technologies, to migrate virtual machines from one host to another host or data center.

[0005] 3. Perform data migration through backup and recovery, back up the data of the original system to the target system, and then restore it to the new environment.

[0006] Disadvantages of existing technical solutions:

[0007] 1. It is error-prone, the process is cumbersome, and lacks automation and intelligence, which may lead to problems such as inconsistent configuration and performance degradation.

[0008] 2. Usually applicable to resource migration under the same virtualization platform. Compatibility and configuration issues may occur when migrating across platforms or environments.

[0009] 3. There may be downtime during the migration process, and when the amount of data is large, the migration time is long and the efficiency is low. Summary of the invention

[0010] The technical problem to be solved by the present invention is to address the deficiencies of the prior art and specifically provide a method, system, device and medium for automatic migration of business resources, which are as follows:

[0011] 1) In the first aspect, the present invention provides a method for automatic migration of business resources, and the specific technical solution is as follows:

[0012] Through the resource evaluation model, the business resources of different platforms within the company are evaluated to determine the usage of different types of business resources. Based on the usage of any type of business resource on any platform, it is determined whether to migrate.

[0013] When the determination result is yes, an optimal migration platform is determined based on usage of the same type of business resources of other platforms except the platform, and the migration process is completed based on the optimal migration platform.

[0014] The beneficial effects of the automatic migration method of business resources provided by the present invention are as follows:

[0015] By evaluating all types of business resources on all platforms, we can accurately and comprehensively control the use of business resources within the company, and use this as a basis for subsequent business resource migration to allocate business resources more reasonably.

[0016] Based on the above solution, the present invention can also be improved as follows.

[0017] Furthermore, it also includes: using a machine learning model to predict the historical load data of any type of business resources in any platform, to obtain the business resource demand within a preset time, and to determine the migration path of the business resources based on the business resource demand.

[0018] Furthermore, it also includes: using an intelligent monitoring model to monitor in real time whether there are any abnormal situations in the migration process, and issuing early warning information when there are abnormal situations.

[0019] Furthermore, it also includes: monitoring the operating status of the migration target platform and the source platform during the migration process through a fault detection model, and issuing an alarm message when a fault occurs on the migration target platform or the source platform.

[0020] Furthermore, it also includes: through a rollback mechanism model, when an undo migration instruction is received, the data that has completed the migration or is being migrated is rolled back to the source platform, and the undo migration instruction is generated based on the early warning information or the alarm information.

[0021] Furthermore, it also includes:

[0022] Through the intelligent scheduling model, the migration path is readjusted based on the alarm information, the early warning information and the business resource demand to obtain a new migration path.

[0023] 2) In a second aspect, the present invention further provides a business resource automatic migration system, and the specific technical solution is as follows:

[0024] The resource evaluation model is used to evaluate the business resources of different platforms within the company, determine the usage of different types of business resources, and determine whether to migrate based on the usage of any type of business resources on any platform;

[0025] The migration module is used to: when the determination result is yes, determine the optimal migration platform based on the usage of the same type of business resources of other platforms except the platform, and complete the migration process based on the optimal migration platform.

[0026] Based on the above solution, the present invention can also be improved as follows.

[0027] 3) In a third aspect, the present invention further provides an electronic device, comprising a processor, wherein the processor is coupled to a memory, wherein at least one computer program is stored in the memory, and the at least one computer program is loaded and executed by the processor so that the electronic device implements any of the above methods.

[0028] 4) In a fourth aspect, the present invention further provides a computer-readable storage medium, wherein at least one computer program is stored in the computer-readable storage medium, and the at least one computer program is loaded and executed by a processor so that a computer implements any of the above methods.

[0029] It should be noted that the beneficial effects achieved by the technical solutions of the second to fourth aspects of the present invention and the corresponding possible implementation methods can be found in the above-mentioned technical effects of the first aspect and its corresponding possible implementation methods, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0031] Figure 1 A schematic diagram of a process flow of a method for automatic migration of business resources according to an embodiment of the present invention;

[0032] Figure 2 The present invention is a structural framework diagram of an electronic device. DETAILED DESCRIPTION

[0033] 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.

[0034] like Figure 1 As shown, a method for automatically migrating business resources according to an embodiment of the present invention includes the following steps:

[0035] S1, through the resource evaluation model, evaluate the business resources of different platforms within the company, determine the usage of different types of business resources, and determine whether to migrate based on the usage of any type of business resources on any platform;

[0036] S2: When the determination result is yes, determine the optimal migration platform based on the usage of the same type of business resources of other platforms except the platform, and complete the migration process based on the optimal migration platform.

