Abstract: An information processing apparatus includes sensors for detecting a plurality of types of errors. The information processing apparatus identifies a type of an error detected by one of the sensors, acquires a result of diagnostic processing corresponding to the identified type of the error, and outputs error information indicating the identified type of the error, and diagnostic information about a component corresponding to the result of the diagnostic processing.

Abstract: Techniques involve avoiding a potential failure event on a disk array. Along these lines, data collected for a disk array are obtained. It is determined, based on the collected data, whether a potential failure event is to occur on the disk array. In response to determining that the potential failure event is to occur on the disk array, an action to be taken for the disk array is determined, to avoid occurrence of the potential failure event.

Abstract: An information handling system (IHS), baseboard management controller (BMC) and method are provided for preventing critical operations when power shutdown is predicted. A service processor of a BMC of the IHS executes a predicted power operation (PPO) utility to monitor health data from physical memory devices of memory of the IHS. Based on the health data, the service processor predicts that at least one of the physical memory devices will fail, causing a power shutdown of the IHS. To prevent any critical operation that is executed by a host processing subsystem of the IHS being adversely affected by the shutdown, the service processor of the BMC updates information contained in a PPO software sensor to indicate the predicted power down.

Abstract: A system configured to determine that a trigger condition has occurred that is related to an operation performed on a memory device of the system. Responsive to determining that the trigger condition has occurred, reordering error handling mechanisms of an error handling sequence based upon an error handling mechanism performance metric. Each error handling mechanism specifies operations to be performed to recover an error in the operation on the memory device.

Abstract: A system and method for providing multiple options for booting-up a remote computing device is disclosed. The system has a remote management station, in network communication with a computing device. The computing device has hardware components and a Unified Extensible Firmware Interface (UEFI) basic input output system (BIOS), including multiple power-on self-test (POST) routines. A controller is in communication with the UEFI BIOS and in network communication with the remote management station. The controller receives a selection of one of the plurality of POST routines from the management station. The controller boots up the computing device with the selected POST routine. The POST routines include a normal POST and other specialized routines such as a fast boot option, a safety boot option, a diagnostic boot option and a factory boot option.

Abstract: A system for tracking events of interest can include at least one volatile counter; a nonvolatile storage coupled to the at least one volatile counter, the nonvolatile storage storing a bit for each top volatile count number of events identified by the at least one volatile counter; a backup power source coupled to the at least one volatile counter; and readout circuitry and control logic coupled to the one or more of the at least one volatile counter and to the nonvolatile storage, the readout circuitry and control logic being configured to control operations of the at least one volatile counter during an error event and determine a total number of events.

Abstract: In general, the invention relates to a method for managing data. The method includes detecting a failure of a persistent storage device of a plurality of persistent storage devices, and in response to the detecting, initiating a rebuilding of data in a spare persistent storage device using proactive copy metadata, checkpoint metadata, and slice metadata, wherein the data is a copy of data that was stored in the persistent storage device.

Abstract: Embodiments provide a recovery method for a terminal device startup failure and a terminal device. The method includes: determining that a failure indication event occurs in a startup process, where the failure indication event is used to indicate a startup failure; determining at least one recovery policy based on a type of the failure indication event and/or a cause of the failure indication event; and performing startup recovery based on the at least one recovery policy.

Abstract: A management method for managing an autopilot system fitted to an aircraft, the management method being adapted to manage at least one error in at least one succession of steps serving to generate at least one autopilot setpoint for the aircraft, the autopilot system comprising at least one computer serving to implement a plurality of successions of steps generating different autopilot setpoints for the aircraft. Such a method comprises an identification step serving to identify the at least one error, a calculation step for determining a total number of occurrences of the at least one error, a stop step serving to stop the at least one succession of steps, a reinitialization step for reinitializing the at least one succession of steps, and a relaunch step for relaunching the at least one succession of steps.

Abstract: The present disclosure relates to a method and system for predicting and mitigating failures in Virtual Desktop Infrastructure (VDI) systems. System logs is received from VDI systems. Error logs are segregated from the system logs. A prediction score is generated based on the error logs. A failure is predicted in VDI systems based on the prediction score and the error logs using a trained machine learning model. A response action associated with the predicted failure is determined. Training the machine learning model comprises receiving feature vectors associated with training error logs and one or more rules. Further, the training comprises determining a failure and a value based on the feature vectors and the one or more rules. Also, the training comprises determining a correlation between the one or more rules, the determined failure and the feature vectors.

Abstract: The present disclosure provides systems and methods for classifying incidents based on determining an odds ratio that represents a likelihood of an incident being related to the problem, classifying incidents based on determining a decision tree that forms branches based on whether a feature is present in the incident, and predicting whether a new incident is related to a problem. Features may be extracted from a set of incidents (e.g., that are reported over a certain time period) that include incidents related to a problem and incidents not related to the problem. The incidents related to the problem and a portion of the incidents not related to the problem may be used to train a logistic regression model or generate a decision tree. The trained logistic regression model may be used to determine the odds ratios or predict whether a new incident is related to a problem.

