437 results about "Transient storage" patented technology

The invention relates to the technical field of data transmission, and discloses a multi-key-based industrial internet security management method and system, and the method comprises the steps: collecting to-be-encrypted storage data, carrying out the analysis, obtaining an importance score, and determining an encryption mode; when composite encryption is carried out, the resource utilization rate is collected to determine a composite encryption scheme, and whether time sequence chaos temporary storage is carried out on the to-be-encrypted storage data or not is judged; the encrypted data and the vacancy rate after encryption are collected, a storage target sequence of the encrypted data is determined, and a similar voting value of each database in the encrypted data and the storage target sequence is obtained to determine a target database; and calculating a first hash value and a second hash value of the encrypted data, comparing the hash values, and verifying the integrity of the stored data. According to the method, the encryption failure and system delay risks are reduced, and the storage efficiency of the encrypted data under the resource shortage condition is improved.

The invention belongs to the technical field of log monitoring, and particularly relates to a real-time log monitoring alarm method, system and equipment based on event driving, and the method comprises the steps: dynamically obtaining a log file path needing to be monitored, monitoring a log file on a server, and sending incremental log data to a specified Topic of Kafka in real time; through an event-driven architecture, using a Kafka consumer group to consume log data in Kafka in real time, and using a kset data type of Redis to temporarily store the log data; performing real-time processing on the log data in the Redis; comparing the statistical result with a preset threshold value, and if the statistical result reaches the preset threshold value, sending alarm information according to a configured notification mode and a notifier; and storing the monitoring result in a relational database, and displaying the monitoring big disk through a visual page. And an event-driven architecture is adopted, so that the data processing flow is more efficient, and the overall performance and expandability of the system are improved.

In a storage device including a plurality of controllers for controlling data reading and writing operations with respect to at least one host computer, each of the controllers includes: a cache region to which a plurality of management units capable of temporarily storing the data are allocated in accordance with the data reading and writing operations; and a control unit for controlling the data reading and writing operations, and when an error occurs, the control unit determines whether or not an occurrence position of the error is in the cache region, and when it is determined that the occurrence position is in the cache region, the control unit excludes, among the plural management units, a specific management unit that contains the occurrence position from an allocation target in the cache region, to control the data reading and writing operations using remaining management units in the plural management units.

The invention discloses a flight parameter loading method based on software internal data acquisition, belongs to the technical field of airborne avionics, and aims at the problems of limited data acquisition flexibility, low resource utilization efficiency and difficulty in problem positioning. A detailed parameter recording instruction is set on a TIDE software interface, the TIDE software encapsulates the instruction into a request packet and sends the request packet to the FDR software, the FDR software verifies and analyzes the request packet and stores the request packet in a temporary storage area, the FDR software reencapsulates request information into a request packet conforming to an IVOS software receiving format and forwards the request packet to the IVOS software, and the IVOS software receives the request packet and sends the request packet to the TIDE software. Carrying out integrity verification on the data packet; through cooperative work of the IVOS software module, the FDR software module and the TIDE software module, key data related to research and development tests can be accurately collected, research and development personnel do not need to blindly find useful information in mass data, and the data processing and analysis efficiency is greatly improved.

The invention provides a cross-platform collaborative loading method for CAD drawings, and relates to the technical field of data processing.The cross-platform collaborative loading method comprises the steps that rasterization layering processing is conducted on an original CAD file on a central platform, and a multi-stage grid tile set is obtained; storing to a temporary storage unit by adopting a pyramid hierarchical index; acquiring an updated view state by monitoring a user interaction event in real time, and comparing the updated view state with the original CAD file to obtain view parameters; extracting a target grid tile set; converting into a neutral exchange format set; according to the format support features, scheduling the container format conversion service, and compatibly distributing the container format conversion service to M edge platforms; and performing synchronous rendering replacement of the cross-platform tile file according to the M role permissions. The technical problems that in the prior art, due to the fact that effective CAD file format compatibility processing is lacked, tedious data conversion needs to be carried out among all platforms, and then the accuracy and reliability of data are reduced are solved.

