56 results about "Cloud storage system" patented technology

The invention discloses a distributed cloud storage system for credible storage of bulk transaction data, which comprises a three-layer hybrid architecture and a core function module for cooperative work, and has the functions of credible storage, privacy protection and cross-mechanism verification of the full life cycle of the bulk transaction data. According to the system, through innovative hybrid architecture design and core technology research and development, the core goal of storing hash on a chain and storing original under the chain is achieved, it is guaranteed that data cannot be tampered in the whole life cycle, meanwhile, it is guaranteed that data sovereignty belongs to enterprises, the cross-mechanism verification efficiency is improved, the operation cost is reduced, and solid technical support is provided for bulk commodity transaction digitization.

A system and method for inspecting virtual instances in a cloud computing environment for cybersecurity threats utilizing disk cloning is presented. The method includes: selecting a virtual instance in a cloud computing environment, wherein the virtual instance includes a disk having a disk descriptor with an address in a cloud storage system; generating an instruction to clone the disk of the virtual instance, the instruction when executed causes generation of a cloned disk descriptor, the cloned disk descriptor having a data field including the address of the disk of the virtual instance; inspecting the cloned disk for a cybersecurity threat; and releasing the cloned disk in response to completing the inspection of the cloned disk.

Systems and methods include pre-processing documents in cloud storage using query embeddings, providing personalized prompts to users based on documents in cloud storage, real-time anticipation of user interest in information contained in documents in cloud storage, and providing generative answers including citation to source documents in cloud storage. The system and methods generate generative machine learning model (MLM) prompts based on document portions of documents in a cloud-based content management platform. The systems and methods use the generative MLM to generate responses to prompts, and the responses include citations to the document portions used to generate the responses in order for users to verify the responses.

To streamline volume restoration. [Solution] The device for managing the storage system includes a processor and a storage device for storing a backup management model, the backup management model includes information on the snapshot generation of a volume stored in the restore destination storage system and information on the snapshot generation of the volume stored in the cloud storage system, and the processor refers to the backup management model and selects the restore source for each snapshot generation to be used for restoring a specified generation in the restore destination storage system from the restore destination storage system and the cloud storage system.

A content distribution facilitation system is described comprising configured servers and a network interface configured to interface with a plurality of terminals in a client server relationship and optionally with a cloud-based storage system. A request from a first source for content comprising content criteria is received, the content criteria comprising content subject matter. At least a portion of the content request content criteria is transmitted to a selected content contributor. If recorded content is received from the first content contributor, the first source is provided with access to the received recorded content. The recorded content may be transmitted via one or more networks to one or more destination devices. Optionally, a voice analysis and / or facial recognition engine are utilized to determine if the recorded content is from the first content contributor.

A system includes a key service, that is configured to authenticate requests from an external manufacturing system (“EMS”), receive a request for generating a keyset, generate the keyset, send the keyset to the EMS, and send the keyset to a persistent cloud storage system, wherein an external cloud system accesses the keyset for use in secure communication with a hardware device.

The application discloses a data storage method, system and device, a storage medium and a program product, and belongs to the field of computer data processing. The method comprises the following steps: receiving distributed storage data sent by an execution node, wherein the distributed storage data is data stored by the execution node in a distributed storage manner; transferring the distributed storage data to a local disk for storage, wherein the local disk is a local storage area corresponding to the current device; in response to the local disk meeting data uploading conditions, uploading local storage data in the local disk to a cloud storage system according to a preset uploading strategy, wherein the preset uploading strategy is a strategy determined based on the average file size in the local disk; and in response to the uploading of the local storage data being completed, cleaning the local storage data from the local disk. The method achieves the effect of cooperation between local storage and the cloud storage system, and solves the problem that the large data workload cannot be effectively deployed in an offline hybrid cluster due to the fact that storage and calculation cannot be separated.

