208results about "Redundant hardware error correction" patented technology

A device includes a multiple communication lanes including a first portion of lanes and a second portion of lanes, and control logic coupled to the communication lanes. The control logic is to receive an indication that a first lane of the first portion of lanes is damaged, determine a first index of the first lane of the first portion of lanes, determine a second index of a second lane of the second portion of lanes responsive to the indication that the first lane of the first portion of lanes is damaged, convert a first lane mapping of the plurality of communication lanes to a second lane mapping of the communication lanes based on the first index and the second index, and cause first communication data to be transmitted via the communication lanes based on the second lane mapping.

Methods, systems, and products for sustainable Reliability, Availability, and Serviceability (RAS) balancing based on predictive models includes predicting, based on one or more predictive models, a potential failure within a computing system, and provisioning, based on the potential failure, one or more redundant resources for failover.

Systems and methods for providing failover readiness prediction, comprise: during a training stage: selecting a first set of data from a database of historical failover data based at least in part on feature importance within the historical failover data; label encoding the first set of data; tokenizing the first set of data; converting the first set of data into a set of dense vector representations; and training a classification model using the set of dense vector representations; during a predication stage: receiving a request to predict a failover outcome for a given failover process; assessing a status of concurrent system conditions; and predicting at least one of a success probability of the failover process, or an expected time for at least one of a plurality of steps in the failover process, based at least in part on the classification model and the status of the concurrent system conditions.

Novel techniques are described for performing hierarchical key management involving an end-to-end file storage replication between different cloud infrastructure regions. The novel hierarchical key management comprises three different keys, a first security key for the source region, a session key, valid only for a session, for the transfer of data between two different regions, and a second security key for the target region. Novel techniques are also described for using different file keys for different files of a file system in each region.

Computer-implemented methods and related aspects for generating predictive output for an Automated Driving System of a vehicle are disclosed. The computer-implemented method comprises, by one or more processors of a first hardware platform of the vehicle, encoding a first sensor dataset generated by a first cluster of sensors of the vehicle using one or more first encoder layers in order to form an encoded first sensor dataset. The method further comprises, by one or more processors of a second hardware platform of the vehicle, encoding a second sensor dataset generated by a second cluster of sensors of the vehicle using one or more second encoder layers in order to form an encoded second sensor dataset. The first and second hardware platforms are separate hardware platforms and wherein each sensor of the first cluster of sensors is different from the sensors of the second cluster of sensors. The computer implemented method further comprises, by one or more processors of the first hardware platform or by one or more processors of the second hardware platform of the vehicle, fusing at least a portion of the encoded first sensor dataset and at least a portion of the encoded second sensor dataset using one or more sensor fusion layers in order to form a set of fused encoded sensor data features, and generating a predictive output based on the set of fused encoded sensor data features using one or more decoder layers. The one or more first encoder layers, the one or more second encoder layers, the one or more sensor fusion layers, and the one or more decoder layers together form an end-to-end trained neural network.

Systems and methods are provided for managing logging and telemetry data in a cloud provider network including block storage volumes (“disks”) and virtual machine instances by scanning data written to the block storage volumes by the virtual machine instances. The disk recycler system can receive configuration information to scan for, obtain, and upload data to logging and telemetry services hosted by the cloud provider network. For example, in the scenario of a virtual machine instance failure, the disk recycler system may upload leftover data from the block storage volume to the relevant logging and telemetry services to avoid gaps in data required by the services of the cloud provider network.

Methods, systems, and devices for data management are described. Techniques described herein may enable a database management system (DMS) to link databases of a failover group that spans multiple data centers across different clusters for the different datacenters. For example, a centralized control entity may indicate to the clusters in different datacenters that one or more databases in a first datacenter are in a same failover group as one or more other databases in a second datacenter. A database of the first datacenter may be a primary backup database from which a first cluster in the first datacenter may obtain transaction log backups. The first cluster of the datacenter may replicate the backups to a second cluster of a second datacenter, which may enable the second cluster to refrain from obtaining backups from a secondary backup database within the second datacenter.

