28 results about "Computer data storage" patented technology

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.

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.

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 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.

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 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.

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 computer data storage cabinet, and relates to the technical field of computers, the computer data storage cabinet comprises a computer data storage cabinet, the computer data storage cabinet comprises a cabinet body, a plurality of support rods, a plurality of support cylinders, a plurality of support plates and a plurality of fixing seats; the rear sides of the multiple supporting rods are fixedly connected with the left side and the right side of the rear side in the cabinet body, and the interiors of the multiple supporting cylinders are slidably connected with the surfaces of the multiple supporting rods. Through cooperative use of the data storage cabinet, the clamping assembly, the transmission assembly, the supporting assembly and the connecting assembly, storage equipment is installed and protected through the data storage cabinet, the storage equipment is clamped and fixed through the clamping assembly, the clamping assembly is driven through the transmission assembly, the supporting plate is supported through the supporting assembly, and the storage equipment is installed and protected through the connecting assembly. And the support plate is connected and fixed through the connecting assembly, so that the problem that the data storage cabinet is inconvenient to install the storage equipment is solved.

The application provides a kind of intelligent blue light storage method, system, equipment and medium based on S3 storage, belongs to computer data storage field, comprising: through S3 interface, business file data is included to buffer area;Business data record table and data log table in specified period are counted;Based on the data log table in specified period, hot data and cold data in business data record table are identified;Periodic identification and marking of hot data and cold data are carried out using S3 storage type;Intelligent allocation of storage resources is carried out based on hot data;Intelligent allocation of storage resources is carried out based on cold data, and the cold data is packed and stored to blue-ray disc library;Based on the intelligent distribution system of S3 storage, the cold data on the optical disc is read.The application solves the problem of single data reception of traditional blue light storage, realizes the automatic and accurate classification of hot and cold data, avoids the subjective judgment error of manual, improves the hot data access efficiency and optimizes the storage performance.

Example implementations relate to computer data storage. In some examples, a metadata scanner identifies files in a filesystem, wherein each file comprises logical blocks, and where the filesystem is included in a backup. The metadata scanner issues a read call for a logical block. A filesystem layer translates the read call into a set of translated read calls. For each translated read call, a metadata extractor determines whether the translated read call is to read a metadata block. In response to a determination that the translated read call is to read the metadata block, the metadata extractor obtains the metadata block from a persistent storage device, and stores the obtained metadata block in a metadata cache.

The invention discloses a data intelligent hierarchical storage method and system based on multi-dimensional quantitative evaluation, and relates to the technical field of computer data storage. The method is used for solving the problems that cold and hot data identification lags behind, migration strategies lack collaboration and system performance fluctuation regulation and control are insufficient in traditional hierarchical storage. The method comprises the following steps: collecting dynamic access features and static attribute features of a data object in real time, adaptively adjusting feature weights according to activeness fluctuation, and calculating a hierarchical migration coefficient; a business operation sequence co-occurrence relation is analyzed to construct a data association graph, and a collaborative migration constraint is established in combination with density clustering and space-time locality, so that synchronous migration of high-association objects is realized; a trend term, a season term and a residual term are extracted through time sequence analysis, a service load prediction function is constructed, a low load migration window is recognized, and priority scheduling is conducted on a high I / O task; model parameters are dynamically adjusted by monitoring performance jitter and response deviation degree, and hierarchical decision intelligence and system stability are improved.

The utility model discloses a support bracket of a hard disk and the hard disk, which belong to the technical field of computer data storage and read-write, and comprise a coil cantilever and a magnetic head cantilever, a protruding strip is arranged at one end of the magnetic head cantilever and located between the first cantilever and the second cantilever, coil limiting grooves are formed in the top and the bottom of the containing groove, and the two coil limiting grooves are connected with the two ends of the protruding strip respectively. According to the utility model, the coil cantilevers are arranged to be the first cantilever and the second cantilever which are opposite to each other, and the coil cantilevers, the protruding strips on the magnetic head cantilever and the coil limiting grooves at the top and the bottom of the accommodating groove are integrally designed, so that multiple cooperative gains are realized. Through the communication design of the raised strip and the coil limiting groove, the electrical connection point of the raised strip of the voice coil is physically fused with the mechanical limiting structure of the coil limiting groove, so that the lead path of the coil is shortened, the fixation is strengthened, the mechanical reliability of the connection point is improved, and the risk that a welding point is broken due to vibration fatigue is avoided.

