46 results about "Computer data storage" patented technology

The invention relates to the technical field of computer data storage and distributed systems, in particular to a distributed read-write method for large model training, which comprises the following steps of: constructing a hierarchical structure of local cache, distributed shared cache and persistent storage, and maintaining a global cache table copy at each client to register file blocks and cache positions. And during writing, firstly writing in a local cache and copying to other client nodes, and submitting persistent storage after registration is completed. During reading, the file blocks are obtained from the local cache and the distributed shared cache in sequence, if the file blocks are not hit, the file blocks are obtained from the persistent storage, meanwhile, the effective file blocks are written back to the local, and table items are supplemented. Unified visibility is achieved through position mapping and version constraint, nearby reading and fault recovery are achieved, back-end pressure and access delay are reduced, and the method is suitable for large-scale training and batch processing scenes.

The invention discloses a computer network data storage encryption method and system based on artificial intelligence, and relates to the technical field of computer data storage, the system comprises an acquisition component, a processing component, a calculation component and an encryption management component, the calculation component comprises a data risk assessment unit, a key update adjustment unit and a dynamic key encryption unit, the security of the storage system is improved through the three core units, the data risk assessment unit integrates multi-dimensional parameters and fuses hardware features, AI anomaly confidence and the like, the blank of hidden anomaly perception is filled up, the security of the storage system is improved, the security of the storage system is improved, the security of the storage system is improved, and the security of the storage system is improved. The key updating and adjusting unit is coupled with physical space abnormity, authentication strength and performance risks, a self-adaptive period is achieved to balance safety and efficiency, the dynamic key encryption unit fuses hardware fingerprints, data versions and AI disturbance, a scenarized anti-attack key is generated, and the anti-cracking capacity is improved.

The invention provides an intelligent blue light storage method, system and device based on S3 storage and a medium, and belongs to the field of computer data storage, and the method comprises the following steps: recording business file data to a cache region through an S3 interface; counting a business data record table and a data log table in a specified period; identifying hot data and cold data in the business data record table based on the data log table in the specified period; periodically identifying and marking the hot data and the cold data by using the S3 storage type; intelligent storage resource allocation processing is carried out based on the hot data; intelligent distribution processing of storage resources is carried out based on the cold data, and the storage resources are packaged and stored in a blue-ray disc jukebox; and S3, based on the intelligent distribution system stored in the S3, performing reading operation on the cold data on the optical disc. According to the method, the problem of single received data of traditional blue light storage is solved, automatic and precise classification of cold and hot data is realized, manual subjective judgment errors are avoided, the hot data access efficiency is improved, and the storage performance is optimized.

A computer data storage device connected to a host computer through a host interface is disclosed. The computer data storage device contains a storage unit which stores data and includes a user area and a security area; a user input / output unit which receives an input relating to an operation mode of the computer data storage device, that is, a normal mode and a management mode, and related information from a user and displays same; and a control unit which communicates with the host computer and is connected to the storage unit and the user input / output device so as to control the operation mode. The control unit is configured to, when the host computer is to change structure information of the user area, generate recovery information for preserving data stored in the user area and store same in the security area.

The application discloses an IO flow rate limiting control method and device, electronic equipment and a storage medium, relates to the technical field of computer data storage, and comprises the following steps: configuring concurrent processing parameters and total capacity parameters of a task pool; identifying the request type of a newly arrived input / output request, and distributing the input / output request to a corresponding queue in the task pool or the cache pool according to the request type and the task pool state; checking the task pool and the cache pool state at a preset time interval, and scheduling the input / output request in the cache pool to the task pool according to a priority order; when a high-priority input / output request arrives and the task pool is full, transferring low-priority input / output requests in the task pool to the cache pool, and limiting the allocation of computing resources to IO requests. The technical problems that related technologies lack flexible and dynamic regulation and control mechanisms can be solved, the processing efficiency of the system for IO requests and the resource utilization rate are improved, and the stability and reliability of the distributed storage system are enhanced.

The invention relates to generating file block change information for a backup. Example implementations relate to computer data storage. In some examples, a file system scanner identifies files in a file system, where each file includes a logical block, and where the file system is included in a backup. A file system scanner generates a read buffer to store logical blocks of a file. The block filter driver determines that the read buffer includes a predefined signature, and in response determines whether the logical block has been modified in the backup. In response to determining that the logical block has been modified in the backup, the block filter driver sets a modification flag in the read buffer to a value indicating that the logical block has been modified.

