Optical disk box storage management system based on hierarchical management

Abstract

The invention relates to the technical field of optical disk storage, in particular to an optical disk box storage management system based on hierarchical management, which comprises a data analysis module, a weight calculation module, a strategy making module, a medium selection module, a dynamic adjustment module and a performance evaluation module. According to the method, the optical disk data is deeply analyzed, and the access frequency, the file number and the modification frequency of the data are recorded, so that the storage requirement and the change of a data access mode can be more effectively identified, the accurate recording and weight distribution of data attributes and the sensitivity analysis of optical disk files are realized, and a more detailed storage management strategy is constructed; storage positions and priorities can be adjusted according to actual use conditions of data, real-time data requirements are responded, a mechanism is adjusted in real time to improve response speed and operation efficiency of a system, continuous adaptability and efficiency of a storage strategy are ensured through regular performance evaluation, and reliability and safety of long-term data storage are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of optical disc storage, and in particular to an optical disc cartridge storage management system based on hierarchical management. Background Art

[0002] The field of optical disk storage technology involves the use of optical disks (such as CD, DVD and Blu-ray) as media for data storage and retrieval. The core is the reading and writing method of optical disks, that is, reading and recording data through laser beams. The optical disk storage system includes optical disk drives, optical disks and related software for data management and access. Due to its low cost, high data security and stable storage life, it is widely used in personal data storage, commercial data backup, multimedia content distribution and other fields.

[0003] Among them, the optical disc magazine storage management system based on hierarchical management aims to optimize the efficiency of optical disc storage and retrieval through hierarchical management strategies, including an automated optical disc exchange mechanism and software control system, which can automatically manage the physical location and access priority of optical discs according to the access frequency and importance of data. The main purpose is to improve the data retrieval speed and storage efficiency in large-scale data storage environments, especially for data sets that need to be preserved for a long time and have uneven access frequencies, such as archives, libraries, and corporate backup data centers.

[0004] Although existing optical disk storage technology is widely used in a variety of data storage environments, it has obvious shortcomings when dealing with large-scale data sets with uneven access frequencies. The optical disk storage system fixes the physical location and access priority of the optical disk, and lacks the ability to dynamically manage the actual access frequency and modification frequency of the data. As a result, the data retrieval speed is limited by the physical location, which is not convenient for the rapid retrieval of high-frequency access data, especially in archives or corporate backup data centers. The inefficiency of data access leads to operational delays, affecting the real-time use of data and decision-making. For example, in an emergency recovery situation, the inability to quickly access backup data prolongs the recovery process and affects business continuity. Fixed storage strategies lead to a waste of resources because low-frequency access data occupies easily accessible storage locations, reducing cost-effectiveness. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose an optical disk cartridge storage management system based on hierarchical management.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: an optical disk cartridge storage management system based on hierarchical management comprises: The data analysis module identifies the stored optical disc data from the optical disc cartridge, records the access frequency, file number and modification frequency of each data item, calculates the distribution and variability of multiple optical disc data items, and generates data attribute records; The weight calculation module distributes weights to factors that affect the storage of optical disc cartridges through the data attribute records, and obtains weight distribution results in combination with the sensitivity of the files stored in the optical disc cartridges; The strategy formulation module evaluates the priority of the optical disc cartridge storage data according to the weight distribution result, adjusts the optical disc cartridge storage strategy through hierarchical management according to the priority order, and outputs a storage optimization plan; The medium selection module uses the storage optimization solution to analyze the resource usage of the optical disk cartridge storage, selects storage media according to the differentiated data types, and generates a medium matching result through hierarchical management; The dynamic adjustment module monitors the load and data access mode of the optical disk cartridge storage according to the media matching result, responds to real-time data access requirements, verifies storage efficiency, and creates adjustment feedback records; The performance evaluation module regularly checks the operation status of the optical disc cartridge storage based on the adjustment feedback record, analyzes the execution effect of the storage strategy, evaluates the adaptability and efficiency of the storage strategy, and generates a storage management evaluation result.

[0007] As a further solution of the present invention, the data attribute records include the access frequency, file quantity and modification frequency of the optical disc data, the weight distribution results include the weight values ​​of the influencing factors and the sensitivity assessment of the files stored in the optical disc cartridge, the storage optimization scheme includes the storage strategy and hierarchical management guidelines adjusted according to the data priority order, the media matching results include the storage media selection and hierarchical management strategy for differentiated data types, the adjustment feedback records include the load monitoring data, data access pattern and storage efficiency verification results stored in the optical disc cartridge, and the storage management evaluation results include the execution effect, adaptability and efficiency of the storage strategy. Regular inspection results.

