Computer electronic information storage method and system based on cloud server

Abstract

The invention provides a computer electronic information storage method and system based on a cloud server, and relates to the technical field of computer electronic information storage of cloud servers. The computer electronic information storage system based on the cloud server comprises a user unit and a storage unit, the user unit provides user registration and login functions, realizes access control based on roles and is used for distributing different access permissions according to positions of users and recording user operation logs for auditing and monitoring, and the storage unit is used for storing the user operation logs. And the storage unit is used for supporting uploading of various file types and formats and realizing file classification. Through strict verification and dynamic permission allocation of the user identity by the user and permission management unit, the overall security and data privacy protection capability of the system are improved, the performance bottleneck and service interruption are effectively avoided, and the expansibility and reliability of the system are greatly improved.

Description

Technical Field

[0001] This invention relates to the field of computer electronic information storage technology for cloud servers, specifically to a computer electronic information storage method and system based on cloud servers. Background Technology

[0002] Against the backdrop of rapid development in information technology, cloud servers, as an efficient and flexible storage solution, have gradually become the mainstream method for storing computer electronic information. Through distributed architecture and virtualization technology, cloud servers achieve high availability and scalability of data while reducing hardware maintenance costs. Their core functions include data backup, real-time synchronization, remote access, and security management, meeting the massive data storage needs of enterprises and individuals. Furthermore, cloud servers support elastic scaling, dynamically adjusting storage resources according to business needs to ensure efficient and cost-effective data storage. This technology provides powerful support for modern information management.

[0003] Existing cloud server-based computer electronic information storage methods and systems lack support for multi-cloud or distributed storage, resulting in insufficient scalability and stability. This deficiency mainly stems from the fact that traditional designers have failed to fully recognize the potential of multi-cloud architecture and distributed storage to improve system scalability and stability. Existing cloud server-based information storage systems often rely solely on a single cloud service or local storage resources, failing to fully utilize the resource redundancy characteristics in a multi-cloud environment, thus limiting the system's scalability. Furthermore, without support for distributed storage, the system may struggle to achieve effective resource allocation and dynamic adjustment when facing high load demands, leading to reduced stability and potentially causing performance bottlenecks. This technical deficiency not only significantly limits the scalability of existing systems but may also lead to service interruptions or efficiency degradation when processing large-scale data or high-concurrency access. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a computer electronic information storage method and system based on cloud servers, which solves the problems of insufficient scalability and stability caused by multi-cloud or distributed storage.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solution: a computer electronic information storage system based on a cloud server, comprising a user unit, wherein the user unit provides user registration and login functions, implements role-based access control to assign different access permissions according to the user's position, and records user operation logs for auditing and monitoring. The storage unit supports the uploading of various file types and formats, enables file classification, dynamically allocates cloud storage resources, supports storage pool creation, capacity expansion and contraction, tracks storage and bandwidth utilization in real time, automatically adjusts resource allocation to optimize response speed, and archives or migrates cold data according to strategies to reduce storage costs. The high availability unit is used to dynamically allocate traffic based on real-time load data to avoid single-node overload. It achieves data redundancy through mechanisms such as data replication and off-site disaster recovery to meet the requirements of recovery point targets and recovery time targets, and ensure the reliability and stability of data. The auditing unit is used to collect data such as user operations and system logs, analyze whether there is abnormal access, provide real-time alerts for potential threats such as brute-force attacks and data leaks, and use its audit data to feed back into the user permission unit to optimize permission allocation strategies.

[0006] Preferably, the user unit includes an identity entry module, an identity verification module, a permission allocation module, an operation recording module, and a permission judgment module that are electrically connected to each other. The identity entry module collects basic information such as username, password, and contact information to build a basic user database, providing a data source for the subsequent identity verification module and permission allocation module. The identity verification module supports a combination of verification methods such as password verification, SMS verification code, and biometric recognition to ensure the authenticity and reliability of the user's identity when accessing the system. The permission allocation module assigns different permission sets according to preset roles such as administrator, auditor, and ordinary user to achieve the principle of minimizing data access. The operation recording module records all user operations such as login, query, modification, and deletion, as well as related parameters, in real time, providing raw data for the permission judgment module. When a user initiates an operation, the permission judgment module dynamically checks whether the user's permissions meet the operation requirements, serving as the final execution point of access control and directly deciding whether to allow or deny the user's request.