Abstract: Systems and methods may be implemented to prevent application crashes by correlating a history of operating system (OS) updates with occurrence of past client application crashes using information that is crowd-sourced from multiple information handling systems so that action/s may be taken to prevent occurrence of future client application crashes on the information handling system/s. Machine learning (e.g., deep learning) may be employed to automatically correlate the history of OS updates with a record of past client application crashes that have occurred on multiple client information handling systems, and then the likely root cause/s for the client application crashes identified based on this correlation. These likely root cause/s may be corrected or otherwise addressed, e.g., by further investigation into the details of the root cause, and/or user or automatic system action to remove or block the root cause.

Abstract: Systems and methods described herein include receiving, from a first network function, a request to receive a notification when a second network function becomes available after a failure. A status update may be received from the second network function indicating that the second network function is available. It may be determined that the second network function is in a stable state. A notification may be sent, to the first network function, that the second network function is available along with an indication of a time period in which to switch from accessing a third network function to accessing the second network function.

Abstract: Systems and methods for detecting a fault or model mismatch are disclosed. A system includes a processor, a memory, and one or more sensors. The sensors may detect data associated with an electronic device. The memory may store processor executable instructions to: compute T2 and Q statistics, over a time period, and apply a model mismatch and fault detection logic based on the T2 and Q statistics. The model mismatch and fault detection logic may: count consecutive instances where a T2 statistic exceeds a T2 threshold via a T2 counter, update a probability of fault based on the T2 counter, count consecutive instances where a Q statistic exceeds a Q threshold via a Q counter, update a probability of model mismatch based on the Q counter, and detect one of a fault or a model mismatch based on a probability of fault threshold and a probability of model mismatch threshold.

Abstract: Embodiments of the present disclosure relate to a method, system and computer program product for maintaining a storage array online. According to the method, an unrecoverable error is detected by one or more processors as having occurred in a failed disk of a storage array in first storage. The failed disk is replaced with a spare disk in the first storage. Data is retrieved from a second storage for storing into a stripe of the first storage based on address information of a data block of the failed disk. The second storage stores mirrored data of data stored in the first storage. The stripe includes data blocks distributed across all disks in the storage array of the first storage. The retrieved data is caused to be written into the stripe of the storage array of the first storage. In other embodiments, a system and a computer program product are disclosed.

Abstract: An information processing device is provided with: a first processing unit that generates first information by performing first processing with respect to sensor information acquired from a sensor; a second processing unit that generates second information by performing, with respect to the first information, second processing that is different from the first processing; and a third processing unit, which generates third information by performing, with respect to the first information, third processing, i.e., processing that corresponds to at least a part of the second processing, and which acquires the second information, and outputs the second information and the third information.

Abstract: A parallel processing apparatus includes: nodes that execute information processing; and a control device, wherein the control device includes processing units provided corresponding to the nodes and configured to process a command received from the corresponding node and a data string, each of the processing units includes a reception data register in which data pieces in a reception data string are stored, a reception data buffer to which the data piece is transferred from the reception data register, a reception completion detector that detects completion of transfer of the reception data string, a fault detector that detects whether the received command is a fault command, and an interrupt issuer that issues an interrupt based on detection of the fault command, and issues an interrupt based on detection of the completion of the transfer of the reception data string when the fault detector does not detect the fault command.

Abstract: A method for reporting incidents of data loss in a storage environment comprising redundant arrays of independent disks (RAIDs) is disclosed. In one embodiment, such a method monitors storage drive failures in a storage environment. For a storage drive failure detected in the storage environment, the method reports the RAID type in which the storage drive failure occurred and whether data loss occurred in the RAID as a result of the storage drive failure. In certain embodiments, the method reports whether the data loss could have been prevented had the RAID type been converted to a more robust RAID type. In other or the same embodiments, the method reports whether the data loss was prevented by the RAID type. A corresponding system and computer program product are also disclosed.

Abstract: Device operation across multiple operating system modalities, including: performing, by a first operating system, one or more device initialization operations for a device; determining that the device is in an initialized state; and performing, by a second operating system, one or more device operations of the device in the initialized state.

Abstract: An apparatus includes a database and a processor. The database stores a set of inputs and a set of outputs, some of which are labeled as inaccurate. The processor forms a matrix of basis functions to represent the system that generated the outputs, such that a solution exists to the equations formed by multiplying the matrix by a vector of the inputs and setting this equal to a vector of the outputs. The processor reduces the number of adjustable parameters in a first row of the matrix associated with a first inaccurate output and determines that a solution to the matrix equation still exists. The processor reduces the number of adjustable parameters in a second row of the matrix associated with a second inaccurate output and determines that a solution to the matrix equation no longer exists. The processor sends the first output as a remediation candidate to an administrator.