[0008] As a further solution of the present invention, the data analysis module includes: The data identification submodule identifies and classifies the file information in each optical disc based on the optical disc data in the optical disc cartridge, identifies the file type associated with the optical disc, classifies the files, and generates a file classification list; The data statistics submodule counts the access frequency, file quantity and modification frequency of the data stored in the optical disc cartridge through the file classification list, and calculates the distribution and variability of the data to obtain statistical analysis results; The attribute identification submodule adopts the statistical analysis result, integrates the information of the access frequency, the number of files and the modification frequency of the data stored in the optical disk cartridge, builds an archive according to the data attributes, and generates a data attribute record.

[0009] As a further solution of the present invention, the weight calculation module includes: The factor analysis submodule analyzes the factors affecting the storage performance of the optical disc cartridge through the data attribute records, and classifies the differentiation factors through data sorting and priority evaluation to generate a factor impact classification diagram; The sensitivity analysis submodule analyzes the sensitivity of the files stored in the optical disk cartridge based on the factor impact classification diagram and adopts a support vector machine algorithm, and obtains a file sensitivity evaluation table using feature vectors of file access and modification records; The weight distribution submodule adopts the file sensitivity assessment table and combines it with the factor impact classification diagram to calculate the weights of the differentiated impact factors, adjust the weights of the differentiated factors, check the files for processing and review based on sensitivity, and generate weight distribution results.

[0010] As a further solution of the present invention, the formula of the support vector machine algorithm is as follows: ; in, is the decision function, is the input feature vector, is the number of vectors, is the support vector, is the class label of the support vector, is the decision function of the support vector, is the Lagrange multiplier, is the Gaussian kernel function, is the bandwidth parameter of the kernel function, is the regularization parameter, is the weight of the error term, is the bias term.

[0011] As a further solution of the present invention, the strategy formulation module includes: The priority evaluation submodule performs a priority evaluation of the data stored in the optical disc cartridge based on the weight distribution result, sorts the data stored in the optical disc cartridge according to the weight priority, and generates a data priority list; The hierarchical management submodule divides the optical disk cartridge storage data into hierarchical levels through the data priority list and the hierarchical management strategy, allocates resources and configures storage space according to the priority, checks the priority data for priority access, and obtains the hierarchical management strategy; The strategy adjustment submodule adopts the hierarchical management strategy to adjust the optical disc cartridge storage strategy, optimizes storage performance by dynamically adjusting storage location and resource configuration, verifies the response speed and data security of the optical disc cartridge storage, and outputs a storage optimization solution.

[0012] As a further solution of the present invention, the medium selection module includes: The resource analysis submodule analyzes the resource usage of the optical disk cartridge storage based on the storage optimization solution, measures the real-time resource utilization through hierarchical management, performs resource demand analysis, and generates resource usage analysis results; The attribute analysis submodule identifies multiple types of stored data through the resource usage analysis result, performs attribute analysis on the data stored in the optical disc cartridge, and classifies the data according to the access frequency and modification frequency of the data to obtain a data type classification table; The medium matching submodule adopts the data type classification table to select storage media of differentiated data types, checks the efficiency and cost of differentiated optical disc cartridge storage by comparing the performance indicators and cost-effectiveness of the media, and outputs the medium matching result.

[0013] As a further solution of the present invention, the dynamic adjustment module includes: The load evaluation submodule monitors the real-time load status of the optical disc cartridge storage, records the optical disc cartridge storage frequency and data flow, performs load analysis on the optical disc cartridge storage, and generates load monitoring analysis results based on the medium matching result; The pattern recognition submodule uses the K-means clustering algorithm to analyze the access pattern of the data stored in the optical disk cartridge through the load monitoring analysis result, and optimizes the data access speed and efficiency by aggregating the data requests into target categories to obtain the access pattern analysis result; The efficiency verification submodule uses the access pattern analysis results to respond to real-time data access requirements, verifies the response time and processing capacity of the optical disk cartridge storage through simulation tests, examines the performance of the storage medium, verifies that the storage efficiency meets expectations, and creates adjustment feedback records.

[0014] As a further solution of the present invention, the formula of the K-means clustering algorithm is as follows: ; in, For the The center of the cluster, For the The set of points included in a cluster, is a single data point in the point set, For data points The weight coefficient of is the variance adjustment coefficient, For the The variance of the clusters, is the skewness adjustment coefficient, For the The skewness of the clusters, is the kurtosis adjustment coefficient, For the The kurtosis of the clusters.

[0015] As a further solution of the present invention, the performance evaluation module includes: The status check submodule periodically checks the operation status of the optical disc cartridge storage based on the adjustment feedback record, records the optical disc cartridge operation parameters and performance indicators, extracts key performance indicators affecting the optical disc cartridge storage, and generates an operation status monitoring result; The effect comparison submodule analyzes the execution effect of the storage strategy through the operation status monitoring results, compares the performance data before and after the storage strategy is executed, and performs effect comparison analysis to verify that the execution of the storage strategy matches the expected goal, thereby obtaining the execution effect analysis results; The strategy adaptability evaluation submodule uses the execution effect analysis result to evaluate the adaptability and efficiency of the storage strategy, analyzes the effectiveness and adaptability of the storage strategy by analyzing the processing time and resource usage of the optical disk cartridge storage data, and outputs the storage management evaluation result.