The invention discloses a computer data storage security management method and system based on deep learning, and the method comprises the steps: extracting a local mode of multi-modal data through a CNN (convolutional neural network), outputting a spatial-temporal feature vector, carrying out the time-sequence modeling through an LSTM (long short-term memory) network, generating a dynamic behavior feature, outputting a time-sequence feature vector, and carrying out the storage security management of the multi-modal data. Extracting equipment association features based on a GNN graph neural network, and outputting an equipment association vector; performing weight distribution on the spatial-temporal feature vector, the time sequence feature vector and the equipment association vector through a multi-head attention module, and outputting a risk scoring index through a full connection layer; and judging whether the current operation is a high-risk behavior based on the risk scoring index, if the current operation is the high-risk behavior, performing anomaly analysis through a clustering algorithm, identifying an outlier deviating from a normal mode, and dynamically adjusting a protection measure according to an anomaly result. And the occurrence probability of security incidents such as data leakage and equipment failure is effectively reduced.

This invention discloses a dynamic scaling method for replica storage based on access popularity and storage bandwidth, belonging to the field of computer data storage. It aims to solve the problems of imbalance between storage system resource utilization and service reliability, and insufficient bandwidth adaptation. The method includes: First, collecting hardware parameters of storage nodes to calculate the actual bandwidth and determine the bandwidth thresholds corresponding to hot, warm, and cold blocks; second, collecting and preprocessing data block access logs, and statistically classifying them based on popularity; third, combining system availability targets, screening candidate storage nodes and calculating the minimum number of replicas for hot and warm blocks and the erasure coding storage requirements for cold blocks; then, performing replica scaling and cold block mode conversion to ensure that the total bandwidth of storage nodes meets the target; finally, verifying bandwidth and popularity after the operation to avoid adaptation failures. This invention is applicable to scenarios of storage resource and access performance optimization, providing a bandwidth adaptation solution, balancing storage costs and reliability, and improving system performance.

The invention discloses a computer data storage method based on big data, which relates to the technical field of data storage, and comprises the following steps: constructing a multi-layer storage structure to obtain initial data block distribution mapping; generating erasure codes according to the initial data block distribution mapping to obtain a redundant code set; performing node mapping according to the redundant code set to obtain a node mapping condition; carrying out load balancing among the nodes according to the node mapping condition to obtain a load balancing result; performing data copy adjustment according to a load balancing result to obtain final copy configuration; and performing global access path mapping according to the final copy configuration to obtain an access mapping result. According to the method, the node overload risk is reduced, the load balance of the nodes is improved, the concurrent access performance and the node stability are improved, the cold data are preferentially mapped to the nodes with rich capacity and high loads, and dynamic adaptation and balance of resources are achieved.

This invention discloses a data storage method and system based on a scalable multidimensional learning index structure, belonging to the field of computer data storage. This system fully utilizes storage characteristics to organize data into memory and disk, significantly reducing disk I / O with minimal memory usage, accelerating data search speed, and supporting data expansion. This invention can be applied to multidimensional data indexing, typically represented by geospatial data, meeting the need for rapid multidimensional key searching in the high-dimensional key space of such data.

The present application relates to the technical field of computer data storage, and particularly provides a data storage method and device, electronic equipment and storage medium, aiming at solving the problem of consuming a large amount of cpu and disk io when using the existing B+ tree to flush. To this end, the data storage method comprises: constructing a database data layer, containing a plurality of shard pages, and storing complete KV key-value pair data on each shard page; constructing a database index layer, storing index information of the KV key-value pair data stored in the database data layer, the index information being stored in a tree structure, including a split key of each shard page as an index key, and ID information of the shard page corresponding to each split key as an index value. The present application stores data and index separately by constructing the database data layer and the index layer, so as to improve performance and reduce resource consumption.

The invention relates to the technical field of data storage, in particular to a computer data storage method and system based on the Internet of Things, and the method comprises the following steps: obtaining a page block write-in operation stream set, extracting repeated numbers and operation sequences, adjusting a buffer sequence structure, aggregating attribution page block paths, and constructing a write-in distribution and node association relationship. And obtaining a data node write-in organization structure. According to the method, a priority write-in sequence is extracted through a page block number and an operation time sequence, a page block arrangement structure in a buffer area is reconstructed, page blocks with associated characteristics are aggregated into a continuous path in combination with a logic attribution relation, a centralized write-in process in a logic block is established, and a write-in distribution state is extracted through a corresponding relation between a node identifier and the page block number. A data organization structure with attribution boundaries, path connectivity and scheduling order features is generated, the local intensive degree, the structure connection capability and cooperation and coordination among cross-node paths are enhanced, and the organization of write-in paths and the consistency of data distribution structures are improved.