[0037] The beneficial effects of the automatic migration method of business resources provided by the present invention are as follows:

[0038] By evaluating all types of business resources on all platforms, we can accurately and comprehensively control the use of business resources within the company, and use this as a basis for subsequent business resource migration to allocate business resources more reasonably.

[0039] The company can be a mobile company or a telecommunications company.

[0040] Business resources refer to various resources used to support business activities, improve business efficiency and competitiveness during the operation of an enterprise. These resources include but are not limited to customer resources, channel resources, supply chain resources, brand resources, partner resources, technical resources and knowledge resources.

[0041] 1. Classification and role of business resources

[0042] Customer resources: including information about existing customers and potential customers, are the basis for an enterprise to conduct business.

[0043] Channel resources: refers to the channels through which a company interacts with and sells to customers, such as online platforms, offline stores, etc.

[0044] Supply chain resources: involving raw material procurement, production and manufacturing, logistics and distribution, etc., to ensure the smooth delivery of products or services.

[0045] Brand resources: including brand awareness, brand image and brand loyalty, which affect consumers' perception and trust in the company.

[0046] Partner resources: partnerships with other companies or organizations to jointly carry out projects or provide services.

[0047] Technical resources: including technical patents, software systems, etc. owned by the enterprise, to support the enterprise's technological innovation and development.

[0048] Knowledge resources: refers to the professional knowledge and skills of an enterprise's employees, which is a key factor in improving the competitiveness of an enterprise.

[0049] 2. Business resource acquisition and management strategies

[0050] Market research: Understand market demand and competition, and determine target customer groups.

[0051] Partner selection: Choose strong partners and establish long-term cooperative relationships.

[0052] Technology investment: Increase technology research and development and innovation to enhance the company's technological competitiveness.

[0053] Talent cultivation: attach importance to employee training and development to enhance the professional capabilities of the team.

[0054] Supply Chain Optimization: Optimize supply chain management to ensure efficient production and delivery.

[0055] The usage of business resources refers to the utilization rate, usage frequency, data traffic, etc. of different types of business resources.

[0056] Different platforms refer to operation platforms, maintenance platforms, etc. during the company's enterprise operations.

[0057] The process of determining whether to migrate based on usage is as follows:

[0058] Based on the utilization rate and usage rate, determine whether it exceeds the preset utilization rate and the preset usage rate. If it exceeds, it means that some business resources need to be migrated to a platform that does not exceed the preset utilization rate and the preset usage rate.

[0059] It should be noted that some business resources of the same type exist between different platforms, such as customer resources. Some platforms have a large data processing volume, that is, more business resources, so some customer resources need to be migrated to other platforms for business processing.

[0060] The process for determining the best migration platform based on usage is:

[0061] Determine the data traffic and utilization rate of other platforms. If the data traffic is lower than the preset data traffic and the utilization rate is lower than the preset utilization rate, such a platform will be determined as the first platform. The usage frequencies of all the first platforms will be calculated, and the first platform with the lowest usage frequency will be selected as the optimal migration platform. The purpose of this processing is that the business resources in the platform are used less frequently, which means that the platform is more responsible for storing data. Since the platform is equipped with the same data processing capabilities as other platforms, but only performs data storage and does not have a certain data usage frequency, the platform is a waste of resources at this time. Therefore, in order to maximize the effectiveness of the platform, it is necessary to migrate some business resources to the platform so that it can process data normally.

[0062] Furthermore, it also includes: using a machine learning model to predict the historical load data of any type of business resources in any platform, to obtain the business resource demand within a preset time, and to determine the migration path of the business resources based on the business resource demand.

[0063] Furthermore, it also includes: using an intelligent monitoring model to monitor in real time whether there are any abnormal situations in the migration process, and issuing early warning information when there are abnormal situations.

[0064] Furthermore, it also includes: monitoring the operating status of the migration target platform and the source platform during the migration process through a fault detection model, and issuing an alarm message when a fault occurs on the migration target platform or the source platform.

[0065] Furthermore, it also includes: through a rollback mechanism model, when an undo migration instruction is received, the data that has completed the migration or is being migrated is rolled back to the source platform, and the undo migration instruction is generated based on the early warning information or the alarm information.