[0007] Preferably, the storage unit includes an expansion request module, a standby selection module, a load allocation module, a load monitoring module, and a load self-verification module that are electrically connected to each other. The expansion request module monitors storage utilization in real time to ensure that storage resources respond promptly to business growth. The standby selection module maintains a list of available standby storage nodes to improve system disaster recovery capabilities. The load allocation module distributes read requests to multiple replica nodes and centralizes write requests to the primary node, working in conjunction with the load monitoring module. The load monitoring module monitors indicators such as CPU utilization, disk IOPS, and network bandwidth of storage nodes in real time. The load self-verification module periodically verifies data replica consistency and detects data corruption through methods such as hash verification to ensure that the storage system is always in a healthy state.

[0008] Preferably, the high availability unit includes an extension request module, a standby selection module, a load allocation module, a load monitoring module, and a load self-testing module that are electrically connected to each other. The extension request module accurately calculates the required resource specifications based on business needs and historical data. The standby selection module periodically performs health checks on standby nodes. The load allocation module automatically circuit breaks abnormal nodes and implements rate limiting protection for sudden traffic surges. The load monitoring module provides a real-time monitoring dashboard and sets multi-level alarm thresholds. The load self-testing module quickly locates the root cause of problems based on a fault feature library and correlation analysis.

[0009] Preferably, the audit unit includes an audit application module, an audit production module, a report delivery module, an audit update module, and an audit verification module that are electrically connected to each other. The audit application module verifies the applicant's permissions and automatically triggers a multi-level approval process based on the audit level. The audit production module performs format standardization, outlier processing, and sensitive information anonymization on heterogeneous data. The report delivery module converts audit results into charts, trend graphs, and risk matrices to improve readability. The audit update module regularly updates the audit rule set, incorporating new compliance requirements and security threat intelligence. The audit verification module performs sampling review of audit findings to verify accuracy and completeness.

[0010] A method for storing computer electronic information based on a cloud server includes the following steps: Step 1: After entering user information, receive user registration, login and resource access requests, verify identity, assign permissions according to role, record operation logs, and output authorized or unauthorized results; Step 2: Obtain storage resource requests, allocate available cloud storage resources, adjust capacity, monitor storage utilization and performance, and output resource status as normal or full. Step 3: Upon receiving the expansion request, select a backup storage node and allocate the load, monitor the system load and response time, and output the high availability status as normal or limited. Step 4: Receive audit report requests, generate and export / send reports, update audit logs, and output the report status as sent or in the process of being sent. Preferably, the specific steps for information entry in step one are as follows: S1. Input user registration information into the identity entry module, verify the completeness and compliance of the information, and store the user information in the database; S2. Receive login credentials through the authentication module, verify their validity, process multi-factor authentication, generate a session token and return it; S3. The permission allocation module identifies user roles, matches corresponding permission sets, dynamically generates a permission list, and associates it with the user session. S4. Intercept resource access requests through the permission judgment module, parse the required permission points and compare them with the user's current permission set, and return the authorization result; S5. The operation recording module captures user behavior, records operation metadata, and stores logs to a dedicated database or auditing system. If an abnormal operation is encountered, an alarm mechanism is triggered.

[0011] Preferably, the specific steps for storing information in step two are as follows: S1. The expansion application module first monitors the storage utilization rate. When the threshold is reached, it collects expansion requirements, generates a resource application work order, and submits it to the cloud platform resource pool. S2. Select the standby module to scan available storage nodes, evaluate the health status of the nodes, and mark the optimal standby node after matching the requirements and specifications. S3. The load balancing module performs data migration, configures load balancing rules, adjusts DNS records, and verifies data consistency. S4, the load monitoring module collects performance indicators in real time, analyzes response time, detects abnormal traffic, and generates reports; S5. The load self-test module periodically performs health checks, simulates fault scenarios to verify disaster recovery capabilities, compares the actual load with the threshold, and triggers an automatic repair process if an anomaly occurs.

[0012] Preferably, the specific steps of the storage allocation in step three are as follows: S1. The expansion application module monitors the storage resource usage in real time. When a user requests to expand storage resources or the resource usage rate reaches a threshold, a resource expansion application is generated immediately. S2. Select the backup module and start it up. Scan and filter out healthy backup storage nodes that meet the performance requirements. S3. The load distribution module will reasonably distribute the extended tasks and corresponding loads to the selected standby nodes, and simultaneously perform data migration and configuration updates. S4. The load monitoring module continuously collects performance indicators such as CPU, memory, and network of each node, analyzes response time and traffic patterns, and promptly detects load anomalies. S5 and the load self-test module regularly perform node health checks, simulate extreme scenarios such as node failures, and verify the system's disaster recovery capabilities. Once a load imbalance or performance failure is detected, an automatic load adjustment and repair process is immediately triggered to ensure high system availability.