[0016] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, by deeply analyzing the CD data and recording the access frequency, number of files and modification frequency of the data, the distribution and variability of the data can be calculated more accurately, and the changes in storage requirements and data access patterns can be identified more effectively, so as to achieve accurate recording of data attributes. Weight allocation and sensitivity analysis of CD files are used to build a more detailed storage management strategy, which can adjust the storage location and priority according to the actual usage of the data. It not only improves the efficiency of data retrieval, but also optimizes resource allocation to ensure that data with high access frequency and high sensitivity can be accessed faster, while also reducing unnecessary data migration and storage redundancy. Dynamically monitor the load and data access pattern of the CD tray, respond to real-time data needs, and adjust the mechanism in real time to improve the response speed and operating efficiency of the system. Regular performance evaluation ensures the continuous adaptability and efficiency of the storage strategy, and guarantees the reliability and security of long-term data preservation. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a system flow chart of the present invention; Figure 2 It is a schematic diagram of the system framework of the present invention; Figure 3 It is a flow chart of the data analysis module of the present invention; Figure 4 This is a flow chart of the weight calculation module of the present invention; Figure 5 Develop a module flow chart for the strategy of the present invention; Figure 6 The flow chart of the medium selection module of the present invention; Figure 7 It is a flow chart of the dynamic adjustment module of the present invention; Figure 8 It is a flow chart of the performance evaluation module of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0019] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0020] Embodiment 1 See also Figure 1 to Figure 2 , an optical disk cartridge storage management system based on hierarchical management includes: The data analysis module identifies the stored optical disc data from the optical disc cartridge, records the access frequency, file number and modification frequency of each data item, calculates the distribution and variability of multiple optical disc data items, and generates data attribute records; The weight calculation module uses data attribute records to assign weights to factors that affect the storage of optical disc cartridges according to the access and modification frequency of optical disc data, and obtains weight distribution results in combination with the sensitivity of files stored in the optical disc cartridges; The strategy formulation module evaluates the priority of the data stored in the optical disc cartridge according to the weight distribution result, configures the physical location of the data according to the priority order, adjusts the optical disc cartridge storage strategy by using hierarchical management, optimizes the access speed and security of the data stored in the optical disc cartridge, and outputs the storage optimization plan; The media selection module uses the storage optimization solution to analyze the resource usage of the optical disk cartridge storage, selects matching storage media according to the differentiated data types and access frequencies, and generates media matching results by checking the optimal cost-effectiveness through hierarchical management; The dynamic adjustment module adjusts the storage position according to the media matching results, monitors the load and data access mode of the optical disc cartridge storage, responds to real-time data access requirements, verifies storage efficiency and response speed through cyclic adjustment, and creates adjustment feedback records; The performance evaluation module regularly checks the operation status of the optical disk cartridge storage based on the adjustment feedback records, analyzes the execution effect of the storage strategy, extracts key performance indicators, evaluates the adaptability and efficiency of the storage strategy, and generates storage management evaluation results.

[0021] Data attribute records include the access frequency, file quantity and modification frequency of the CD data. The weight distribution results include the weight values ​​of the influencing factors and the sensitivity assessment of the files stored in the CD cartridge. The storage optimization plan includes the storage strategy and tiered management guidelines adjusted according to the data priority order. The media matching results include the storage media selection and tiered management strategy for differentiated data types. The adjustment feedback records include the load monitoring data, data access patterns and storage efficiency verification results of the CD cartridge storage. The storage management evaluation results include the execution effect, adaptability and efficiency of the storage strategy. Regular inspection results.

[0022] See also Figure 2 , 3 , the data analysis modules include: The data identification submodule identifies and classifies the file information in each optical disc based on the optical disc data in the optical disc cartridge, identifies the file type associated with the optical disc, classifies the files, and generates the file classification list. The execution process is as follows: The data identification submodule automatically identifies and classifies file information based on the disc data in the disc cartridge, and uses advanced recognition algorithms to parse various file formats in the disc, from basic text documents to multimedia files. Using the identified file types, the system sorts and classifies the files according to preset classification standards (such as documents, pictures, videos, etc.) so that users can manage and access data more efficiently. It not only improves the efficiency of data retrieval, but also optimizes the data storage structure, making subsequent data access faster and generating a file classification list. The formula used is: ; in, Indicates a file classification list. is the total number of files on the disc, Indicates The weight of the file, It is The type identifier of the file.