The application discloses a data classification storage method and device and a storage medium, relates to the technical field of computer data storage, and comprises the following steps: acquiring multi-modal data; inputting the multi-modal data into an intelligent classification model to obtain a classification result; wherein the intelligent classification model is obtained through a bootstrap training strategy, and the bootstrap training strategy comprises the following steps: generating weak labels for unlabeled data based on a labeling function generated based on a preset rule, and performing cold start training on an initial classification model; screening data with prediction uncertainty satisfying a preset condition based on an active learning mechanism to perform labeling backfilling, iteratively updating the initial classification model, and obtaining the intelligent classification model; and based on the classification result, determining a target storage node of the multi-modal data in a distributed storage architecture, and writing the multi-modal data into the target storage node. The model cold start problem is solved through the bootstrap training strategy, and massive manual labeling is not required. In addition, the active learning and labeling backfilling are used, so that the classification accuracy of the multi-modal data is improved.

The invention relates to the technical field of data backup, in particular to a data backup system. Comprising an input terminal, an identification unit, a distribution unit, a storage unit and a backup unit, data information is input through the input terminal, the identification unit identifies and classifies the data information and transmits the data information to the storage unit through the distribution unit, and the distribution unit sends an instruction to enable the backup unit to be automatically connected with the storage unit for data backup; the driving unit can be installed on a plurality of computer data memories, and the driving unit can drive the backup unit to be connected to any one of the computer data memories. The driving unit comprises a clamping groove with a clamping plate slidably connected to the inner side of the lower end, a spring is fixedly connected between the clamping plate and the clamping groove, and sliding boxes are slidably connected to the left side and the right side of the clamping groove. Data information can be automatically stored in an independent storage facility for backup.

The invention relates to the technical field of computer data storage, in particular to a data rebalancing method oriented to distributed data storage. According to the data rebalancing method for distributed data storage, a distributed storage system is provided with a plurality of data storage nodes, the balance weight value of each data storage node is calculated, and all the data storage nodes are subjected to ascending sorting according to the balance weight values; designing a first algorithm based on the plurality of sorted data storage nodes, and placing a plurality of newly generated data blocks on the plurality of data storage nodes through the first algorithm; and designing a second algorithm, and rebalancing the data blocks in the distributed storage system. The data rebalancing method is suitable for scenes with different sizes of data blocks, is also suitable for scenes with similar sizes of data blocks, has disk storage rebalancing capability, not only meets the uniformity of data storage, but also indirectly meets the uniformity of data query performance.

The present application relates to the technical field of data storage, in particular to a computer data storage method and system based on the Internet of Things, comprising the following steps: obtaining a page block write operation flow set, extracting repeated numbers and operation sequences, adjusting the buffer sequence structure, aggregating the attribution page block path, constructing the write distribution and node association relationship, and obtaining the data node write organization structure.In the present application, the priority write sequence is extracted through the page block number and operation time sequence, the page block arrangement structure in the buffer area is reconstructed, the page blocks with correlation characteristics are aggregated into continuous paths in combination with the logical attribution relationship, the centralized write flow in the logical block is established, the write distribution state is extracted through the corresponding relationship between the node identifier and the page block number, the data organization structure with the attribution boundary, path connectivity and scheduling order characteristics is generated, the local intensive degree, structure connection ability and cooperation and coordination between the cross-node paths are enhanced, and the organization of the write path and the consistency of the data distribution structure are improved.

1. Name of the product in this design: Computer Data Storage Device. 2. Purpose of this design: For storing electronic data. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention provides a network security slice data storage method and system in enterprise operation, and relates to the technical field of computer data storage and management.The method comprises the steps that a data stream generated by enterprise operation is received, the service type and priority information in the data stream are recognized, service associated data packets are aggregated into a data slice unit, and the data slice unit is stored; and adding a feature identifier containing a service feature and an expected processing path to each unit. And then obtaining a load and network connection state of the distributed storage cluster, and evaluating a storage position of each data slice unit in combination with an expected processing path and service characteristics of the characteristic identifier. The method comprises the following steps: firstly, evaluating storage positions of all units, then storing all the units to corresponding nodes according to the evaluated storage positions, establishing a distributed index directory for the data slicing units of all the storage nodes, and adjusting the classification hierarchy and the detailed degree of the index directory according to the data access frequency, so that distributed storage and efficient management of enterprise operation data can be realized.