The invention provides a data integrity verification method and system oriented to an industrial cloud storage system, and the method comprises the steps: a plurality of cloud computing servers receive a secret sharing share from a fog node, and filter the secret sharing share based on additional commitment and proof; the secret sharing share is calculated based on a randomly selected signature secret key; a plurality of cloud computing servers receive the data file and execute blocking, calculate the data labels of the data blocks based on the secret sharing share, and integrate the data labels of all the data blocks after the data file is blocked to obtain a label set of the data file; the main cloud computing server sends the data file and the label set thereof to a cloud storage provider for storage; the verification comprises the following steps: the third-party auditor sends random challenge information to the cloud storage provider, and then the cloud storage provider generates an integrity proof of the data file; and the third-party auditor receives the integrity proof of the data file and checks the validity of the integrity proof to obtain an integrity verification result of the data file.

The application relates to the technical field of artificial intelligence, and discloses a double-recording examination auxiliary method and device based on artificial intelligence, equipment and a medium, which comprises the following steps: receiving a double-recording key and a double-recording abstract sent by a double-recording device, and acquiring double-recording information from a cloud storage system according to the double-recording key; cutting the double-recording information according to the double-recording abstract to obtain at least one double-recording segment, and extracting audio information in the double-recording segment; converting the audio information to obtain text information, and associating the double-recording abstract with the text information; receiving a quality inspection request sent by a control end, and sending the text information to the control end according to the quality inspection request. The application guarantees the simplification and accuracy of the text information, improves the efficiency of quality inspection personnel in checking the double-recording information and monitoring whether the on-site personnel business operation is standardized, and reduces the fatigue strength of the quality inspection personnel.

The embodiment of the invention discloses a log data query method and device, equipment, a storage medium and a program product, and the method comprises the steps: determining a target folder from a plurality of folders of a cloud storage system according to a query time range contained in a query request, and positioning to a range of a specified folder according to the query time range. Unnecessary data reading is reduced, and the query efficiency of the log data can be improved; the log data in the target folder is counted to obtain the query data volume, the corresponding target computing platform is determined according to the query data volume, the target computing platform matched with the query data volume can be determined in a targeted mode, and then computing resources of the target computing platform are called. In addition, the log data query is performed in the target folder according to the query request, the log data query does not need to be performed by writing related scripts, and the query efficiency of the log data can be further improved.

A system and method for inspecting virtual instances in a cloud computing environment for cybersecurity threats utilizing disk cloning. The method includes: selecting a virtual instance in a cloud computing environment, wherein the virtual instance includes a disk having a disk descriptor with an address in a cloud storage system; generating an instruction to clone the disk of the virtual instance, the instruction when executed causes generation of a cloned disk descriptor, the cloned disk descriptor having a data field including the address of the disk of the virtual instance; inspecting the cloned disk for a cybersecurity threat; and releasing the cloned disk in response to completing the inspection of the cloned disk.

The invention discloses a data storage method, a cloud storage system and a storage medium, and the data storage method comprises the steps: receiving to-be-stored data, and storing the to-be-stored data to a cache layer; obtaining the data size of each piece of to-be-stored data in the cache layer, determining the to-be-stored data of which the data size is lower than a preset data threshold in the cache layer to obtain small data, and determining the to-be-stored data of which the data size is not lower than the preset data threshold in the cache layer to obtain big data; aggregating the plurality of small data in the cache layer to obtain a small data aggregation file; and storing the small data aggregation file to an acceleration layer, and storing the big data to a storage layer. The read-write number of the acceleration layer can be reduced, the service life of the storage medium is prolonged, the overall read-write efficiency is improved, the characteristics of different storage media are fully utilized for classified storage of data, and storage resources are reasonably utilized.

According to one embodiment, a method for performing domain-wide authentication and authorization in a cloud-based environment can comprise receiving, from a third-party service of the cloud-based environment, a request to perform authentication and authorization of a user of the third-party service for accessing a cloud-based storage system of the cloud-based environment. A mapping of the user of the third-party service to a user account of the cloud-based storage system can be generated and one or more tokens for the user of the third-party service can in turn be generated based on the mapping of the user of the third-party service to the user account of the cloud-based storage system. The one or more tokens can provide access to services of the cloud-based storage system. The one or more tokens can be provided to the third-party service.