[0013] Preferably, the specific steps of the storage allocation in step four are as follows: S1. The audit application module receives security audit report requests, verifies the compliance of the requests, and generates an audit task work order. S2. The audit production module retrieves access records, file operations, and other data based on the work order requirements, analyzes and processes the data, and generates a draft audit report. S3, the report export module converts the report into PDF or Excel format, sends it to the specified email address, and generates a download link; S4. Update the audit module to synchronize the report generation and sending time, and update the audit log; S5. The audit verification module finally verifies the report sending status and log update integrity. If there is a sending failure or missing record, the exception handling process is triggered to ensure the closed loop of the audit work and the reliability of the data.

[0014] This invention provides a computer electronic information storage method and system based on a cloud server. It has the following beneficial effects: 1. This invention establishes a complete security chain of "authorization-operation-audit" by strictly verifying user identities and dynamically allocating permissions through a user and permission management unit, combined with real-time recording of operation logs and generation of audit reports by a security audit management unit. On the one hand, it effectively prevents unauthorized access and avoids the risk of data leakage; on the other hand, the regularly generated audit reports provide a reliable basis for security traceability and compliance management, significantly improving the overall security and data privacy protection capabilities of the system.

[0015] 2. This invention utilizes a data storage and high availability management unit to automatically allocate cloud storage resources based on storage resource requests. By monitoring storage utilization, system load, and response time in real time, it adjusts storage capacity and allocates load to backup nodes. This not only achieves efficient utilization of storage resources but also ensures stable system operation under high concurrency or resource constraints, effectively avoiding performance bottlenecks and service interruptions, and significantly improving system scalability and reliability. Attached Figure Description

[0016] Figure 1 This is a diagram of a computer electronic information storage system based on a cloud server according to the present invention; Figure 2 This is a schematic diagram of a user unit in a cloud server-based computer electronic information storage system according to the present invention. Figure 3 This is a schematic diagram of a storage unit in a cloud server-based computer electronic information storage system according to the present invention. Figure 4 This is a schematic diagram of a high-availability unit of a cloud server-based computer electronic information storage system according to the present invention. Figure 5 This is a schematic diagram of an audit unit in a cloud server-based computer electronic information storage system according to the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Example: like Figure 1-5 As shown, this embodiment of the invention provides a computer electronic information storage system based on a cloud server, comprising: The user unit provides user registration and login functions, implementing role-based access control to assign different access permissions based on user roles and record user operation logs for auditing and monitoring. The user unit includes an identity entry module, an identity verification module, a permission allocation module, an operation recording module, and a permission judgment module, all electrically connected to each other. The identity entry module collects basic information such as username, password, and contact information to build a basic user database, providing a data source for the subsequent identity verification and permission allocation modules. The identity verification module supports a combination of verification methods such as password verification, SMS verification code, and biometric recognition to ensure the authenticity and reliability of user identities accessing the system. The permission allocation module assigns different permission sets according to preset roles such as administrators, auditors, and ordinary users, implementing the principle of minimizing data access. The operation recording module records all user operations in real time, such as login, query, modification, deletion, and related parameters, providing raw data for the permission judgment module. When a user initiates an operation, the permission judgment module dynamically checks whether their permissions meet the operation requirements, serving as the final execution point of access control and directly deciding whether to allow or deny the user's request.

[0019] The storage unit supports uploading various file types and formats, enabling file categorization, dynamically allocating cloud storage resources, supporting storage pool creation, capacity expansion and contraction, real-time tracking of storage and bandwidth utilization metrics, automatically adjusting resource allocation to optimize response speed, and archiving or migrating cold data according to policies to reduce storage costs. The storage unit includes an expansion request module, a standby selection module, a load allocation module, a load monitoring module, and a load self-verification module, all electrically connected to each other. The expansion request module monitors storage utilization in real-time to ensure timely response to business growth. The standby selection module maintains a list of available standby storage nodes to improve system disaster recovery capabilities. The load allocation module distributes read requests to multiple replica nodes and centralizes write requests to the primary node, working in conjunction with the load monitoring module. The load monitoring module monitors storage node CPU utilization, disk IOPS, network bandwidth, and other metrics in real-time. The load self-verification module periodically verifies data replica consistency and detects data corruption through methods such as hash verification to ensure the storage system remains in a healthy state.