The present disclosure relates to data migration using a consistency group. Example embodiments relate to computer data storage. In some examples, a controller establishes a migration link between a first storage device and a second storage device and creates a consistency group that includes a replica volume and a control volume stored on the first storage device. The controller initiates a data copy from the replica volume to a proxy volume on the second storage device based on the consistency group. In response to completion of the data copy from the replica volume to the proxy volume, the controller initiates replication of the proxy volume to the second storage device. Further, in response to completion of the replication of the proxy volume, the controller transfers a copy of the control volume to the second storage device, wherein the transfer of the copy of the control volume causes completion of migration of the consistency group.

This application discloses a data protection processing method and system, relating to the field of computer data storage and information security technology. The method involves a first driver module running in the file system layer of the operating system's storage stack intercepting file write requests, obtaining contextual semantic information of the file write requests, and determining a data protection strategy for the requested file writes based on the contextual semantic information using a target decision model. This generates a strategy instruction containing the data protection strategy, which is then output through a cross-layer communication channel. This strategy instruction instructs a second driver module running in the layer below the file system layer in the storage stack to map the requested file writes to a storage area corresponding to the layer below the file system layer in the storage stack, and to perform data protection operations corresponding to the data protection strategy on that storage area.

The invention provides a computer system intelligent backup method based on a thermal power plant, and relates to the technical field of power system automation and computer data storage, and the method comprises the steps: S1, obtaining scene feature parameters, medium state parameters and data demand parameters according to a power plant system signal, and outputting a parameter collection set; s2, constructing a data demand portrait according to the parameter acquisition set, and calculating and outputting a data demand weight; and S3, according to the data demand weight, calculating and outputting an adaptation degree matrix of each medium node in the distributed storage node cluster. Compared with the prior art, the method has the following beneficial effects: firstly, the relationship between the core data backup requirement and the medium load under the starting scene can be dynamically coordinated; 2, the medium overload risk caused by the sharp increase of the data volume in the maintenance scene can be effectively dealt with; and thirdly, the resource utilization efficiency is continuously improved and the high backup performance is stably maintained in long-term operation.

The invention discloses a data storage device for computer network security, and belongs to the technical field of computer data storage, the data storage device comprises a lower shell and an upper shell fixed on the lower shell through bolts, the upper surface of the upper shell and the outer side surface of the lower shell are both provided with concave through grooves, and the concave through grooves are communicated with the lower shell. Concave through grooves are formed in the upper shell body and the lower shell body, strip-shaped air holes used for heat dissipation are formed in the concave through grooves in the upper shell body and the lower shell body, the corresponding strip-shaped air holes penetrate through the upper shell body and the lower shell body, energy absorption mechanisms are arranged on the lower surface of the upper shell body and the inner side of the lower shell body, and each energy absorption mechanism comprises a roller shaft used for energy absorption. By decomposing and converting impact force, rapid and effective energy absorption is achieved, then it can be guaranteed that the storage body is not damaged, in addition, when the temperature of the storage body is high, the heat dissipation efficiency and effect of the storage body are improved, the possibility that dust enters the storage body can be reduced at the normal temperature, the dust is prevented from affecting the performance of the storage body, and when the temperature is high, the heat dissipation efficiency is improved. And the use performance is ensured by improving the heat dissipation efficiency and effect.

Example implementations relate to computer data storage. In some examples, a filesystem scanner identifies files in a filesystem, where each file comprises logical blocks, and where the filesystem is included in a backup. The filesystem scanner generates a read buffer to store a logical block of a file. A block filter driver determines that the read buffer includes a predefined signature, and in response determines whether the logical block was modified in the backup. In response to a determination that the logical block was modified in the backup, the block filter driver sets a modification flag in the read buffer to a value indicating that the logical block was modified.

Disclosed herein is a radiation therapy system comprising: a radiation delivery system for delivering radiation to a target area of a patient; a computer data storage device configured to store a current radiotherapy plan, the current radiotherapy plan comprising a plurality of control points, each control point defining a value of at least one radiation delivery variable; a delivery control module configured to retrieve a current radiotherapy plan and control the radiation delivery system to deliver radiation to the target area based on the current radiotherapy plan; and a plan adjustment module.