This disclosure describes techniques that include implementing network-efficient data durability or data reliability coding on a network. In one example, this disclosure describes a method that includes generating a plurality of data fragments from data to enable reconstruction of the data from a subset of the plurality of data fragments; storing, across a plurality of nodes in a network, the plurality of data fragments, wherein storing the plurality of data fragments includes storing the first fragment at a first node and the second fragment at a second node; and generating, by the first node, a plurality of secondary fragments derived from the first fragment to enable reconstruction of the first fragment from a subset of the plurality of secondary fragments; and storing the plurality of secondary fragments from the first fragment across a plurality of storage devices included within the first node.

A hybrid AI cloud system includes at least one distributed node configured to execute an artificial intelligence (AI) service, and a hybrid server configured to monitor the workload of a first distributed node configured to execute the AI service, and prepare in advance at least one second distributed node configured to assist or replace the first distributed node according to the result of the monitoring. The second distributed node is selected from a previously prepared distributed node pool including distributed nodes of the hybrid AI cloud system, or from a distributed node of an external cloud system. Through this, if there is a shortage of distributed nodes capable of executing AI services in the distributed cloud, distributed nodes included in a centralized cloud can be utilized, thereby achieving the advantages of both the distributed cloud and the centralized cloud.

The application belongs to the technical field of sensitive data management and control, and particularly relates to a business sensitive data management and control system based on a block chain, wherein the system comprises an architecture definition module, a ledger segmentation design module, a sub-ledger consensus construction module, a cross-business domain data interaction module, a sensitive data node allocation module and a ledger fault tolerance module. The scheme realizes local encrypted storage of sensitive data original text and operation logs of the sub-ledger by constructing a double-layer segmented architecture of the main ledger and the sub-ledger, combining cloud network fusion technology, completing sensitivity evaluation through feature selection and a machine learning model, preferentially allocating high-frequency data to near-main-ledger nodes according to data heat, preferentially allocating new data to low-load nodes according to node load, obtaining an optimal node load allocation scheme through a genetic algorithm when there is no low-load node, realizing dynamic expansion and merging of the sub-ledger, reducing data migration cost during business domain expansion, and guaranteeing uninterrupted sensitive data access services.

The invention relates to a control device (4) for a monitoring system (2) of a motor vehicle (1), said control device comprising at least one computing unit (6, 8, 10, 60, 62) for evaluating output signals, supplied to the control device (4) and originating from a sensor (12, 14) corresponding to a function, and for controlling power electronics (40, 42, 44, 46, 48, 50) of an actuator (20, 22) corresponding to said function by means of control signals depending on the aforementioned output signals, wherein the control device (4) is designed as merely a single control device (4) of the monitoring system (2), wherein the control device (4) has a total of three FOC computing units (6, 8, 10) and is designed in such a way that, exclusively by means of said control device (4), a primary function and a secondary function of the motor vehicle (1) can be monitored during normal operation of the control device (4), in which all three FOC computing units (6, 8, 10) are functioning properly, and the aforementioned primary function can be monitored during an emergency operation of the control device (4), in which only one of the three FOC computing units (6, 8, 10) is functioning properly.

The application provides an operation core hang-up recovery method and device, electronic equipment and a storage medium, relates to the chip design and manufacturing technical field, and comprises the following steps: obtaining and sending tasks from a first task queue to an operation core, backing up the tasks to a second task queue, and marking the tasks in the second task queue as valid; in response to task execution information sent by the operation core, marking the task execution information in the second task queue as invalid; in response to hang-up recovery information, pausing the task obtaining from the first task queue, and sending the tasks marked as valid in the second task queue to the operation core; canceling the hang-up recovery information and resuming the task obtaining from the first task queue and sending the tasks to the operation core. The method and device provided by the application realize fast and efficient task distribution recovery in the case of operation core hang-up, shorten the delay from hang-up to recovery, and improve the operation efficiency and performance of the entire graphics processor.

The application relates to the technical field of distributed simulation based on containerization deployment and elasticity, and discloses a distributed simulation method and system based on containerization deployment and elasticity, which comprises the following steps: collecting real-time resource monitoring and historical load trend data of a simulation task, and combining simulation calculation complexity parameters and I / O density parameters to perform unified load evaluation, so that fine modeling of the simulation task and resource demand prediction are realized, and the accuracy of task scheduling and distribution is improved; through subtask segmentation based on the minimum executable unit and a standard containerization packaging mechanism, and in cooperation with a container arrangement platform, modular deployment of the simulation task is realized, and then concurrent execution and elastic scheduling in a multi-node environment are supported.