The application discloses a user permission management method, system, device and medium, and relates to the technical field of cloud computing. The method comprises the following steps: acquiring operation data of a target user in a cloud storage system in real time; using a pre-trained large model to predict the permission of the operation data, so as to output the required permission of the target user; monitoring the operation behavior of the target user according to the operation data, and when it is monitored that the target user has a behavior change, dynamically adjusting the required permission based on a pre-set permission adjustment mechanism, and generating a permission change record; performing security auditing on the operation data and the permission change record and generating a corresponding auditing report, so as to adjust the security policy of the cloud storage system according to the auditing report. Through the technical scheme of the application, the accuracy and flexibility of permission management are significantly improved, and the risk of data leakage is effectively reduced.

A computer-implemented method for compressed compact data storage and processing within a cloud-based environment is disclosed. In one aspect, the method for processing data signals, includes receiving a plurality of data signals corresponding to a user, the plurality of data signals includes a plurality of user raw records at corresponding time values, compressing the plurality of data signals using an incremental compression algorithm to form a single compressed iterative record, organizing the single compressed iterative record into hierarchical segments based on predefined time intervals using a waterfall data model, and storing the single compressed iterative record in a first cloud storage system.

A system for automatically collecting metrics data and other data from an oral instrument and transmitting to a cloud storage system is disclosed herein. The oral cavity device can transmit the measurement data and other data to a charging station through BLE (Bluetooth Low Energy) or other wireless communication modes, or directly transmit the measurement data and other data to a network gateway, a coordinator or a controller; the charging station, network gateway, coordinator, or controller may then transmit the data to a cloud storage system for device manufacturers, clinicians, and / or users / patients to access as needed.

Embodiments of the present application provide an access method and device of a cloud storage system, a computer readable medium and an electronic device. The method comprises: obtaining authentication information carried in an authentication request from an access device according to the received authentication request; obtaining second pre-made static token information according to device identification information in the authentication information, and authenticating first signature information in the authentication information according to the second pre-made static token information; if the authentication is passed, sending a temporary credential acquisition request to the cloud system, and obtaining a temporary access credential fed back by the cloud system according to the temporary credential acquisition request; and returning the temporary access credential to the access device, so that the access device accesses the cloud storage system in the cloud system by carrying the temporary access credential. The embodiments of the present application can be applied to the field of transportation. The scheme of the present application can prevent illegal devices from accessing the cloud storage system, improve the data security and the reliability of the cloud storage service, and reduce resource waste.

The one or more embodiments of the specification provide a carbon emission determination method and a cloud storage system, the cloud storage system comprises a plurality of cloud storage units, the cloud storage system interfaces a plurality of users, each user rents at least one cloud storage unit; in the case that the user reads and writes the rented cloud storage unit, the read-write rate of the cloud storage unit is recorded; for each cloud storage unit, based on the read-write rate of the cloud storage unit, the carbon emission generated by the cloud storage unit is determined; the carbon emission generated by the cloud storage unit includes: basic carbon emission and incremental carbon emission; the basic carbon emission is used to represent the carbon emission generated by the cloud storage unit in the case of no read-write; the size of the incremental carbon emission is proportional to the read-write rate of the cloud storage unit; for each user, based on the carbon emission generated by each cloud storage unit rented by the user, the carbon emission generated by the user is determined.

Methods, systems, and devices for data management are described. A data management system (DMS) may identify, in accordance with a data recovery operation, a set of data object versions stored in a cloud storage system and associated with a data object identifier. The DMS may verify, using a cryptographic key, whether each data object version of the set of data object versions is associated with a respective valid signature stored in the cloud storage system. A valid signature for a data object version of the set of data object versions may be generated using a timestamp associated with upload of the data object version and the data object identifier. The DMS may obtain the data object version that is associated with the respective valid signature that is generated using a most recent timestamp among one or more timestamps associated with the set of data object versions.