[0066] Furthermore, it also includes:

[0067] Through the intelligent scheduling model, the migration path is readjusted based on the alarm information, the early warning information and the business resource demand to obtain a new migration path.

[0068] Example 1, 1. Resource Assessment Model

[0069] The task of the resource assessment model is to comprehensively evaluate the current resources of the system, calculate the usage of different resources, and determine the necessity of resource migration. During the resource migration process, this model determines the best migration target by comparing the resource usage in different platforms or environments.

[0070] Business resource assessment: Evaluate the usage of computing, storage, network and other resources in the current environment. The model can determine which resources are overloaded, bottlenecked, and redundant through performance indicators, usage rates, load and other data, and help the intelligent scheduling model determine the priority of resource migration.

[0071] Migration target identification: By evaluating the resources of different platforms, the optimal migration target is provided. For example, if the current computing resource utilization is too high and the target platform provides more computing power, the resource evaluation model recommends migrating some computing tasks to the target platform.

[0072] Resource optimization recommendations: Not only does it help determine resource migration targets, but it also provides resource optimization recommendations so that the environment can run efficiently after migration.

[0073] 2. Machine Learning Model

[0074] The machine learning model uses deep learning and data mining methods to analyze system operation data, predict future resource demand, load fluctuations, and potential bottlenecks, and provide intelligent decision-making basis for resource migration. The model learns historical resource usage data and identifies resource demand patterns in different business scenarios, thereby optimizing migration strategies.

[0075] Load prediction and optimization: By analyzing historical load data, we can predict future business resource requirements and possible peak periods, and plan resource migration in advance. For example, when the load is predicted to peak, machine learning algorithms can migrate some resources to a lighter load environment in advance to avoid business interruption.

[0076] Migration path optimization: The model dynamically calculates the best migration path based on forecast data, historical resource usage, and business priorities. For example, in a hybrid cloud and on-premises environment, machine learning algorithms can recommend migrating computing tasks to an efficient, low-cost cloud computing platform to reduce resource waste and lower costs.

[0077] Adaptive adjustment: Machine learning models can automatically adjust migration strategies based on real-time monitoring data. For example, if a platform is overloaded or short on resources, the migration target or timing can be automatically adjusted.

[0078] 3. Intelligent monitoring model

[0079] Key features:

[0080] The intelligent monitoring model is responsible for real-time monitoring of the system's resource indicators and business status, ensuring real-time feedback during resource migration so that migration decisions can be dynamically adjusted based on the current environmental status.

[0081] Real-time monitoring and anomaly detection: This model tracks the usage of system resources in real time, especially during the migration process, to ensure that the migration operation does not cause resource overload or business interruption. If anomalies are found during the migration process, it will immediately issue a warning.

[0082] Feedback on migration results: The monitoring model continuously provides feedback on resource usage after migration to determine whether the migration has achieved the expected results. For example, whether the computing resources meet the demand, whether the storage is sufficient, and whether the network bandwidth is sufficient after migration. This data will be fed back to the optimization and intelligent scheduling model to adjust future migration strategies.

[0083] Dynamically adjust the migration plan: If unforeseen load fluctuations occur during the migration process, the monitoring model will promptly transmit information to the migration strategy model so that the migration plan can be dynamically adjusted according to the current situation.

[0084] 4. Fault Detection Model

[0085] The fault detection model is used to quickly identify and locate possible system failures or anomalies during the resource migration process, to ensure that the resource migration process does not cause business interruptions and to ensure the smooth progress of the migration operation.

[0086] Fault detection during migration: During the resource migration process, the fault detection model continuously monitors the status of the target and source platforms to detect any potential faults or performance issues. For example, if the target platform has insufficient computing resources or high network latency, the model will immediately detect and report it.

[0087] Automatically locate the source of the problem: Once a failure occurs, the model will quickly locate the source of the problem by analyzing logs, performance data, and resource usage. Accurate fault location can reduce resource waste caused by unknown failures during the migration process.

[0088] Recovery and rollback: If irrecoverable problems occur during resource migration, the fault detection model and the rollback mechanism model work together to ensure that the system can be quickly restored to the state before the migration, avoiding business interruption or data loss.

[0089] 5. Rollback mechanism model

[0090] The rollback mechanism and recovery model provide a fault recovery solution during the migration process. If an unsolvable problem occurs during the migration process or the target platform cannot meet business needs, the system can quickly roll back to the state before the migration to ensure business continuity.