[0023] The data statistics submodule counts the access frequency, file quantity and modification frequency of the data stored in the optical disk cartridge through the file classification list, and calculates the distribution and variability of the data to obtain the statistical analysis results. The execution process is as follows: The data statistics submodule uses the file classification list to perform detailed statistical analysis on the files in the CD, calculate the access frequency, number of files and modification frequency of the CD data, and evaluate the data usage pattern and storage efficiency through indicators. For example, files with high access frequency require more frequent backup or optimized storage solutions. The statistical results also include the distribution and variability of the data, which helps to identify potential problems or optimization points in data storage. It provides an important basis for data management decisions and helps to improve the overall performance and reliability of the data system. The statistical analysis results are obtained using the formula: ; in, The statistical analysis results are shown in is the adjustment factor, , and They represent access frequency, number of files, and file modification frequency respectively.

[0024] The attribute identification submodule uses the statistical analysis results to integrate the information of the access frequency, number of files and modification frequency of the data stored in the optical disc cartridge, and builds the archive according to the data attributes. The execution process of generating data attribute records is as follows; The attribute identification submodule uses statistical analysis results to conduct in-depth analysis and record of various attributes of the data, integrate information on data access frequency, file quantity, and modification frequency, and build a detailed data attribute archive. Through the archive, administrators can quickly obtain a detailed description of the data set, including the frequency of data use, change history, and storage distribution. Attribute identification is essential for implementing advanced data management strategies, such as data migration, backup, and security strategies. By analyzing data attributes, it is also possible to optimize the data storage structure, improve data access efficiency, and generate data attribute records. The formula used is: ; in, Represents a data attribute record, is the weight parameter, They represent access frequency, number of files, and modification frequency respectively.

[0025] See also Figure 2 , 4 , the weight calculation module includes: The factor analysis submodule analyzes the factors that affect the storage performance of the optical disc cartridge by recording data attributes, and classifies the differentiation factors by data sorting and priority evaluation. The execution process of generating the factor impact classification diagram is as follows; The factor analysis submodule comprehensively evaluates and analyzes the key factors that affect the storage performance of optical disc cartridges through data attribute records. It uses advanced data analysis technology to deeply mine data attributes and identify the main variables that affect storage performance. It classifies factors through data sorting and priority evaluation methods to effectively distinguish the factors that have the greatest impact on storage performance. It helps management to take targeted optimization measures, such as improving hardware performance or adjusting data storage strategies, and generates a factor impact classification diagram using the formula: ; in, Indicates the factors affecting the classification, is the total number of factors, For the The influence value of each factor, Rate the priority of the factor.

[0026] The sensitivity analysis submodule uses the support vector machine algorithm to analyze the sensitivity of files stored in the optical disk cartridge based on the factor impact classification diagram, and uses the feature vectors of file access and modification records to obtain the file sensitivity evaluation table. The execution process is as follows: The sensitivity analysis submodule uses the support vector machine (SVM) algorithm to analyze the sensitivity of files stored in the optical disk cartridge based on the factor impact classification diagram, generates feature vectors through file access and modification records, and uses the feature vectors to train the SVM model to accurately predict the sensitivity level of the file. Through sensitivity analysis, sensitive files that require special attention and protection can be identified, which is crucial for complying with data protection regulations and optimizing data security strategies, and a file sensitivity assessment table is formed.

[0027] The formula for the support vector machine algorithm is as follows: ; in, is the decision function, is the input feature vector, is the number of vectors, is the support vector, is the class label of the support vector, is the decision function of the support vector, is the Lagrange multiplier, is the Gaussian kernel function, is the bandwidth parameter of the kernel function, is the regularization parameter, is the weight of the error term, is the bias term.

[0028] The execution flow is as follows: Introducing Gaussian kernel function To replace the original dot product operation to enhance the nonlinear classification ability of the model in high-dimensional space, the bandwidth parameter of the kernel function The optimal value is selected through cross-validation to ensure the best generalization performance and introduce regularization parameters By adjusting the regularization parameters, balancing the complexity of the model and the degree of fit of the training data, adding error term weights , by minimizing the weighted sum of error terms, improving the model's robustness to noise and outliers, synthesizing parameters, and recalculating the decision function , to obtain a more accurate and robust file sensitivity assessment table.

[0029] The weight distribution submodule uses the file sensitivity assessment table and the factor impact classification diagram to calculate the weights of the differentiated impact factors, adjust the weights of the differentiated factors, check the files for processing and review based on sensitivity, and generate the weight distribution results. The execution process is as follows; The weight distribution submodule uses the file sensitivity evaluation table and the factor impact classification diagram to calculate the weights of differentiated influencing factors. By comprehensively considering the sensitivity of the file and the importance of the influencing factors, the weights of the factors are adjusted to ensure the effectiveness and rationality of the data storage and processing strategy. Through dynamic weight distribution, it can ensure that highly sensitive files receive more attention and protection, and regular files are processed according to actual needs to generate weight distribution results. The formula used is: ; in, represents the weight distribution result, is the number of sensitivity ratings, It is The sensitivity score of the files, It is the factor that affects the score.