This application relates to apparatus and methods for writing data to memory. When data is repeated across multiple data lines, the data can be transmitted across a single line of a bus rather than driving the repeated data across all of the data lines. The data from the single data line can be provided to write amplifiers of additional data lines to provide the data from all of the data lines to the memory for writing. In some examples, error correction can be performed on data from the single data line rather than all of the data lines.

This invention belongs to the field of server upgrade management technology, specifically providing a system and method for implementing dual BMC switching upgrades. The system includes a motherboard and an I / O switching board. The motherboard has a master BMC, and the I / O switching board has a slave BMC and a path selection chip. The path selection chip is connected to a network interface and is connected to both the master and slave BMCs via a PHY chip. The slave BMC is connected to the path selection chip and is used to control the path selection of the path selection chip. The slave BMC is used to connect to the module to be upgraded. The path selection chip, controlled by the master BMC via I2C and Heartbeat, selects whether network control belongs to the master or slave BMC. Thus, when the GPU needs to be managed and upgraded in S5 state, network control can be switched from the master BMC to the slave BMC, thereby completing the switching of the slave BMC's management upgrade path.

The present invention provides a method for controlling a flash memory module. The method includes the steps of: after the flash memory module is powered on, determining whether the flash memory module encountered an abnormal power failure before the flash memory module is powered on; if the flash memory module encounters the abnormal power failure before the flash memory module is powered on, determining a last super block written by the flash memory module before powering on, where the super block includes multiple first blocks; determining a last rewritten page of the super block; determining a check range of the super block according to the last written page of the super block; determining a data weak region of the super block by reading the pages of the check range; and moving data in the weak data region to other regions of the super block or to another super block.

This invention provides a data management system and program that allows data processing to be requested from external devices connected to a server, even when the information processing system cannot connect to the virtual system corresponding to that information processing system. [Solution] The data management system comprises multiple information processing systems and a server that constructs multiple virtual systems corresponding to each of the multiple information processing systems. The processors of the multiple information processing systems can request processing from external devices connected to the server via the virtual system corresponding to their own system. If they cannot connect to the virtual system corresponding to their own system, they connect to the server via another information processing system and request processing from external devices connected to the server.

The examples described in this document relate to a network interface device. In some examples, the network interface device includes: a network interface, a direct memory access (DMA) circuitry, a host interface, memory, one or more processors, and a circuitry designed to: based on an operating configuration specifying standalone operation, cause the network interface device to operate in standalone mode to run one or more applications; and based on an operating configuration specifying companion operation, cause the network interface device to operate in companion mode to provide at least one host system with access to one or more hardware resources that the network interface device can access.

A node deployment method includes deploying a first node cluster in a first region, the first node cluster including M first primary nodes, and deploying a second node cluster in a second region, the second node cluster including at least one first secondary node corresponding to the first primary node. Mis a positive integer that ensures that a number of primary nodes in other node clusters meets deployment condition when the first node cluster fails. Meeting the deployment condition includes that the number of primary nodes in the other node clusters is sufficient to determine switching the first primary node to the first secondary node. The first region and the second region are physically separated.

The application provides a database cluster management method, device, equipment, storage medium and product, which are applied to a database cluster. The database cluster includes an initial master library node and at least one standby library node. The method includes the following steps: detecting state information of the initial master library node; when detecting that the initial master library node fails, promoting one standby library node to a new master library node to take over the initial master library node; during the period when the new master library node takes over the initial master library node, detecting the state information of the initial master library node, and when detecting that the initial master library node resumes operation, identifying the initial master library node as a fault recovery node; performing role isolation control on the fault recovery node; the role isolation control includes modifying role configuration information of the fault recovery node. By detecting the initial master library node when it is unavailable to when it resumes operation, performing role isolation control on the initial master library node, and prohibiting the initial master library node from operating as a master library node, data conflicts and automatic isolation caused by double master operation are avoided.

The disclosure describes systems, devices, and methods for replicating metadata in data storage environments. In an example embodiment, a method for operating a controller in a data storage environment to provide cross-shelf data replication is provided. In performing the method, the controller generates metadata for an input / output (I / O) request upon receiving the I / O request. The controller identifies a primary location at which to store the metadata and identifies a secondary location at which to store a replicated version of the metadata, then stores the metadata at the primary location and the replicated version at the secondary location. The primary and secondary locations correspond to storage devices in the data storage environment located on different physical shelves or enclosures, such that the metadata is stored across multiple drive shelves for redundancy and recovery purposes.