[0091] Rollback operation: When a problem is found during the migration process, the model will undo the resource migration operation according to the preset rollback strategy and restore it to the working state before the migration to ensure uninterrupted business.

[0092] Data consistency guarantee: During the rollback process, the model ensures data consistency and integrity to prevent data loss or corruption caused by the rollback operation.

[0093] Migration optimization: After the rollback, the rollback mechanism model will work with the intelligent optimization model to analyze the causes of migration failure, optimize future migration strategies, and avoid similar problems from happening again.

[0094] 6. Intelligent Scheduling Model

[0095] The intelligent scheduling model is responsible for dynamically scheduling migration tasks and adjusting resource allocation during resource migration to ensure optimal resource utilization. It will automatically select the appropriate timing, target platform, and resource configuration based on real-time load and forecast results to maximize the migration effect.

[0096] Automated migration scheduling: This model automatically schedules resource migration operations based on data such as resource evaluation, monitoring feedback, and prediction results. For example, migration can be performed during periods of light computing load to avoid the impact of the migration period on the business.

[0097] Automatic resource configuration: The intelligent scheduling model is not only responsible for the scheduling of migration operations, but also can automatically adjust the resource configuration of the target platform so that the target platform can immediately meet business needs after migration.

[0098] Migration optimization: Based on the system operation status, the intelligent scheduling model can automatically adjust the migration strategy based on real-time feedback. For example, if it is found that the resources are not sufficient after migration to the target platform, the intelligent scheduling model will immediately adjust the migration strategy and migrate other resources to places with lighter loads.

[0099] The advantages of this patented technology are as follows:

[0100] Improve resource migration performance: By adopting advanced intelligent migration algorithms, this technology can significantly improve the speed and efficiency of resource migration. Utilizing automated tools and optimization strategies, human intervention and errors can be reduced, ensuring that resources can be migrated in the shortest possible time, reducing system downtime and business interruption risks.

[0101] Improve intelligent decision-making capabilities: By combining artificial intelligence and machine learning models, the migration process can be adaptively optimized based on real-time and historical data. The system can continuously learn and adjust strategies during the migration process to maximize resource utilization, optimize scheduling and allocation, and achieve higher efficiency and effectiveness.

[0102] Enhanced business continuity and fault tolerance: By establishing a sound fault tolerance mechanism and redundant backup system, we ensure that business is not interrupted during the migration process. Even if there is a failure or external interference, the system can be quickly restored through a rollback mechanism or automatic repair strategy to ensure the continuous operation of the company's key business.

[0103] Improve cross-platform scenarios: Support multiple resource migration scenarios (such as cross-cloud migration, cross-data center migration, etc.). This technology can adapt to different business needs and technical architectures, and provide customized solutions for enterprises of different sizes and industries.

[0104] Improve data security: During the migration process, the technology embeds multiple layers of data security measures, such as encryption, authentication, access control, and data consistency assurance, to ensure that the company's sensitive data is not lost or leaked during the migration process.

[0105] Improve automation capabilities: This technology uses a highly automated resource migration process and implements full-process monitoring and management through intelligent platforms and tools, which greatly reduces the need for manual intervention, reduces human errors, and improves system reliability and stability.

[0106] In the above embodiments, although the steps are numbered S1, S2, etc., these are only specific embodiments given by the present invention. Those skilled in the art may adjust the execution order of S1, S2, etc. according to actual conditions, which is also within the protection scope of the present invention. It can be understood that in some embodiments, some or all of the above embodiments may be included.

[0107] The present invention also provides a business resource automatic migration system, and the specific technical solution is as follows:

[0108] The resource evaluation model is used to evaluate the business resources of different platforms within the company, determine the usage of different types of business resources, and determine whether to migrate based on the usage of any type of business resources on any platform;

[0109] The migration module is used to: when the determination result is yes, determine the optimal migration platform based on the usage of the same type of business resources of other platforms except the platform, and complete the migration process based on the optimal migration platform.

[0110] It should be noted that the beneficial effects of the automatic business resource migration system provided in the above embodiment are the same as the beneficial effects of the automatic business resource migration method provided in the above embodiment, which will not be described in detail here. In addition, when the system provided in the above embodiment realizes its functions, it only uses the division of the above functional modules as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the system can be divided into different functional modules according to actual conditions to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be described in detail here.