[0030] See also Figure 2 , 5 , the strategy formulation module includes: The priority evaluation submodule evaluates the priority of the data stored in the optical disc cartridge based on the weight distribution result, sorts the data stored in the optical disc cartridge according to the weight priority, and generates the data priority list. The execution process is as follows; The priority assessment submodule performs a priority assessment on the data stored in the optical disc cartridge based on the weight distribution results. All stored data is sorted according to the weight of importance and sensitivity. Complex algorithms are used to analyze the weight of each data item and determine the priority in the storage strategy. This ensures that key data is given priority in the event of hardware failure or data access peak, and enhances the efficiency and reliability of the data management system. It not only guides daily data operations, but also provides support for emergency management, ensuring that the most important data can be quickly accessed at critical moments, and generates a data priority list using the formula: ; in, Represents a data priority list, Represents the weight array of each data item, Represents each data item, It is a ranking function based on weight.

[0031] The hierarchical management submodule divides the data stored in the optical disk cartridge into layers through the data priority list and the hierarchical management strategy, allocates resources and configures storage space according to the priority, checks the priority data for priority access, and obtains the execution process of the hierarchical management strategy as follows; The hierarchical management submodule implements a hierarchical management strategy through a data priority list, divides the optical disk cartridge storage data into layers, and allocates resources and configures storage space according to the data priority. Hierarchical management allows the system to allocate resources on demand, optimizes the utilization of storage space, and ensures that high-priority data can be quickly accessed. The system can improve response speed and service quality while ensuring data security, making data storage more efficient and flexible. The hierarchical management strategy is obtained using the formula: ; in, Represents the hierarchical management strategy, Indicates The priority of each data item, Expressed as The resource configured by each data item.

[0032] The strategy adjustment submodule adopts a hierarchical management strategy to adjust the storage strategy of the optical disc cartridge, optimizes the storage performance by dynamically adjusting the storage location and resource configuration, verifies the response speed and data security of the optical disc cartridge storage, and outputs the execution process of the storage optimization plan as follows; The policy adjustment submodule adopts a hierarchical management strategy to dynamically adjust the storage location and resource configuration of the optical disc cartridge according to the real-time system performance and data access requirements, continuously monitor the system operation status and data access mode, and timely adjust the storage strategy to cope with changes, thereby improving storage efficiency and data security. By optimizing the storage location and resource allocation of data, the response speed of the optical disc cartridge and the overall performance of the system can be significantly improved, and the storage optimization plan is output. The formula used is: ; in, Indicates the storage optimization solution. Indicates at time The resource adjustment factor, Indicates at time Hierarchical management strategy, represents the integration of resource configuration and hierarchical policies during the observation period.

[0033] See also Figure 2 , 6 , the medium selection module includes: The resource analysis submodule analyzes the resource usage of the optical disk cartridge storage based on the storage optimization solution, measures the real-time resource utilization through hierarchical management, and performs resource demand analysis. The execution process of generating the resource usage analysis result is as follows; The resource analysis submodule analyzes the resource usage of the optical disk cartridge storage in detail based on the storage optimization solution, and provides accurate resource usage reports by real-time monitoring and measuring the resource utilization of each layer of storage. It helps managers understand the efficiency of resource allocation and points out areas of resource waste. Through the hierarchical management strategy, resource allocation can be adjusted dynamically to optimize storage performance. Based on the current resource usage, future resource demand is also predicted and analyzed to support more efficient resource planning and generate resource usage analysis results. The formula used is: ; in, Indicates the resource usage analysis results. Indicates The total amount of resources of the layer, Indicates The resource utilization of the layer, Indicates the total amount of resources, Indicates the number of levels.

[0034] The attribute analysis submodule identifies multiple types of stored data through the resource usage analysis results, performs attribute analysis on the data stored in the optical disc cartridge, and classifies the data according to the access frequency and modification frequency of the data to obtain the data type classification table. The execution process is as follows: The attribute analysis submodule conducts in-depth attribute analysis of stored data based on the results of resource usage analysis, identifies various attributes of stored data, such as data type, access frequency, and modification frequency, and classifies the data. It helps optimize data management and storage strategies to ensure that data is properly processed based on importance and usage frequency. Through attribute analysis, data access efficiency and system response speed can be significantly improved, and a data type classification table can be obtained. The formula used is: ; in, Represents the data type classification table, Represents the data type, Represents the access frequency, Represents the modification frequency, is a classification function.

