Abstract: A fault-tolerant computer system includes a plurality of processors configured to simultaneously execute identical sets of processor-executable instructions, each of the plurality of processors containing a processor core including one or more registers and a local memory, an arbiter configured to read each of the registers of the plurality of processors, detect incorrect register values, and overwrite the registers containing the incorrect register values with corrected register values, and a memory scrubber configured to read each address of the local memories of the plurality of processors, detect incorrect memory values, and overwrite addresses containing the incorrect memory values with corrected memory values. In various embodiments, the computer system may be implemented using one or more field programmable gate arrays (FPGAs).

Abstract: During system initialization, each data buffer device and/or memory device on a memory module is configured with a unique (at least to the module) device identification number. In order to access a single device (rather than multiple buffers and/or memory devices), a target identification number is written to all of the devices using a command bus connected to all of the data buffer devices or memory devices, respectively. The devices whose respective device identification numbers do not match the target identification number are configured to ignore future command bus transactions (at least until the debug mode is turned off.) The selected device that is configured with a device identification number matching the target identification number is configured to respond to command bus transactions.

Abstract: Techniques described herein relate to a method for managing a distributed multi-tiered computing (DMC) environment. The method includes obtaining, by a local controller associated with a DMC domain, a weighted rank order of causal services associated with a service impairment; obtaining contextual information associated with the weighted rank order of causal services; identifying top causal services based on the weighted rank order of causal services; generating, using a causal symbolic engine, a ranked order of top root causes based on the top causal services and the contextual information; selecting remediation profiles associated with the top root causes; executing remediation profiles in ranked order of the top root causes; making a determination that the remediation profiles were successful; and in response to the determination: logging the service impairment and notifying a user associated with the service impairment.

Abstract: Techniques are disclosed relating to automatically resolving an error in a user interaction with a user page without the user having to disengage from the user page to resolve the error. A monitoring agent may interface with the user page. The monitoring agent may provide an error signal to an error resolution module in response to detecting an error in the user interaction with the user page. The error resolution module may determine a causal factor for the error based on the error signal and contextual data at the time of the error. A resolution flow may be determined based on the causal factor. The resolution flow may be implemented by the monitoring agent contextually within the user page to resolve the error without the user disengaging from the user page.

Abstract: A method may include detecting, by a computing device based on a problem signature, that a system has experienced a problem that is associated with the problem signature, wherein the problem signature comprises a specification of a pattern of events indicative of the particular problem experienced by at least one other system; determining that the particular problem violates an operational policy of the system; and deploying, without user intervention, one or more corrective measures that modify the system to resolve the problem.

Abstract: A USB integrated circuit (IC), a testing platform and an operating method for USB integrated circuit are provided. The USB integrated circuit includes a USB port physical layer (PHY) circuit, a first lane adapter, a second lane adapter, a routing circuit, and a USB transport layer circuit. The USB PHY circuit is configured to transmit a differential signal between the USB integrated circuit and an outside device. When the USB integrated circuit operates in a testing mode, the routing circuit electrically connects the first lane adapter to the USB PHY circuit. When the USB integrated circuit operates in a working mode, the routing circuit electrically connects the second lane adapter to the USB PHY circuit. The USB transport layer circuit is coupled to the first lane adapter and the second lane adapter.

Abstract: A computing system may determine that a change has occurred in a software application or a document object model associated with a software application. The computing system may obtain a current copy of a document object model (DOM) associated with the application and a current screenshot of a screen displaying the application (e.g., in response to determining that the change in the DOM has occurred). If the current copy of the DOM is determined to be similar to the screenshot, the computing system may save storage space by storing the current copy of the DOM and discarding the screenshot. The computing system may store the current copy of the DOM in a memory buffer. The computing system may send the DOM copies or screenshots stored in the memory buffer to the monitoring system, for example, if an error in the application is detected.

Abstract: A method for processing data exactly once using transactional stream writes includes receiving, from a client, a batch of data blocks for storage on memory hardware in communication with the data processing hardware. The batch of data blocks is associated with a corresponding sequence number and represents a number of rows of a table stored on the memory hardware. The method also includes partitioning the batch of data blocks into a plurality of sub-batches of data blocks. For each sub-batch of data blocks, the method further includes assigning the sub-batch of data blocks to a buffered stream; writing, using the assigned buffered stream, the sub-batch of data blocks to the memory hardware; updating a storage log with an intent to commit the sub-batch of data blocks using the assigned buffered stream; and committing the sub-batch of data blocks to the memory hardware.

Abstract: Recovery of a container storage provider, including: storing, within a first database, configuration information related to the container storage provider; storing, within a second database, the configuration information; and responsive to detecting that one or more components associated with the container storage provider have become unavailable, creating a replacement component using configuration information contained in the second database.

Abstract: Examples include aggregating logs, where each of the logs is associated with a workflow instance. Each log includes information indicative of an event occurring during the workflow instance. Further, examples include assigning, based on user intent of the workflow instance, a workflow name to each log, where the user intent is indicative of an outcome of execution of the workflow instance and assigning an instance identifier to each log, where the instance identifier corresponds to the workflow instance. Further, identifying a subset of the plurality of logs having an identical workflow name and an identical instance identifier, associating a tracking identifier to the subset, and creating an index of processed logs, wherein each processed log in the index includes the tracking identifier. Further, analyzing the index of processed logs based on a set of rules and identifying, based on the analysis, an error in execution of each the workflow instance.