[0111] like Figure 2 As shown, an electronic device 300 according to an embodiment of the present invention includes a processor 320, the processor 320 is coupled to a memory 310, and the memory 310 stores at least one computer program 330, and the at least one computer program 330 is loaded and executed by the processor 320, so that the electronic device 300 implements any of the above methods, specifically:

[0112] The electronic device 300 may have relatively large differences due to different configurations or performances, and may include one or more processors 320 (Central Processing Units, CPU) and one or more memories 310, wherein the one or more memories 310 store at least one computer program 330, and the at least one computer program 330 is loaded and executed by the one or more processors 320, so that the electronic device 300 implements a method for automatic migration of business resources provided in the above embodiment. Of course, the electronic device 300 may also have components such as a wired or wireless network interface, a keyboard, and an input and output interface for input and output, and the electronic device 300 may also include other components for realizing device functions, which will not be repeated here.

[0113] A computer-readable storage medium according to an embodiment of the present invention stores at least one computer program, and the at least one computer program is loaded and executed by a processor so that a computer implements any one of the above methods.

[0114] Optionally, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0115] In an exemplary embodiment, a computer program product or a computer program is also provided, the computer program product or the computer program comprising computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the electronic device performs any of the above methods.

[0116] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects and represent the definition of a specific order or sequence. The order of use of similar objects can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than the order shown or described.

[0117] Those skilled in the art know that the present invention can be implemented as a system, method or computer program product. Therefore, the present disclosure can be specifically implemented in the following forms, namely: it can be complete hardware, it can be complete software (including firmware, resident software, microcode, etc.), or it can be a combination of hardware and software, which is generally referred to as "circuit", "module" or "system" herein. In addition, in some embodiments, the present invention can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable medium contains computer-readable program code.

[0118] Any combination of one or more computer-readable media may be used. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device, or device.

[0119] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for automatic migration of business resources, characterized in that: include: Through the resource evaluation model, the business resources of different platforms within the company are evaluated to determine the usage of different types of business resources. Based on the usage of any type of business resource on any platform, it is determined whether to migrate. When the determination result is yes, an optimal migration platform is determined based on usage of the same type of business resources of other platforms except the platform, and the migration process is completed based on the optimal migration platform.

2. A method for automatic migration of business resources according to claim 1, characterized in that: Also includes: Through machine learning models, the historical load data of any type of business resources in any platform is predicted to obtain the business resource demand within a preset time, and the migration path of the business resources is determined based on the business resource demand.

3. A method for automatic migration of business resources according to claim 2, characterized in that: Also includes: Through the intelligent monitoring model, whether there are any abnormal situations in the migration process is monitored in real time, and early warning information is issued when abnormal situations occur.

4. A method for automatic migration of business resources according to claim 3, characterized in that: Also includes: Through the fault detection model, the operation status of the migration target platform and the source platform during the migration process is monitored, and an alarm message is issued when a fault occurs on the migration target platform or the source platform.

5. A method for automatic migration of business resources according to claim 4, characterized in that: Also includes: Through the rollback mechanism model, when a migration cancellation instruction is received, the data that has been migrated or is being migrated is rolled back to the source platform. The migration cancellation instruction is generated based on the warning information or the alarm information.

6. A method for automatic migration of business resources according to claim 5, characterized in that: Also includes: Through the intelligent scheduling model, the migration path is readjusted based on the alarm information, the early warning information and the business resource demand to obtain a new migration path.

7. A business resource automatic migration system, characterized in that: include: The resource evaluation model is used to evaluate the business resources of different platforms within the company, determine the usage of different types of business resources, and determine whether to migrate based on the usage of any type of business resources on any platform; The migration module is used to: when the determination result is yes, determine the optimal migration platform based on the usage of the same type of business resources of other platforms except the platform, and complete the migration process based on the optimal migration platform.

8. A business resource automatic migration system according to claim 7, characterized in that: Also includes: The machine learning model is used to: predict the historical load data of any type of business resources in any platform, obtain the business resource demand within a preset time, and determine the migration path of the business resources based on the business resource demand.

9. An electronic device, characterized in that: The electronic device comprises a processor, the processor is coupled to a memory, at least one computer program is stored in the memory, and the at least one computer program is loaded and executed by the processor so that the electronic device implements the method according to any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores at least one computer program, and the at least one computer program is loaded and executed by a processor so that a computer implements the method according to any one of claims 1 to 6.

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