[0035] The media matching submodule uses the data type classification table to select storage media of differentiated data types, and checks the efficiency and cost of differentiated optical disc cartridge storage by comparing the performance indicators and cost-effectiveness of the media. The execution process of outputting the media matching results is as follows; The media matching submodule uses a data type classification table to select the most suitable storage medium for different types of data, and compares the performance indicators and cost-effectiveness of different media to determine the optimal storage solution. It ensures that each type of data is stored on the medium with the most suitable characteristics, optimizes storage efficiency and reduces costs, and outputs the media matching results. The formula used is: ; in, Indicates the media matching result. is the number of media, Indicates The cost of the medium, Represents performance indicators, is the regulating factor.

[0036] See also Figure 2 , 7 , the dynamic adjustment module includes: The load evaluation submodule monitors the real-time load status of the optical disc cartridge storage based on the media matching result, records the optical disc cartridge storage frequency and data flow, performs load analysis on the optical disc cartridge storage, and generates the execution process of the load monitoring analysis result as follows; The load assessment submodule monitors and records the real-time load status of the optical cartridge storage based on the media matching results, tracks the storage frequency and data flow of the optical cartridge in real time, and provides a detailed view of the current load level. By analyzing the data, it can identify load peaks, storage bottlenecks and potential efficiency issues, helping administrators make necessary adjustments to prevent overload. It also conducts trend analysis and predicts future load changes to support more accurate resource planning and media optimization, and generates load monitoring analysis results using the formula: ; in, Indicates the load monitoring analysis results. Indicates at time The storage frequency, Indicates data traffic. is the observation time window.

[0037] The pattern recognition submodule uses the K-means clustering algorithm to analyze the access pattern of the data stored in the optical disk cartridge through the load monitoring analysis results, and optimizes the data access speed and efficiency by clustering data requests into target categories. The execution process of obtaining the access pattern analysis results is as follows; The pattern recognition submodule uses the K-means clustering algorithm to analyze the access patterns of the data stored in the optical disc cartridges based on the load monitoring analysis results. The clustering algorithm classifies similar data requests into corresponding categories to optimize data access speed and overall storage efficiency. By identifying common access patterns and request behaviors, data can be organized more reasonably, access delays can be reduced, and response speeds can be improved. This helps to design more efficient data caching strategies and loading priorities, and obtain access pattern analysis results.

[0038] The formula of K-means clustering algorithm is as follows: ; in, For the The center of the cluster, For the The set of points included in a cluster, is a single data point in the point set, For data points The weight coefficient of is the variance adjustment coefficient, For the The variance of the clusters, is the skewness adjustment coefficient, For the The skewness of the clusters, is the kurtosis adjustment coefficient, For the The kurtosis of the clusters.

[0039] The execution flow is as follows: Calculate the weight of each data point The weights are determined based on the access frequency and time sensitivity of the data points, and the variance of each cluster is Adjust the cluster centers to reflect the dispersion of the data within the cluster, taking into account the skewness of the cluster and Kurtosis , to assess the asymmetry and sharpness of the cluster shape, and introduce the skewness adjustment coefficient and Kurtosis Adjustment Coefficient The specific value of the coefficient is determined by optimizing the cross-validation data set, and the center of each cluster is recalculated according to the formula based on the parameters and weights. , in order to optimize the data access pattern.

[0040] The efficiency verification submodule uses the access pattern analysis results to respond to real-time data access requirements, verifies the response time and processing capacity of the optical disk cartridge storage through simulation tests, checks the performance of the storage medium, verifies that the storage efficiency meets expectations, and creates the execution process of adjusting feedback records as follows; The efficiency verification submodule uses the access pattern analysis results to simulate the response time and processing capacity of the optical cartridge storage, respond to real-time data access requirements, and verify the performance of the storage medium through actual loading and access tests. The simulation test helps confirm whether the storage system can meet performance expectations in actual operation and ensure the effectiveness of the data storage solution. Through the test, performance bottlenecks and optimization points can be identified, and adjustment feedback records can be generated. The formula used is: ; in, Indicates the storage efficiency verification result. It is The response time of each visit, is the corresponding processing time, is the number of tests.

[0041] See also Figure 2 , 8 , the performance evaluation modules include: The status check submodule periodically checks the operation status of the optical disc cartridge storage based on the adjustment feedback record, records the optical disc cartridge operation parameters and performance indicators, and extracts the key performance indicators that affect the optical disc cartridge storage, and generates the execution process of the operation status monitoring results as follows; The status check submodule regularly checks the operation status of the optical disc cartridge storage based on the adjustment feedback record. Its main task is to monitor the operation parameters and performance indicators of the optical disc cartridge, ensure that all system components operate according to the predetermined specifications, and promptly discover potential problems or performance degradation. By analyzing the collected data, key indicators that affect storage performance, such as read and write speed, error rate, and resource utilization, are extracted. This helps to determine the health status and performance level of the storage system and generate the operation status monitoring results. The formula used is: ; in, Indicates the operating status monitoring results. It is The weight of the performance indicator, is the number of performance indicators, is the corresponding performance indicator value.