Methods, devices, and media for sending, retrieving, or storing medical image data are disclosed. The invention relates to a computer-implemented method for sending medical image data to a cloud storage system, wherein the method comprises the following steps: obtaining, at an edge system, medical image data and a storage request from a medical system, the storage request being for requesting storage of the medical image data, wherein the medical system and the edge system are part of a local network; storing the medical image data in an incoming cache of the edge system; sending, by the edge system, a storage response to the medical system via the local network; sending the medical image data from the incoming cache to the cloud storage system, the cloud storage system being separate from the local network, wherein the uploading to the cloud storage system is decoupled in time from the sending of the storage response.

A computer-implemented method for compressed compact data storage and processing within a cloud-based environment is disclosed. In one aspect, the method for processing data signals, includes receiving a plurality of data signals corresponding to a user, the plurality of data signals includes a plurality of user raw records at corresponding time values, compressing the plurality of data signals using an incremental compression algorithm to form a single compressed iterative record, organizing the single compressed iterative record into hierarchical segments based on predefined time intervals using a waterfall data model, and storing the single compressed iterative record in a first cloud storage system.

The application discloses a Ceph heterogeneous distributed storage system based on SDN and a read-write optimization method thereof, and first designs a cloud storage system model based on SDN technology; then classifies OSDs based on a node heterogeneous resource classification strategy; subsequently, network and load conditions are acquired in real time by using the SDN technology, and an OSD performance prediction model based on a random forest is established, so that the influence weight of a performance influence factor is obtained; finally, the read-write fitting degree of OSD is calculated by using a multi-attribute decision TOPSIS model in combination with OSD states and the influence weight, and the read-write performance of the cluster is adaptively optimized. In this way, the network state of the cluster node and the load balancing of the OSD on the node are considered, the read-write load can be adaptively concentrated on OSDs of different performance types, the load balancing of the heterogeneous OSD device is ensured, and therefore the reliability of the cluster is increased.

The invention discloses a multi-level access control and crowd search method and system based on trusted hardware, and relates to the technical field of energy power. According to the invention, a multi-level access control mechanism based on trusted hardware is constructed, so that authority isolation between different levels of data such as power generation, power transmission and power utilization and personnel is realized, and unauthorized access to core power data is prevented; the security of a query mode and an access mode is protected through a hidden search technology, and an attacker is prevented from deducing sensitive information such as a power grid operation state and load characteristics by analyzing search behaviors; dynamic authority management is used for blocking the search authority of revoked personnel to the data of the power monitoring system, so that the non-repudiation of data operation and the anonymity of user identity are ensured; mode leakage in a storage access process is eliminated through an ORAM mechanism, a cloud malicious agent is prevented from obtaining key data flow tracks such as a power equipment state and a fault record through flow analysis, and the data protection strength and the privacy guarantee capability of the energy power cloud storage system are comprehensively improved.

This invention discloses a method and system for proxy access to cloud storage based on digital certificates and virtual IPs, which can be used in user-built cloud storage systems. The method includes: establishing a platform service unit and applying for a domain name certificate to serve as the trusted root node of the entire system; establishing an encrypted communication channel between the cloud storage service unit and the platform service unit based on the domain name certificate; applying for user accounts on the platform service unit, binding them to the cloud storage service unit, and issuing cloud storage certificates; establishing an encrypted communication channel between the proxy service unit and the cloud storage service unit based on the cloud storage certificate; applying for an authorization certificate from the cloud storage service unit; creating a virtual IP and providing proxy cloud storage services to other applications based on the virtual IP, forwarding cloud storage service requests from other applications to the cloud storage service unit, and the cloud storage service unit responding after confirming permissions. This method can ensure the information security of self-built cloud storage systems and improve compatibility with network restrictions.

