Abstract: A data management system may support a configuration backup of a first backup system that manages backup procedures for data of a host environment that is separate from the first backup system. The data management system may transmit, to the first backup system, a request to generate the configuration backup that includes information for the one or more backup procedures managed by the first backup system. The data management system may cause the configuration backup to be stored in a separate storage location. In response to first backup system failure, the data management system may transmit, to a second backup system, a request to apply one or more configurations for the first backup system to the second backup system based on the stored configuration backup for the first backup system.

Abstract: A method for detecting a deadlock of a database management system and recovering from the deadlock includes: updating data stored in a first server and a second server; determining whether the database management system is in a deadlock state by comparing data of the first server with data of the second server; and recovering from the deadlock state by changing data of the first server or the second server so that the data of the first server and the second server are identical.

Abstract: Systems, apparatuses, methods, and computer program products for parallel processing of real-time data and accumulated data are provided. For example, a method provided herein may include determining that a computing device is affected by a fault during a first time period. The method may include receiving real-time data from the computing device via a network during a second time period. The method may include receiving accumulated data from the computing device via a network during the second time period. The method may include directing the real-time data to a real-time data processing unit and the accumulated data to an accumulated data processing unit. The method may include processing the real-time data with the real-time data processing unit and the accumulated data with the accumulated data processing unit. The method may include routing the real-time data and the accumulated data following the processing to one or more databases.

Abstract: A system, method and apparatus of memory failure prediction through image analyses using an artificial neural network. A sequence of images indicative of progress of memory failures in a region of an integrated circuit die can be generated according to a physical layout of memory cells in the region. The artificial neural network can be trained to recognize graphical features in early images in the sequence and to predict, based on the recognized graphical features, memory failures shown in subsequent images in the sequence. A computing apparatus can use the artificial neural network to analyze an input image shown current memory failures in the region and to identify one or more memory cells in the region that are likely to have subsequent memory failures.

Abstract: Novel tools and techniques are provided for implementing intelligent alert automation (“IAA”). In various embodiments, IAA receives alert/event feeds from several different alerting and ticketing systems via input Redis queues, and uses a triage system to determine whether to process the alert/event or disregard it. If so, IAA may create a flow instance, assign a unique instance ID, and place the flow instance in one of a plurality of jobs queues based on alert/event type and/or or source. An abattoir system retrieves a flow instance from one of the jobs queues (in order of the queue's priority), and processes the next node or step in the flow instance. The flow instance is placed back into the jobs queue for subsequent processing by the same or different abattoir system until no additional nodes or steps remain in the flow, at which point the flow instance is considered complete.

Abstract: Provided is a method for recovering data for artificial intelligence calculation, which is performed by one or more processors and which includes extracting, from a command queue, a descriptor associated with a target job, that is a job to be executed, of a plurality of jobs, executing at least one command associated with the extracted descriptor to execute artificial intelligence calculation associated with the target job, resetting the command queue if an error occurs while executing the artificial intelligence calculation, determining at least one descriptor to be recovered, based on tracking data associated with at least one job, and recovering the determined at least one descriptor to the reset command queue.

Abstract: A processing system for use in a vehicle comprises numerous simple processors, numerous parallel processors, an interface for connecting to a communication bus in the vehicle, and a monitoring device that is connected to the interface and each of the processors. The monitoring device is designed for redundant configuration of the simple processors and/or the parallel processors in relation to one another.

Abstract: Methods, systems, and devices for error log indication via error control information are described. For instance, a memory device may transmit, to a host device, a first signal including a set of error control bits indicating that an error log of the memory device includes information for use by the host device. The memory device may receive, from the host device in response to the first signal, a second signal including a request to retrieve the information of the error log. The memory device may transmit, to the host device in response to the second signal, a third signal including the information of the error log.

Abstract: Provided are a flashing apparatus, a booting and recovery apparatus, and an electronic device, relating to the technical field of electronics. The flashing apparatus is applied to the electronic device. The electronic device includes a booting trigger module, a recovery trigger module, a booting control module and a recovery control module.

Abstract: A microcontroller unit includes at least one core, a plurality of safety fault management units, with each safety fault management unit including circuitry to detect one or more safety faults and to output an alarm signal in response to detection of one or more safety faults. The microcontroller further includes system control units operating in parallel to the at least one core. Each of the plurality of system control units can be coupled to at least one of the safety fault management units and can include hardware circuitry to generate and output a port emergency stop (PES) signal based on the alarm signals obtained from a safety fault management unit. The microcontroller includes port circuitries coupled to ports and to the system control units. The port circuitries can selectively cause a respectively connected port to enter a non-operational electronic state in response to receiving a PES signal.