[0020] The high-availability unit is used to dynamically allocate traffic based on real-time load data, avoiding single-node overload. It achieves data redundancy through mechanisms such as data replication and off-site disaster recovery, meeting recovery point and recovery time targets, and ensuring data reliability and stability. The high-availability unit includes an extension request module, a standby selection module, a load allocation module, a load monitoring module, and a load self-testing module that are electrically connected to each other. The extension request module accurately calculates the required resource specifications based on business needs and historical data. The standby selection module performs health checks on standby nodes periodically. The load allocation module automatically circuit breaks abnormal nodes and implements rate limiting protection for sudden traffic. The load monitoring module provides a real-time monitoring dashboard and sets multi-level alarm thresholds. The load self-testing module quickly locates the root cause of problems based on a fault feature library and correlation analysis.

[0021] The audit unit collects user operation data, system logs, and other data to analyze for abnormal access. It provides real-time alerts for potential threats such as brute-force attacks and data breaches. The audit data is used to feed back into the user permission unit, optimizing permission allocation strategies. The audit unit comprises an audit application module, an audit production module, a report export module, an audit update module, and an audit verification module, all electrically connected to each other. The audit application module verifies the applicant's permissions and automatically triggers multi-level approval processes based on the audit level. The audit production module standardizes the format of heterogeneous data, handles outliers, and anonymizes sensitive information. The report export module transforms audit results into charts, trend graphs, and risk matrices to improve readability. The audit update module regularly updates the audit rule set, incorporating new compliance requirements and security threat intelligence. The audit verification module samples and reviews audit findings to verify accuracy and completeness.

[0022] Based on the aforementioned cloud server-based computer electronic information storage system, as another aspect of this application, a cloud server-based computer electronic information storage method includes the following steps: Step 1: After entering user information, receive user registration, login, and resource access requests. Verify identity, assign permissions according to role, record operation logs, and output authorized or unauthorized results. The specific steps for information entry are as follows: S1. Input user registration information into the identity entry module, verify the completeness and compliance of the information, and store the user information in the database; S2. Receive login credentials through the authentication module, verify their validity, process multi-factor authentication, generate a session token and return it; S3. The permission allocation module identifies user roles, matches corresponding permission sets, dynamically generates a permission list, and associates it with the user session. S4. Intercept resource access requests through the permission judgment module, parse the required permission points and compare them with the user's current permission set, and return the authorization result; S5. The operation recording module captures user behavior, records operation metadata, and stores logs to a dedicated database or auditing system. If an abnormal operation is encountered, an alarm mechanism is triggered.

[0023] Step Two: Obtain storage resource requests, allocate available cloud storage resources, adjust capacity, monitor storage utilization and performance, and output resource status as normal or full. The specific steps for information storage are as follows: S1. The expansion application module first monitors the storage utilization rate. When the threshold is reached, it collects expansion requirements, generates a resource application work order, and submits it to the cloud platform resource pool. S2. Select the standby module to scan available storage nodes, evaluate the health status of the nodes, and mark the optimal standby node after matching the requirements and specifications. S3. The load balancing module performs data migration, configures load balancing rules, adjusts DNS records, and verifies data consistency. S4, the load monitoring module collects performance indicators in real time, analyzes response time, detects abnormal traffic, and generates reports; S5. The load self-test module periodically performs health checks, simulates fault scenarios to verify disaster recovery capabilities, compares the actual load with the threshold, and triggers an automatic repair process if an anomaly occurs.

[0024] Step 3: Upon receiving the expansion request, select a backup storage node and allocate the load. Monitor system load and response time, and output the high availability status as normal or limited. The specific steps for storage allocation are as follows: S1. The expansion application module monitors the storage resource usage in real time. When a user requests to expand storage resources or the resource usage rate reaches a threshold, a resource expansion application is generated immediately. S2. Select the backup module and start it up. Scan and filter out healthy backup storage nodes that meet the performance requirements. S3. The load distribution module will reasonably distribute the extended tasks and corresponding loads to the selected standby nodes, and simultaneously perform data migration and configuration updates. S4. The load monitoring module continuously collects performance indicators such as CPU, memory, and network of each node, analyzes response time and traffic patterns, and promptly detects load anomalies. S5 and the load self-test module regularly perform node health checks, simulate extreme scenarios such as node failures, and verify the system's disaster recovery capabilities. Once a load imbalance or performance failure is detected, an automatic load adjustment and repair process is immediately triggered to ensure high system availability.