Techniques are disclosed for a computer system performing batch processing on graph data using an offline mirrored graph database store synchronized from an online graph database store. The computer system includes a user service that receives a batch processing request and submits a batch job creation request. A batch processing service triggers the batch job based on the request and coordinates execution. A graph execution engine retrieves input data, initiates a query to the offline mirrored graph database store, and performs computations on the retrieved graph data to generate a result set. The result set is stored in a cloud storage system for retrieval by downstream systems or services. The offline graph database enables complex graph computations, including multi-hop traversals and graph variable calculations, with relaxed latency requirements compared to the online graph database.

Aspects of the disclosure are directed to a runtime catalog for a cloud storage engine that unifies data lakes and data warehouses. The runtime catalog can expose a single universe of cloud storage tables through an endpoint for query engines for data lakes and another endpoint for query engines for data warehouses. The runtime catalog can allow the query engines for data lakes and the query engines for data warehouses to query any cloud storage table by representing data warehouse native tables in a format compatible with data lakes and representing data lake native tables in a format compatible with data warehouses.

Methods in a cloud object store facilitate strong data encryption, customer-management of object (encryption) keys, reductions in latency, globally-distributed object storage, and handling of streamed uploads. A method for encrypting objects stored in a cloud includes encrypting each object with a unique encryption (object) key. The plaintext object keys are generated in advance of uploads. The plaintext object keys can be stored in an object database in the cloud. Alternatively, the plaintext object keys can be provided to a customer's HSM, encrypted, and returned to the cloud, such that encrypted object keys, encrypted by the customer, are stored in the cloud. The cloud can alternatively encrypt the customer's object keys with a master key for the customer, which is then encrypted by the customer's HSM before being stored in the cloud. Proxies are also deployed for efficiently communicating with customer security modules.

The application provides a data recovery method and system for distributed deep learning and a readable storage medium, the method comprising the following steps: S1, collecting parameter information of a neural network model for training, and obtaining global information of data distribution to be recovered by using an erasure code; S2, using artificial intelligence to calculate a priority of recovery of training data of each category, and sorting strips where the data to be recovered is located; and S3, combining the calculated data recovery priority and the global information of the data distribution to be recovered, and constructing a parallel recovery scheme. The application establishes a weighted priority for the data to be recovered by using artificial intelligence, and combines the global information of the data block distribution obtained by using the erasure code to construct a parallel recovery scheme, so that the ability of obtaining the global information of the data by using the erasure code and the ability of recovering the partially lost data by using the artificial intelligence are combined, resource consumption is greatly reduced under acceptable training accuracy, and data reconstruction of the distributed deep learning in the cloud storage system is accelerated.

This invention discloses a secure archiving system and method based on blockchain data. The secure archiving system includes a user node U, a leader node L, a data reading node R, a data deletion node D, a trusted third party TTP, and a cloud storage system CSS. The secure archiving method includes at least four steps: archiving of historical blockchain data, authorized reading of archived data, authorized deletion of archived data, and recovery of faulty data. While retaining the functionality of the blockchain ledger, it reduces the storage pressure on the blockchain system, achieves lightweight storage for the blockchain system, and solves the problem of significant performance degradation caused by the continuous growth of ledger data over time. It also solves the problem of data bloat in the blockchain system while ensuring that the data is unforgeable and tamper-proof. At the same time, it can also realize authorized access to archived data, privacy protection, and faulty data repair.

The embodiment of the present specification provides a data processing method and a cloud storage system. The data processing method is applied to a cloud storage server in a cloud storage system. The method comprises the following steps: receiving a data processing request for target data, wherein the data processing request is sent through a data storage address corresponding to the target data; determining a unit identifier of a target storage unit and path information of the target data based on the data storage address, wherein the target storage unit is used for storing the target data, and the path information represents a storage position of the target data in the target storage unit; determining a target request interception strategy corresponding to the target storage unit from a plurality of request interception strategies based on the unit identifier; determining the to-be-intercepted path information corresponding to the target request interception strategy, and performing interception processing on the data processing request in the case that the to-be-intercepted path information is consistent with the path information.