The utility model relates to computer data storage equipment technical field especially, relate to a computer data storage equipment convenient to store. The utility model provides such a computer data storage equipment convenient to store, including shell, placing box and data storage main part, shell inside is provided with placing box, and placing box inside places with a plurality of data storage main part. Looseness press block, and second elastic member restores original state and drives push press block and extrusion block and moves forward reset, simultaneously, because extrusion block no longer extrudes card block, first elastic member restores original state and pushes card block and moves down and extends, makes card block and clamps into the card slot, thereby carries out spacing and fixed to data storage main part, effectively prevents the data storage main part from loosening or displacement in placing box when moving or carrying shell.

The invention relates to the technical field of computer data storage and management, and discloses a file reference-based data association maintenance processing method and system, which comprises the following steps of: determining a reference relationship of a source file to specific data of a target file, calculating a topological feature vector, storing the topological feature vector in the source file, and writing a reverse reference identifier in an extended attribute of the target file; monitoring a write-in instruction for the target file, generating a differential tuple, and stacking the differential tuple to an increment differential data sequence in the extended attribute of the target file; in response to a source file reading request, performing displacement transfer superposition operation on the original reference position by using the differential tuple to obtain a predicted reference position; and verifying feature vector matching of the data at the predicted position, updating the source file reference position and removing the processed differential tuple. According to the method, the increment change is recorded by utilizing the file extension attribute, automatic maintenance and self-healing of the reference relationship are realized under the condition of no centralized database through an inert analysis and vector correction mechanism, and the system overhead is reduced.

The utility model discloses a storage device applied to a computer, and relates to the technical field of computer data storage. Comprising a hard disk bracket and a hard disk module, a power interface is installed on the outer wall of the rear side of the hard disk bracket, an SATA connector is installed on the inner wall of the rear side of the hard disk bracket and electrically connected with the power interface, and a clamping groove is formed in the hard disk bracket. According to the storage device applied to the computer, the clamping grooves formed in the hard disk bracket are arranged in a matrix mode, so that the hard disk modules are placed in order, the storage data volume in unit volume is large, the hard disk modules can be rapidly installed, fixed and disassembled under the cooperation of the springs, the lock catches and the lock holes, operation is easy and rapid, the field installation difficulty can be greatly lowered, and the storage efficiency is improved. Meanwhile, the hard disk modules are connected in a hot plug mode, a single hard disk can be conveniently replaced and maintained, operation of other hard disks cannot be affected, and particularly the maintenance time is greatly shortened when faults occur.

The invention discloses a computer data storage method and system based on the Internet of Things, and relates to the technical field of the Internet of Things, the computer data storage system comprises an equipment access module, a state perception module, a decision scheduling module and the like, heterogeneous data is received, then subjected to protocol adaptation standardization and stored at the edge and the cloud end in a hierarchical mode according to a dynamic strategy, data synchronization is achieved, and query is supported; the method has the advantages that edge node storage resources, cloud loads and network states are perceived in real time through a reinforcement learning model of the decision scheduling module, an edge-cloud storage quota proportion and a synchronization strategy are dynamically generated, elastic allocation of the resources is achieved, and the resource utilization rate is improved. And the synchronization control module executes real-time synchronization according to the strategy when the network is stable, so that the problems of unbalanced static resource allocation in edge-cloud collaborative storage and low data synchronization efficiency in a weak network environment are effectively solved, and finally the resource utilization rate and synchronization reliability of data storage of the Internet of Things are improved.

The invention discloses a portable computer data storage and transmission integrated device, and relates to the technical field of computer data storage and transmission, the portable computer data storage and transmission integrated device comprises a portable shell and a data storage and transmission assembly, the open end of the portable shell is provided with a detachable shell cover through an elastic clamping mechanism, and the shell cover is provided with an elastic clamping mechanism; the data storage and transmission assembly is clamped in the portable shell through the supporting and limiting mechanism. The portable shell and the detachable shell cover are adopted, rapid disassembly and assembly are achieved through the elastic clamping mechanism, equipment can be opened without tools, internal components can be conveniently maintained and overhauled, the intelligent heat dissipation mechanism is arranged in the portable shell, heat dissipation can be automatically conducted when the temperature rises, the equipment can be prevented from being overheated, and the service life of the equipment is prolonged. In addition, a dual-mode transmission module is integrated on the data storage and transmission assembly, so that the equipment can support multiple data transmission modes and meet the data transmission requirements in different scenes, meanwhile, the main control module can automatically optimize a storage strategy, and the storage efficiency and the data security are improved.