A method performed by one or more processors comprises displaying code, receiving user selection of a portion of code, determining one or more settable data items, generating a template, displaying the template, receiving a user input value for the settable data items by the template, and executing the code with each of the settable data items set to the received user input value. A data processing pipeline is configured to pass a data item to a first transformer to provide first transformed data, store the first transformed data in a temporary memory, write the first transformed data to the data storage system, and pass the transformed data from the temporary memory to a second transformer.

The invention provides a hot plug control system and method, electronic equipment and a storage medium, a hardware detection module obtains target slot state information through a target controller, and the target slot state information comprises in-place state information of target equipment and port information of an integrated port where the target equipment is located; the information management module adopts a multi-level storage architecture to store the target slot state information acquired by the hardware detection module, the multi-level storage architecture comprises a temporary storage layer and a persistent storage layer, the port information is stored in the temporary storage layer, and the in-place state information is registered in the persistent storage layer; and the control execution module dynamically configures a hot plug controller register corresponding to the integrated port based on the preset interface, and enables or disables a hot plug controller function of the integrated port. Compared with the prior art, the method has the advantages that the SHPC register is dynamically configured through the preset interface, and differential control over the port-level hot plug function is achieved.

In a storage device including a plurality of controllers for controlling data reading and writing operations with respect to at least one host computer, each of the controllers includes: a cache region to which a plurality of management units capable of temporarily storing the data are allocated in accordance with the data reading and writing operations; and a control unit for controlling the data reading and writing operations, and when an error occurs, the control unit determines whether or not an occurrence position of the error is in the cache region, and when it is determined that the occurrence position is in the cache region, the control unit excludes, among the plural management units, a specific management unit that contains the occurrence position from an allocation target in the cache region, to control the data reading and writing operations using remaining management units in the plural management units.

A network device includes multiple ports, a Shared Buffer (SB) and a SB controller. The ports to connect to a communication network. The SB to temporarily store packets received from the communication network via the ports, the packets belonging to multiple flows. The SB controller to allocate one or more flow-specific storage regions in the SB, a given flow-specific storage region being allocated to store the packets that (i) belong to respective one or more of the flows and (ii) are to be transmitted via a respective egress queue. In response to detecting that an occupancy level in the given flow-specific storage region exceeds a specified occupancy threshold, the SB controller to report the flows in the given flow-specific storage region as congested.

Systems and methods for making use of non-persistent storage as the journaling storage media for a virtual storage system are provided. According to one embodiment, in order to meet the needs of Extreme Low Latency Workloads while also seeking to provide predictable performance and the lowest possible latency, ephemeral storage of the virtual storage system is used to preserve state information (e.g., in the form of boot arguments and an operation log journal) across a host failure recovery scenario in which the virtual storage system is expected to be redeployed within a compute instance brought up by a cloud environment of a hyperscaler on the same host, thereby providing improved data durability (fewer host failure scenarios that result in lost data) as compared to the use of ephemeral memory of the compute instance and lower write latency than the use of persistent storage provided by the cloud environment.

The invention discloses a large model real-time training system based on a human brain mechanism, and the system comprises an information input module which is used for receiving and processing various types of data, and carrying out the standardization processing; the temporary storage module is used for temporarily storing data for a certain time length; the importance evaluation module is used for evaluating the importance of the input data in the temporary storage module in real time; the memory classification storage module is used for classifying and storing the data into short-term, medium-term and long-term memories according to the importance of the data; the real-time fine tuning or training module is used for performing small-batch real-time training and updating model parameters by adopting a LoRA technology; and the model updating control module is used for monitoring the performance of the model in real time and automatically rolling back when abnormity occurs. According to the large model real-time training system based on the human brain mechanism, through a real-time fine tuning or training mechanism, the response speed and accuracy of the large model are remarkably improved, resource consumption is reduced, and meanwhile, the model can better adapt to a dynamic environment through an introduced memory and forgetting mechanism.

Provided is a chiplet including an interconnect module for connecting to another chiplet, a bus interface for connecting to at least one functional module in the chiplet, and a save and forward module connected to the interconnect module and the bus interface, in which the save and forward module includes a slave port that receives a transaction from one of the interconnect module or the bus interface, a data buffer that temporarily stores at least a portion of the transaction, and a master port that transmits the transaction stored in the data buffer to the other one of the interconnect module or the bus interface, and the transaction is divided into predetermined units and transmitted.