[0025] Step 4: Receive audit report requests, generate and export / send reports, update audit logs, and output the report status as sent or in the process of being sent. The specific steps for storage allocation are as follows: S1. The audit application module receives security audit report requests, verifies the compliance of the requests, and generates an audit task work order. S2. The audit production module retrieves access records, file operations, and other data based on the work order requirements, analyzes and processes the data, and generates a draft audit report. S3, the report export module converts the report into PDF or Excel format, sends it to the specified email address, and generates a download link; S4. Update the audit module to synchronize the report generation and sending time, and update the audit log; S5. The audit verification module finally verifies the report sending status and log update integrity. If there is a sending failure or missing record, the exception handling process is triggered to ensure the closed loop of the audit work and the reliability of the data.

[0026] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A computer electronic information storage system based on a cloud server, characterized in that, include: The user unit provides user registration and login functions, implements role-based access control to assign different access permissions according to the user's position, and records user operation logs for auditing and monitoring. The storage unit supports the uploading of various file types and formats, enables file classification, dynamically allocates cloud storage resources, supports storage pool creation, capacity expansion and contraction, tracks storage and bandwidth utilization in real time, automatically adjusts resource allocation to optimize response speed, and archives or migrates cold data according to strategies to reduce storage costs. The high availability unit is used to dynamically allocate traffic based on real-time load data to avoid single-node overload. It achieves data redundancy through mechanisms such as data replication and off-site disaster recovery to meet the requirements of recovery point targets and recovery time targets, and ensure the reliability and stability of data. The auditing unit is used to collect data such as user operations and system logs, analyze whether there is abnormal access, provide real-time alerts for potential threats such as brute-force attacks and data leaks, and use its audit data to feed back into the user permission unit to optimize permission allocation strategies.

2. The computer electronic information storage system based on a cloud server according to claim 1, characterized in that: The user unit includes an identity entry module, an identity verification module, a permission allocation module, an operation recording module, and a permission judgment module, all electrically connected to each other. The identity entry module collects basic information such as username, password, and contact information to build a basic user database, providing a data source for the subsequent identity verification and permission allocation modules. The identity verification module supports a combination of verification methods such as password verification, SMS verification code, and biometric recognition to ensure the authenticity and reliability of the user's identity when accessing the system. The permission allocation module assigns different permission sets according to preset roles such as administrator, auditor, and ordinary user, implementing the principle of minimizing data access. The operation recording module records all user operations in real time, such as login, query, modification, deletion, and related parameters, providing raw data for the permission judgment module. When a user initiates an operation, the permission judgment module dynamically checks whether their permissions meet the operation requirements, serving as the final execution point of access control and directly deciding whether to allow or deny the user's request.

3. The computer electronic information storage system based on a cloud server according to claim 1, characterized in that: The storage unit includes an expansion request module, a standby selection module, a load allocation module, a load monitoring module, and a load self-verification module that are electrically connected to each other. The expansion request module monitors storage utilization in real time to ensure that storage resources respond promptly to business growth. The standby selection module maintains a list of available standby storage nodes to improve system disaster recovery capabilities. The load allocation module distributes read requests to multiple replica nodes and centralizes write requests to the primary node, working in conjunction with the load monitoring module. The load monitoring module monitors indicators such as CPU utilization, disk IOPS, and network bandwidth of storage nodes in real time. The load self-verification module periodically verifies data replica consistency and detects data corruption through methods such as hash verification to ensure that the storage system is always in a healthy state.

4. The computer electronic information storage system based on a cloud server according to claim 1, characterized in that: The high-availability unit includes an extension request module, a standby selection module, a load distribution module, a load monitoring module, and a load self-testing module that are electrically connected to each other. The extension request module accurately calculates the required resource specifications based on business needs and historical data. The standby selection module periodically performs health checks on standby nodes. The load distribution module automatically circuit breaks abnormal nodes and implements rate limiting protection for sudden traffic surges. The load monitoring module provides a real-time monitoring dashboard and sets multi-level alarm thresholds. The load self-testing module quickly locates the root cause of problems based on a fault feature library and correlation analysis.