[0042] The effect comparison submodule analyzes the execution effect of the storage policy through the operation status monitoring results, compares the performance data before and after the storage policy is executed, and performs effect comparison analysis to verify that the execution of the storage policy matches the expected goal. The execution process of obtaining the execution effect analysis results is as follows; The effect comparison submodule analyzes the execution effect of the storage policy through the operation status monitoring results, and compares the performance data before and after the storage policy is executed, such as response time, data throughput, and system load, to evaluate the actual impact of the policy change. Through comparative analysis, it can be verified whether the storage policy has achieved the expected goals, ensure that the implementation of the policy is effective and reasonable, and obtain the execution effect analysis results. The formula used is: ; in, Indicates the results of the execution effect analysis. and Represent the performance indicators before and after strategy execution, respectively.

[0043] The strategy adaptability evaluation submodule uses the execution effect analysis results to evaluate the adaptability and efficiency of the storage strategy. By analyzing the processing time and resource utilization rate of the optical disk cartridge storage data, the effectiveness and adaptability of the storage strategy are analyzed. The execution process of outputting the storage management evaluation results is as follows; The policy adaptability evaluation submodule uses the execution effect analysis results to evaluate the adaptability and efficiency of the storage policy. It evaluates the performance of the storage policy under different conditions by deeply analyzing the processing time and resource utilization of the optical disk cartridge storage data. It helps to identify the effectiveness of the policy in a specific environment, ensure that the storage policy can adapt to the changing business needs and technical environment, and output the storage management evaluation results. The formula used is: ; in, Indicates the storage management assessment results. It is The processing time of an operation, is the number of operations, is the resource usage of the corresponding operation.

[0044] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. An optical disk cartridge storage management system based on hierarchical management, characterized in that: The system comprises: The data analysis module identifies the stored optical disc data from the optical disc cartridge, records the access frequency, file number and modification frequency of each data item, calculates the distribution and variability of multiple optical disc data items, and generates data attribute records; The weight calculation module distributes weights to factors that affect the storage of optical disc cartridges through the data attribute records, and obtains weight distribution results in combination with the sensitivity of the files stored in the optical disc cartridges; The strategy formulation module evaluates the priority of the optical disc cartridge storage data according to the weight distribution result, adjusts the optical disc cartridge storage strategy through hierarchical management according to the priority order, and outputs a storage optimization plan; The medium selection module uses the storage optimization solution to analyze the resource usage of the optical disk cartridge storage, selects storage media according to the differentiated data types, and generates a medium matching result through hierarchical management; The dynamic adjustment module monitors the load and data access mode of the optical disk cartridge storage according to the media matching result, responds to real-time data access requirements, verifies storage efficiency, and creates adjustment feedback records; The performance evaluation module regularly checks the operation status of the optical disc cartridge storage based on the adjustment feedback record, analyzes the execution effect of the storage strategy, evaluates the adaptability and efficiency of the storage strategy, and generates a storage management evaluation result.

2. The optical disk cartridge storage management system based on hierarchical management according to claim 1, characterized in that: The data attribute records include the access frequency, file quantity and modification frequency of the optical disc data, the weight distribution results include the weight values ​​of the influencing factors and the sensitivity assessment of the files stored in the optical disc cartridge, the storage optimization plan includes the storage strategy and hierarchical management guidelines adjusted according to the data priority order, the media matching results include the storage media selection and hierarchical management strategy for differentiated data types, the adjustment feedback records include the load monitoring data, data access pattern and storage efficiency verification results stored in the optical disc cartridge, and the storage management evaluation results include the execution effect, adaptability and efficiency of the storage strategy. Regular inspection results.

3. The optical disk cartridge storage management system based on hierarchical management according to claim 1, characterized in that: The data analysis module includes: The data identification submodule identifies and classifies the file information in each optical disc based on the optical disc data in the optical disc cartridge, identifies the file type associated with the optical disc, classifies the files, and generates a file classification list; The data statistics submodule counts the access frequency, file quantity and modification frequency of the data stored in the optical disc cartridge through the file classification list, and calculates the distribution and variability of the data to obtain statistical analysis results; The attribute identification submodule adopts the statistical analysis result, integrates the information of the access frequency, the number of files and the modification frequency of the data stored in the optical disk cartridge, builds an archive according to the data attributes, and generates a data attribute record.