The invention discloses an evaluation method of a high-speed link system, an electronic device and a non-transient storage medium, relates to the technical field of high-speed electronic interconnection, and provides a method for setting a cutting plane at the geometric height center of an electrical connection structure as a boundary position of sub-link simulation and cascade. Impedance discontinuity and parasitic effect actually existing in the structure can be completely incorporated into simulation evaluation, the defect that a traditional segmented cascade method cannot reflect actual electromagnetic behaviors of the interconnection structure is overcome, simulation accuracy is improved, modeling efficiency and engineering practicability are taken into consideration, and the method is suitable for large-scale popularization and application. The method can be widely applied to performance evaluation and optimization design of various high-speed packaging interconnection systems.

The invention provides a data writing and backup method for cloud host block storage and corresponding equipment. According to the scheme, during data writing, a newly-created temporary storage volume and a corresponding temporary IO bitmap are utilized, and when data overwriting occurs to an IO data block for the first time, the data overwriting time is shortened; and if not, copying the original data in the IO data block to a second IO data block on the temporary storage volume, and then writing new data to be written into the first IO data block on the source disk volume. Therefore, during backup, new data can be written into the IO data block without waiting for backup completion, and original data required by backup can be found in the temporary storage volume even if CBW operation is not triggered, so that backup can be correctly completed under the condition of not influencing IO performance, the influence of a backup task on the IO performance of a cloud host service in a push mode is avoided, and the backup efficiency of the cloud host service is improved. And meanwhile, the support for other storage formats in a pull mode is made up, and the problem that the service IO performance jitters violently is greatly relieved.

A method for obtaining boot logs is provided. The method includes: determining an operating state of a target device, where the operating state includes: a normal operation state and an abnormal operation state; and in response to the operating state being the normal operation state, obtaining boot logs from a first target memory device in a BMC system of the target device, where the first target memory device is a transitory memory device, and the boot log is all logs of the target device in a boot process; or in response to the operating state being the abnormal operation state, obtaining the boot logs from a second target memory device in the target device, where the second target memory device is a memory device in the target device. An apparatus for obtaining boot logs and a method for transferring boot logs are further provided.

The invention relates to the technical field of data storage, and discloses a storage management method and system based on data encryption, and the method comprises the steps: obtaining a model sample set, building a feature thermodynamic diagram based on the model sample set, determining a key feature cluster based on the feature thermodynamic diagram, carrying out the decoupling of the key feature cluster according to an auto-encoder, determining a model data set, and storing the model data set in a database. To-be-stored classification data are determined based on a multi-head self-attention model, each piece of to-be-stored classification data is layered based on analytic hierarchy process, a judgment matrix is constructed, and corresponding encryption strategies are adopted for all the to-be-stored classification data based on a data comprehensive score to determine encrypted data. The temporarily stored encrypted data is moved to the target sub-memory according to the data verification result, the backup mode of the target sub-memory is determined based on the storage occupancy rate, whether the backup mode is adjusted or not is judged based on the data retrieval condition, and the stability and reliability of data storage management are ensured.

The invention provides a firmware management method and system, a storage medium and a program product. The method comprises the following steps: marking a firmware exclusive analysis class in advance through a (at) Firmware Type custom annotation, and defining a multi-product line verification rule by adopting a configuration file in advance; receiving a firmware uploading request, creating a corresponding asynchronous processing task, and temporarily storing a corresponding firmware file to the temporary storage path; obtaining a matched firmware analysis rule in the central rule base, and instantiating a corresponding (at) Firmware Type firmware exclusive analysis class to obtain analyzed firmware data; sequentially executing version preprocessing, dynamic rule matching and version verification on the analyzed firmware data according to a multi-product-line version verification rule; the firmware passing the version verification is intelligently stored; and cleaning the temporary file, and executing physical deletion on the firmware file with the reference return to zero stored in the formal storage path. By means of the technical scheme, the problems that an existing analysis rule is rigid, rule modification is tedious, and the storage utilization rate is low are solved.