A data storage apparatus includes a nonvolatile memory apparatus and a controller. The controller is configured to set a first threshold time associated with a power loss protection operation when the data storage apparatus enters a power loss protection mode and to back up debug data upon reaching the first threshold time after the external power loss.

This invention discloses a method for fault prediction and resource pre-allocation optimization in disaster recovery systems, relating to the field of disaster recovery systems. The method includes: real-time collection of operational performance data, historical fault sequences, and related business pressure indicators of primary and backup nodes in the disaster recovery system; simultaneously, collection of operation response logs and operation completion quality data from relevant operations and maintenance teams during historical disaster recovery switchover processes. By introducing an advanced prediction and flexible pre-allocation mechanism at the nascent stage of performance degradation, this invention can initiate precise resource preparation earlier than traditional fault thresholds, effectively extending the system intervention window and alleviating the pressure of insufficient switchover preparation time. Through a resource pre-collateralization mechanism, it dynamically allocates idle resources, significantly improving the overall resource pool utilization efficiency while ensuring the reliability of high-priority services, thus resolving the contradiction between resource idleness and temporary shortages.

This invention relates to a database rate limiting method, apparatus, computer device, and storage medium. It acquires the number of queries per second (MS / MS) of the primary database in a database cluster within a preset sampling period, as well as the operating status of read-only nodes. Based on the operating status, it determines whether all read-only nodes are in a fault state. If so, and the MS / MS query count exceeds a preset threshold, a rate limiting strategy is executed for the primary database. The rate limiting strategy for the primary database is lifted when at least one read-only node is detected to have recovered from a fault state. Therefore, rate limiting control can be performed based on the current operating status of read-only nodes and the MS / MS query count, ensuring business continuity in fault scenarios while avoiding overload and resource exhaustion caused by a large influx of read requests into the primary database. Simultaneously, it achieves adaptive protection and recovery of the primary database load, improving the stability and availability of the database cluster in abnormal scenarios.

The present application relates to the technical field of computers. Disclosed are a cloud platform resource scheduling method and apparatus, and a device, a medium and a product. The method is applied to a data center comprising several power systems, wherein each power system comprises a host machine, the data center comprises several host groups, and each host group comprises cloud hosts. The method comprises: identifying an access host group, and determining the type of the access host group, so as to create a target cloud host (S101); when the access host group is a power anti-affinity host group, acquiring a target power system in a data center, and storing in a candidate list a host machine in the target power system, wherein the target power system is a power system in which the target cloud host can be placed (S102); and for each host machine in the candidate list, acquiring a first score and a second score, so as to determine a power system bound to the target cloud host, wherein the first score is a score for the target power system, and the second score is a score for the host machine in the target power system (S103).

Methods, apparatus, systems, and articles of manufacture are disclosed for state convergence associated with high availability application migration in a virtualized environment. An example apparatus includes at least one memory, machine readable instructions, and processor circuitry to at least one of execute or instantiate the machine readable instructions to identify a high availability slot in a virtual server rack including a first virtual machine (VM) associated with first configuration data that identifies the first VM as a protected VM, transmit second configuration data to a second VM that identifies the first VM as a nonprotected VM and the second VM as the protected VM, after a determination that a network partition is identified based on a failure of a request to retrieve the second configuration data from the second VM, and transfer data from the first VM to the second VM after causing the removal of the network partition.

The present application belongs to the technical field of aircraft design, and particularly relates to an avionics Ethernet-based bus architecture for an avionics system of a trainer aircraft. The bus architecture comprises a core processor and devices / subsystems, wherein the devices / subsystems comprise a video processor, a display end, a data loading recorder and an electromechanical management computing system; the video processor, the display end, the data loading recorder and the electromechanical management computing system are all connected to the core processor; the core processor comprises a first core processor and a second core processor, the first core processor and the second core processor are hot standbys for each other, and the first core processor and the second core processor are both interconnected to the devices / subsystems by means of a bus; and when an error occurs in either core processor, the core processor in a normal state can continue operating, without affecting normal task processes of the devices / subsystems, and without propagating the error throughout the entire combat flight software, thereby ensuring the normal operation of the avionics system.