4. The optical disk cartridge storage management system based on hierarchical management according to claim 1, characterized in that: The weight calculation module includes: The factor analysis submodule analyzes the factors affecting the storage performance of the optical disc cartridge through the data attribute records, and classifies the differentiation factors through data sorting and priority evaluation to generate a factor impact classification diagram; The sensitivity analysis submodule analyzes the sensitivity of the files stored in the optical disk cartridge based on the factor impact classification diagram and adopts a support vector machine algorithm, and obtains a file sensitivity evaluation table using feature vectors of file access and modification records; The weight distribution submodule adopts the file sensitivity assessment table and combines it with the factor impact classification diagram to calculate the weights of the differentiated impact factors, adjust the weights of the differentiated factors, check the files for processing and review based on sensitivity, and generate weight distribution results.

5. The optical disk cartridge storage management system based on hierarchical management according to claim 4, characterized in that: The formula of the support vector machine algorithm is as follows: ； in, is the decision function, is the input feature vector, is the number of vectors, is the support vector, is the class label of the support vector, is the decision function of the support vector, is the Lagrange multiplier, is the Gaussian kernel function, is the bandwidth parameter of the kernel function, is the regularization parameter, is the weight of the error term, is the bias term.

6. The optical disk cartridge storage management system based on hierarchical management according to claim 1, characterized in that: The strategy formulation module includes: The priority evaluation submodule performs a priority evaluation of the data stored in the optical disc cartridge based on the weight distribution result, sorts the data stored in the optical disc cartridge according to the weight priority, and generates a data priority list; The hierarchical management submodule divides the optical disk cartridge storage data into hierarchical levels through the data priority list and the hierarchical management strategy, allocates resources and configures storage space according to the priority, checks the priority data for priority access, and obtains the hierarchical management strategy; The strategy adjustment submodule adopts the hierarchical management strategy to adjust the optical disc cartridge storage strategy, optimizes storage performance by dynamically adjusting storage location and resource configuration, verifies the response speed and data security of the optical disc cartridge storage, and outputs a storage optimization solution.

7. The optical disk cartridge storage management system based on hierarchical management according to claim 1, characterized in that: The medium selection module comprises: The resource analysis submodule analyzes the resource usage of the optical disk cartridge storage based on the storage optimization solution, measures the real-time resource utilization through hierarchical management, performs resource demand analysis, and generates resource usage analysis results; The attribute analysis submodule identifies multiple types of stored data through the resource usage analysis result, performs attribute analysis on the data stored in the optical disc cartridge, and classifies the data according to the access frequency and modification frequency of the data to obtain a data type classification table; The medium matching submodule adopts the data type classification table to select storage media of differentiated data types, checks the efficiency and cost of differentiated optical disc cartridge storage by comparing the performance indicators and cost-effectiveness of the media, and outputs the medium matching result.

8. The optical disk cartridge storage management system based on hierarchical management according to claim 1, characterized in that: The dynamic adjustment module comprises: The load evaluation submodule monitors the real-time load status of the optical disc cartridge storage, records the optical disc cartridge storage frequency and data flow, performs load analysis on the optical disc cartridge storage, and generates load monitoring analysis results based on the medium matching result; The pattern recognition submodule uses the K-means clustering algorithm to analyze the access pattern of the data stored in the optical disk cartridge through the load monitoring analysis result, and optimizes the data access speed and efficiency by aggregating the data requests into target categories to obtain the access pattern analysis result; The efficiency verification submodule uses the access pattern analysis results to respond to real-time data access requirements, verifies the response time and processing capacity of the optical disk cartridge storage through simulation tests, examines the performance of the storage medium, verifies that the storage efficiency meets expectations, and creates adjustment feedback records.

9. The optical disk cartridge storage management system based on hierarchical management according to claim 8, characterized in that: The formula of the K-means clustering algorithm is as follows: ； in, For the The centers of the clusters, For the The set of points included in a cluster, is a single data point in the point set, For data points The weight coefficient of is the variance adjustment coefficient, For the The variance of the clusters, is the skewness adjustment coefficient, For the The skewness of the clusters, is the kurtosis adjustment coefficient, For the The kurtosis of the clusters.

10. The optical disk cartridge storage management system based on hierarchical management according to claim 1, characterized in that: The performance evaluation module includes: The status check submodule periodically checks the operation status of the optical disc cartridge storage based on the adjustment feedback record, records the optical disc cartridge operation parameters and performance indicators, extracts key performance indicators affecting the optical disc cartridge storage, and generates an operation status monitoring result; The effect comparison submodule analyzes the execution effect of the storage strategy through the operation status monitoring results, compares the performance data before and after the storage strategy is executed, and performs effect comparison analysis to verify that the execution of the storage strategy matches the expected goal, thereby obtaining the execution effect analysis results; The strategy adaptability evaluation submodule uses the execution effect analysis result to evaluate the adaptability and efficiency of the storage strategy, analyzes the effectiveness and adaptability of the storage strategy by analyzing the processing time and resource usage of the optical disk cartridge storage data, and outputs the storage management evaluation result.

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