A system (1) for asymmetrical cryptography, comprising a device (10) and a network storage (30), wherein the device is communicatively connected to the network storage, wherein the network storage is configured to store a private key, wherein the device is configured to retrieve the private key from the network storage to perform a cryptographic operation using the private key in a secure execution environment (12) of the device, and wherein the secure execution environment is configured to only temporarily store the private key for the cryptographic operation.

A storage device includes one or more ports that form an electrical connection with an external device, one or more physical functions including physical resources, and exposed through the one or more ports to communicate with the external device, a storage controller that controls an operation of the storage device, and communicates with the external device through the one or more ports and the one or more physical functions, nonvolatile memories controlled by the storage controller, and a first buffer memory controlled by the storage controller. When the storage device is accessed by the external device, the first buffer memory is used by the one or more ports and the one or more physical functions to temporarily store data for the external device.

Disclosed herein are methods, systems, and computer-readable media for interacting with a language model using custom instructions. In one embodiment a method includes receiving, through an interface, custom instructions, the custom instructions comprising at least one of personal information or a response type preference, storing the custom instructions temporarily within a session specific cache, in response to a trigger event, adding the custom instructions to a system message associated with the language model, the system message being a prompt modifier to the language model, in response to receiving a prompt, retrieving the custom instructions from the session specific cache, determining whether the custom instructions are relevant to the prompt, and in response to determining the custom instructions are relevant to the prompt, generating a response to the prompt based on the custom instructions.

A system for autonomous compliance with legal regulations in smart contracts; the system includes: a regulatory data collection unit comprising a network interface controller physically connected to an external communications port, a hardware-based public key infrastructure circuit configured to validate digital certificates of regulatory servers, and a direct memory access controller configured to transfer authenticated regulatory update packets from the network interface controller to a volatile buffer memory without processor intervention; a Compliance Code Conversion Unit with a hardware lexicon scanner implemented as a finite state machine and embedded in reconfigurable FPGA logic blocks, a microcontroller executing a hardware-based lexical analysis pipeline stored in firmware registers, and a translation cache memory configured to temporarily store tokenized compliance rules before writing them to a non-volatile instruction memory; a policy evaluation and enforcement unit comprising a transaction verification processor connected to a secure enclave memory, a hardware comparator circuit configured to compare transaction parameters with compliance thresholds stored in the secure enclave memory, and a logic gate circuit configured to generate execution gate signals that selectively allow, block, or modify smart contract execution signals transmitted to a blockchain execution processor; and an audit logging unit with a cryptographic hashing circuit configured to generate block hashes of enforcement records, a timestamp oscillator configured to generate temporal signatures of compliance enforcement actions, and a Merkle tree generation circuit configured to create tamper-proof hierarchical hash structures, with the enforcement records being passed to a decentralized storage interface for anchoring in the chain or distributed ledger.

Methods, systems, and devices for data management are described. A data management system (DMS) may provide backup and recovery services for customer computing systems or databases. The DMS may implement an active / passive partition scheme to enable reception of log files in a push manner and avoid frequent building and teardown of the stack to back up the database. The DMS may implement two storage partitions which alternate between an active and passive state. Received log files may be stored temporarily in a first storage partition in the active state. Once the first storage partition is transitioned to the passive state, the DMS may capture a snapshot of the storage partition and may store the snapshot. When the first storage partition is transitioned to the passive state, the second storage partition may be transitioned to the active state so that the DMS may continue to receive log files.

A method is described for inspecting data flows within a cloud-based gateway. The method involves receiving a data flow containing data packets at the gateway and subjecting the data packets to analysis using one or more inspection services to identify a threat signature. Upon detection of the threat signature, the method includes capturing the data packets marked with the threat signature in a temporary storage, specifically, a packet capture file within the gateway. Subsequently, the data packets bearing the detected threat signature in the temporary storage are transmitted to a persistent cloud storage. The temporary storage is purged of any remaining data packets unrelated to the threat signature, ensuring that data packets associated with the identified threat signature are preserved in the persistent cloud storage. The stored data packets are formatted in any format, including a HAR or PCAP format within the persistent cloud storage.