Abstract: A hardware failure prediction and avoidance system executing on a unified endpoint management platform information handling system comprising a network interface device (NID) to receive failed operational telemetries for client devices including power and software analytics, and event viewer error logs, and an error associated with a hardware type, a processor to execute a classification supervised learning algorithm on the failed operational telemetries to determine that a hardware or software configuration will likely co-occur with a future error of the hardware type, identify the hardware or software configuration as problematic, the processor to identify the problematic system configuration in a current operational telemetry by correlating the current operational telemetry with a portion of the failed operational telemetries, and the NID to transmit a recommendation to the first client device to adjust the problematic system configuration in order to avoid occurrence of the error at the first client devic

Abstract: Techniques are provided for persistent memory file system reconciliation. As part of the persistent memory file system reconciliation, high level file system metadata associated with a persistent memory file system of persistent memory is reconciled. Client access to the persistent memory file system is inaccessible until reconciliation of the high level file system metadata has completed. A first scanner is executed to traverse pages of the persistent memory in order to fix local inconsistencies associated with the pages. A local inconsistency of a first set of metadata or data of a page is fixed using a second set of metadata or data of the page. The first scanner is executed asynchronously in parallel with processing client I/O directed to the persistent memory file system.

Abstract: A method and apparatus with cosmic ray fault protection is included. A method includes obtaining cosmic ray information indicating at least one cosmic ray event, determining a soft error mitigation policy based on the cosmic ray information, accessing the soft error mitigation policy by a device, and based on the soft error mitigation policy, performing, by the device, a mitigation action that mitigates for soft errors related to the cosmic ray event.

Abstract: A copy data management system for a modern application includes a modern application module and a copy data management module. The modern application module includes a service unit, an object storage gateway, a production object storage, and a database. The service unit is configured to generate a large object, a small object, and service metadata. The object storage gateway is configured to write and read the large object and the small object in the production object storage, merge small objects into a large object, and generate object metadata. The database is configured to store the service metadata and the object metadata. The copy data management module includes a metadata processing unit and a disaster recovery object storage. The metadata processing unit is configured to back up the database. The object storage gateway is also configured to back up the production object storage to the disaster recovery object storage.

Abstract: The present disclosure relates to systems, methods, and computer-readable media for identifying anomalies of failure events on a cloud computing system and determining cross-component and cross-layer correlation between change events that occur on the cloud computing system and the failure events associated with the anomalies. In particular, this disclosure describes a system that receives telemetry related to change events and failure events across any number of computing layers of a distributed computing environment (e.g., a cloud computing system) and detects anomalies based on counts of failure events that are manifested over discrete periods of time. Based on these detected anomalies, the anomaly correlation system can determine cross-layer and cross-component correlations between selective change events and the detected anomalies of failure events.

Abstract: Embodiments of the present disclosure provide a memory test method and a device thereof, an electronic device, and a computer-readable storage medium, which relate to the field of semiconductor device testing technologies. The method is executed by a built-in self-test circuit and includes: acquiring defect information of a first memory by testing the first memory; acquiring repair information of the first memory based on the defect information of the first memory; and storing the repair information of the first memory in a second memory.

Abstract: Embodiments described herein relate to methods, systems, and non-transitory computer readable mediums storing instructions for placing an application in an external environment such as a cloud or edge environment, when it is rendered unavailable on a local environment such as a local host. The application's instance is moved after a connection test reveals that the application, related applications, and/or underlying physical computing devices hosting the applications and/or their data, do not respond to the test within an acceptable level of performance. By placing the application instances in an external environment, the application(s) can continue to provide an adequate level of service to one or more users until the application can be restored to its better function local host.

Abstract: Disclosed methods and system feature or perform operations including monitoring, within an operating system (OS) environment of an information handling system, telemetry data indicative of values for one or more hardware status parameters and generating any of one or more anomaly alerts responsive to identifying any of one or more anomalous conditions. Responsive to detecting an anomaly alert, an OS-context configuration may be determined based on the hardware status parameters monitored during a timebox associated with the anomaly alert. Responsive to detecting a reset of the information handling system, preboot operations may be performed wherein the pre-boot operations may include configuring the information handling system in accordance with the OS-context configuration and performing one or more hardware diagnostic routines while the information handling system is configured in accordance with the OS-context configuration.

Abstract: An interface circuit includes a signal processing circuit configured to process a reception signal received from a host device and a transmission signal to be transmitted to the host device. The signal processing circuit includes multiple signal processing devices and a calibration device. The calibration device is coupled to the signal processing devices and configured to sequentially calibrate a characteristic value of each signal processing device in a calibration procedure.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing distributed tracing in a computing system comprising a plurality of microservices. An embodiment operates by transmitting, from a first microservice, a request associated with a task to a second microservice. The embodiment generates distributed tracing data associated with the request, comprising: propagating trace context associated with the request between the first microservice and the second microservice; propagating the trace context associated with the request between operators within the first microservice; and propagating the trace context associated with the request between functions within the first microservice or the second microservice. The embodiment receives, from the second microservice, a response associated with the task. The embodiment then ceases, at least based on the response, generating the distributed tracing data associated with the request.