Abstract: In a storage system that implements RAID (D+P) protection groups a drive subset initially has (D+P) drives plus a spare drive with (D+P) splits. Spare splits are distributed with drive index and split index adjacency such that no single drive or split index contains multiple spare splits. When the drive subset is incremented by one drive a group of selected splits are relocated to the new drive based on drive index and split index adjacency such that no single drive or split index contains multiple members of a new protection group. If one of the drives is failing or fails, then an adjusted spare split index value is calculated for each protection group member on that drive so that the protection group members are rebuilt or relocated without placing more than one member of any protection group on a single drive. Adjusted spare split index values may be calculated in steps using the data split indices in ascending order and the largest drive indices in descending order.

Abstract: Memory devices and systems with post-packaging master die selection, and associated methods, are disclosed herein. In one embodiment, a memory device includes a plurality of memory dies. Each memory die of the plurality includes a command/address decoder. The command/address decoders are configured to receive command and address signals from external contacts of the memory device. The command/address decoders are also configured, when enabled, to decode the command and address signals and transmit the decoded command and address signals to every other memory die of the plurality. Each memory die further includes circuitry configured to enable, or disable, or both individual command/address decoders of the plurality of memory dies. In some embodiments, the circuitry can enable a command/address decoder of a memory die of the plurality after the plurality of memory dies are packaged into a memory device.

Abstract: Systems, methods and media are directed to automatically generating a recommendation. Data describing a configuration of a production infrastructure is received, the production infrastructure running the system operating in the production environment. One or more metrics data values indicative of a performance of the system operating in the production environment is retrieved. Expected performance values of the system are received. An augmented decisioning engine compares the metrics data values with the expected performance values. The augmented decisioning engine is trained to provide a recommended configuration of the production infrastructure. Based on the comparing, the augmented decisioning engine is trained to improve subsequent recommendations of configuration of the production infrastructure through a feedback process.

Abstract: A device may receive software data identifying current logs and events associated with software products utilized by an entity and may process the software data, with a machine learning model, to generate error severity scores for the software products. The machine learning model may be trained based on historical software data identifying events and logs associated with software products utilized by the entity and based on a combination of historical health scores, historical sentiment scores, and historical dissimilarity scores for the software products. The device may process the error severity scores, with a prioritization model, to generate prioritized error scores and may process the error severity scores and the prioritized error scores, with a root cause analysis model, to generate root cause data identifying root causes associated with the error severity scores. The device may perform one or more actions based on the root cause data.

Abstract: According to an aspect, a (recommendation) system constructs a knowledge graph based on problem descriptors and remediation actions contained in multiple incident reports previously received from a performance management (PM) system. Each problem descriptor and remediation action in an incident report are represented as corresponding start node and end node in the knowledge graph, with a set of qualifier entities in the incident report represented as causal links between the start node and the end node. Upon receiving an incident report related to an incident identified by the PM system, the system extracts a problem descriptor and a set of qualifier entities. The system traverses the knowledge graph starting from a start node corresponding to the extracted problem descriptor using the set of qualifier entities to determine end nodes representing a set of remediation actions. The system provides the set of remediation actions as recommendations for resolving the incident.

Abstract: Embodiments assist with dynamic repairs to the system's grammar. The system can determine the existence of errors within common configuration files. The system can use this determination to compare a common configuration file with a term replacement dictionary to determine resolution options. The system can update the term replacement dictionary if the error or resolution for the error is not in the term replacement dictionary.

Abstract: A method includes determining a system aspect of a system for asset management evaluation. The method further includes determining at least one evaluation perspective for use in performing the asset management evaluation on the system aspect. The method further includes determining at least one evaluation viewpoint for use in performing the asset management evaluation on the system aspect. The method further includes obtaining asset management data regarding the system aspect in accordance with the at least one evaluation perspective and the at least one evaluation viewpoint. The method further includes calculating an asset management rating as a measure of system asset management maturity for the system aspect based on the asset management data, the at least one evaluation perspective, the at least one evaluation viewpoint, and at least one evaluation rating metric.

Abstract: Methods and systems for managing operation of data processing systems are disclosed. To manage operation of the data processing systems, telemetry data for the data processing systems may be collected and used to estimate the health of the data processing systems. The rates and types of telemetry data this is collected may be dynamically adjusted based on the confidence in estimates for the health of the data processing systems. The collection rate and/or number of monitored quantities may be increased as the confidence in the estimated health of the data processing systems decreases.

Abstract: A method for determining a reset cause of an embedded controller for a vehicle includes: executing an embedded controller for the vehicle by a central processing unit (CPU) of the embedded controller; generating a log based on information related to reset of the embedded controller collected from the running embedded controller, and a sequence number generated by the running embedded controller by the embedded controller; determining cause information of a reset trigger by analyzing the log including the reset trigger log, and determining reset cause information of the embedded controller based on the cause information of the reset trigger by a log analyzer of the embedded controller; storing a cause analysis result log including the reset cause information in a cause analysis result buffer in response to the reset cause information by the embedded controller; and storing the cause analysis result log in a non-volatile storage device.

Abstract: Inputs to a system under test (SUT) are modeled as a collection of attribute-value pairs. A set of testcases is executed using an initial set of test vectors that provides complete n-wise coverage of the attribute-value pairs. For each execution of the testcases, for each attribute-value pair, a non-binary success rate (SAV) is computed based on the binary execution results. in response to a success rate of an attribute-value pair being below a predetermined threshold, a subset of testcases that use the attribute-value pair is identified. Further, sets of code paths for the subset of testcases are identified, each set of code path respectively corresponding to a testcase from the subset of testcases. Further, an intersection of the sets of code paths is determined. Code paths of the SUT that are in the intersection, are highlighted to represent a soft failure with the SUT.