5. A computer electronic information storage system based on a cloud server according to claim 1, characterized in that: The audit unit comprises an audit application module, an audit production module, a report export module, an audit update module, and an audit verification module, all electrically connected to each other. The audit application module verifies the applicant's permissions and automatically triggers a multi-level approval process based on the audit level. The audit production module performs format standardization, outlier handling, and sensitive information anonymization on heterogeneous data. The report export module transforms audit results into charts, trend graphs, and risk matrices to improve readability. The audit update module periodically updates the audit rule set, incorporating new compliance requirements and security threat intelligence. The audit verification module performs sampling reviews of audit findings to verify accuracy and completeness.

6. The computer electronic information storage method based on a cloud server according to claim 1, using the computer electronic information storage system based on a cloud server according to any one of claims 1 to 5, Includes the following steps, characterized in that: Step 1: After entering user information, receive user registration, login and resource access requests, verify identity, assign permissions according to role, record operation logs, and output authorized or unauthorized results; Step 2: Obtain storage resource requests, allocate available cloud storage resources, adjust capacity, monitor storage utilization and performance, and output resource status as normal or full. Step 3: Upon receiving the expansion request, select a backup storage node and allocate the load, monitor the system load and response time, and output the high availability status as normal or limited. Step 4: Receive audit report requests, generate reports and export / send them, update audit logs, and output the report status as sent or in the process of being sent.

7. A computer electronic information storage method based on a cloud server according to claim 1, characterized in that, The specific steps for information entry in step one are as follows: S1. Input user registration information into the identity entry module, verify the completeness and compliance of the information, and store the user information in the database; S2. Receive login credentials through the authentication module, verify their validity, process multi-factor authentication, generate a session token and return it; S3. The permission allocation module identifies user roles, matches corresponding permission sets, dynamically generates a permission list, and associates it with the user session. S4. Intercept resource access requests through the permission judgment module, parse the required permission points and compare them with the user's current permission set, and return the authorization result; S5. The operation recording module captures user behavior, records operation metadata, and stores logs to a dedicated database or auditing system. If an abnormal operation is encountered, an alarm mechanism is triggered.

8. A computer electronic information storage method based on a cloud server according to claim 1, characterized in that, The specific steps for storing information in step two are as follows: S1. The expansion application module first monitors the storage utilization rate. When the threshold is reached, it collects expansion requirements, generates a resource application work order, and submits it to the cloud platform resource pool. S2. Select the standby module to scan available storage nodes, evaluate the health status of the nodes, and mark the optimal standby node after matching the requirements and specifications. S3. The load balancing module performs data migration, configures load balancing rules, adjusts DNS records, and verifies data consistency. S4, the load monitoring module collects performance indicators in real time, analyzes response time, detects abnormal traffic, and generates reports; S5. The load self-test module periodically performs health checks, simulates fault scenarios to verify disaster recovery capabilities, compares the actual load with the threshold, and triggers an automatic repair process if an anomaly occurs.

9. A computer electronic information storage method based on a cloud server according to claim 1, characterized in that, The specific steps for storage allocation in step three are as follows: S1. The expansion application module monitors the storage resource usage in real time. When a user requests to expand storage resources or the resource usage rate reaches a threshold, a resource expansion application is generated immediately. S2. Select the backup module and start it up. Scan and filter out healthy backup storage nodes that meet the performance requirements. S3. The load distribution module will reasonably distribute the extended tasks and corresponding loads to the selected standby nodes, and simultaneously perform data migration and configuration updates. S4. The load monitoring module continuously collects performance indicators such as CPU, memory, and network of each node, analyzes response time and traffic patterns, and promptly detects load anomalies. S5 and the load self-test module regularly perform node health checks, simulate extreme scenarios such as node failures, and verify the system's disaster recovery capabilities. Once a load imbalance or performance failure is detected, an automatic load adjustment and repair process is immediately triggered to ensure high system availability.

10. A computer electronic information storage method and system based on a cloud server according to claim 1, characterized in that, The specific steps for storage allocation in step four are as follows: S1. The audit application module receives security audit report requests, verifies the compliance of the requests, and generates an audit task work order. S2. The audit production module retrieves access records, file operations, and other data based on the work order requirements, analyzes and processes the data, and generates a draft audit report. S3, the report export module converts the report into PDF or Excel format, sends it to the specified email address, and generates a download link; S4. Update the audit module to synchronize the report generation and sending time, and update the audit log; S5. The audit verification module finally verifies the report sending status and log update integrity. If there is a sending failure or missing record, the exception handling process is triggered to ensure the closed loop of the audit work and the reliability of the data.

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