Systems and methods for flushing an operation log journal to both ephemeral storage and persistent storage during a shutdown sequence of a virtual storage system to minimize data-loss scenarios are provided. According to one embodiment, the shutdown or reboot scenarios that result in loss of data are minimized by using persistent storage as a backup to ephemeral storage when the scenario results in rehosting of virtual storage system. For example, responsive to an event indicative of an imminent shutdown or reboot of the virtual storage system, vNVRAM memory may be flushed to both ephemeral storage and persistent storage (e.g., a boot disk). In this manner, when the virtual storage system is rehosted after an unplanned shutdown or reboot resulting from an unrecoverable host error (other than an unrecoverable hardware failure), the operation log journal may be recovered from persistent storage to facilitate vNVRAM replay and avoid data loss.

A storage system includes a controller and a network interface device connected to the controller. The network interface device receives an access request from a host, converts the access request into an access request interpretable by the controller, and issues the access request to the controller. In processing in response to a data writing request from the host, the network interface transmits a message for an instruction to start transmission of writing target data to the host, and then allocates a buffer that temporarily stores writing target data, stores the writing target data received from the host in the buffer, and transfers the writing target data stored in the buffer to the controller.

In various embodiments, a method for page cache management is described. The method can include: identifying a storage device fault associated with a fault-resilient storage device; determining that a first region associated with the fault-resilient storage device comprises an inaccessible space and that a second region associated with the fault-resilient storage device comprises an accessible space; identifying a read command at the second storage device for the data and determine, based on the read command, first data requested by a read operation from a local memory of the second storage device; determining, based on the read command, second data requested by the read operation from the second region; retrieving the second data from the second region; and scheduling a transmission of the second data from the fault-resilient storage device to the second storage device.

An improved flushing technique controls a draining speed of data from a temporary storage tier to a backend storage tier of a node so that draining logic does not overwhelm an input / output (I / O) workload that is serviced by the storage tiers. Illustratively, the temporary storage tier is a persistent write buffer embodied as an operations log (oplog) and the backend storage tier is persistent physical disk storage embodied as an extent store. The technique improves an oplog flushing algorithm by enabling control of the oplog draining speed (rate) to provide consistent performance when the I / O workload (e.g., a primary ingest I / O stream) is serviced by the extent store and / or oplog during one or more states (e.g., static inertia state, idle state and rebuild state) of the oplog.

Disclosed herein are methods, systems, and computer-readable media for interacting with a language model using custom instructions. In one embodiment a method includes receiving, through an interface, custom instructions, the custom instructions comprising at least one of personal information or a response type preference, storing the custom instructions temporarily within a session specific cache, in response to a trigger event, adding the custom instructions to a system message associated with the language model, the system message being a prompt modifier to the language model, in response to receiving a prompt, retrieving the custom instructions from the session specific cache, determining whether the custom instructions are relevant to the prompt, and in response to determining the custom instructions are relevant to the prompt, generating a response to the prompt based on the custom instructions.

The present invention relates to the technical field of data processing, and particularly relates to a method and system for processing multi-source heterogeneous data. The method includes: collecting data from different target systems and adding identification tags corresponding to the target systems to each piece of data; constructing multiple real-time pipelines parallel to the ETL path to process the collected data, writing the data with parsing failures into an error data area, and generating warning messages; writing the collected data into a temporary storage area after removing the data with parsing failures; writing the output of the real-time data processing system and / or the output of the ETL path into a data warehouse; creating a visual dynamic report using the data in the data warehouse, analyzing and predicting the dynamic report data through a pre-trained machine learning model, and writing the prediction results into the dynamic report to predict inventory requirements and identify supplier risks.

An apparatus is provided comprising a buffer in direct memory access communication with a network interface to receive data packets comprising data payload portions containing data in a stream of time-synchronous media, a buffer to temporarily store a plurality of time-synchronous media records extracted from the data payload portions, wherein respective ones of the plurality of time-synchronous media records is associated with a respective media channel, a data router circuit to read one of the plurality of time-synchronous media records from the buffer route that time-synchronous media record to a media interface, and a buffer monitor circuit to monitor a ratio of stored records and read records and to trigger a processor interrupt in the event of a buffer underflow or buffer overflow.