The invention provides a cache mirror image determination method and a storage system, which can be applied to the technical field of computer data storage. The cache mirror image determination method comprises the steps that a first cache mirror image pair is determined, a target first controller in a plurality of first controllers serves as a main node, a target second controller in a plurality of second controllers is determined to serve as a standby node according to a node identifier of any first controller, the plurality of first controllers are arranged in a first machine frame, and the plurality of second controllers are arranged in a second machine frame; the plurality of first controllers are arranged on the first machine frame, the plurality of second controllers are arranged on the second machine frame, the first machine frame and the second machine frame are respectively connected with the shared memory, and the first machine frame and the second machine frame belong to the same input and output group, so that the plurality of first controllers and the plurality of second controllers cooperatively process data storage requests; a second cache mirror image pair is determined, the target second controller serves as a main node, the alternative first controller serves as a standby node, and the alternative first controller is any one of the multiple first controllers except the target first controller;

The present invention provides a data storage fault-tolerant redundancy method, system, computer device and storage medium, which belongs to the field of computer data storage technology. In the method, multiple data slices in a data stripe are evenly divided into multiple subgroups in sequence; when a data slice in a target subgroup fails, the remaining data slices in the target subgroup are read to repair the failed data slices; the data slices of all subgroups are encoded to obtain multiple cross-group check slices, and when more than one data slice in the target subgroup fails, the failed data slices are repaired according to the multiple cross-group check slices and the data slices corresponding to the remaining subgroups. In the case where multiple blocks of data are damaged simultaneously in the same stripe, the present invention can avoid falling back to global RS recovery to maintain the advantage of local repair.

The invention provides a data relation and state separated storage method, a response processing method and equipment, and belongs to the technical field of computer data storage and management. The method comprises the following steps: performing hash calculation on a target key, and determining a bucket number and an index position; and writing the key information of the target key into a corresponding index position in the key state page, writing the value data associated with the target key into a specified storage area in the value state page, recording a pointer pointing to the specified storage area at the corresponding index position in the key state page, and setting an effective mark as effective. By adopting a storage architecture in which a key metadata area is separated from a value data area, a key identifier, an effective mark and a storage position index pointing to the value data area are maintained in the key metadata area, and actual state data are independently stored in the value data area, so that physical storage of the state data and relation management of keys can be decoupled.

The application provides a computer system intelligent backup method based on a thermal power plant, relates to the fields of power system automation and computer data storage technology, and comprises the following steps: S1, acquiring scene characteristic parameters, medium state parameters and data demand parameters according to power plant system signals, and outputting a parameter collection set; S2, constructing a data demand portrait according to the parameter collection set, calculating and outputting a data demand weight; and S3, calculating and outputting an adaptation degree matrix of each medium node in a distributed storage node cluster according to the data demand weight. Compared with the prior art, the application has the following beneficial effects: 1. The relationship between core data backup demand and medium load under a dynamic coordination starting scene can be coordinated; 2. The medium overload risk caused by the explosive growth of data under a maintenance scene can be effectively coped with; and 3. The resource utilization efficiency is continuously improved in long-term operation, and high backup performance is stably maintained.

Example implementations relate to computer data storage. In some examples, a filesystem scanner identifies files in a filesystem, where each file comprises logical blocks, and where the filesystem is included in a backup. The filesystem scanner generates a read buffer to store a logical block of a file. A block filter driver determines that the read buffer includes a predefined signature, and in response determines whether the logical block was modified in the backup. In response to a determination that the logical block was modified in the backup, the block filter driver sets a modification flag in the read buffer to a value indicating that the logical block was modified.

Example implementations relate to computer data storage. In some examples, a controller of a first device receives a first data file comprising operating health information for a second device. The controller of the first device stores the first data file in a memory of the first device, and determines whether the second device is in operating normally. Further, in response to a determination that the second device is not operating normally, the controller of the first device moves the first data file from the memory of the first device to a persistent storage of the first device.

The invention discloses a reverse programming implementation method and device based on a Flash memory, and belongs to the technical field of computer data storage, and the method comprises the following steps: obtaining to-be-written data and equipment working load parameters, generating a dynamic address sequence, calculating a reverse programming sequence in combination with historical write operation data of the memory, and generating a self-adaptive reverse address sequence; acquiring real-time power supply state information, configuring a write parameter of the Flash memory based on the self-adaptive reverse address sequence, generating a self-adaptive write configuration parameter, executing a self-adaptive reverse write operation, performing write verification, and generating a write verification result; and updating the storage management information according to the write verification result. The self-adaptive reverse address sequence and the self-adaptive writing configuration parameters are generated by integrating the to-be-written data, the device working load, the historical abrasion of the memory and the real-time power state, abrasion balance and reliable data writing can be achieved, and therefore the service life of the memory is prolonged, and the system stability is improved.