Abstract: A method and an apparatus for performing a test for a CPU, and an electronic device. A decay command in a SETWP test and a command-executing duration corresponding to each command subsequent to the decay command can be automatically deployed. Thereby, the SETWP test is correctly performed for the CPU to obtain a test result. It is not necessary to rely on manual adjustment on a parameter of a delay corresponding to each command.

Abstract: Single points of failure (SPoFs) may be determined for I/O connectivity on a storage network. I/O path information may be determined for a storage device, for example, as a result of a host system logging into the storage network, and may be updated in response to events on the storage network. From this determined I/O path information, one or more SPoFs between a storage device and an application layer may be determined if, for the I/O path information collectively, it is determined that there is only one of any of the path components between the storage device and the application layer. The I/O path information may be displayed in a manner that facilitates a user identifying that there is an SPoF on an I/O path between a storage device and an application layer of a host system. Based on the determination of an SPoF, an alert may be issued.

Abstract: Embodiments for providing automated selection of optimal disk types for virtualized storage by defining a minimum number of backup samples, selecting, if the minimum number of backup samples is not met for a backup operation, a solid state drive (SSD) for a virtual machine (VM) storage for a disaster recovery operation, otherwise selecting a hard disk drive (HDD) for the VM storage. The method further defines a cold HDD threshold (CHT) value and a minimal percentage of backups (PPT) value, and obtains a cold backup count based on the CHT value. It compares a ratio of the cold backup count to an amount of backups (AB) for the disaster recovery operation to the defined PPT value, and if the ratio is greater than the PPT value, it selects the SSD rather than HDD for the VM storage.

Abstract: A master processor may retrieve historical and real time machine and human data related to computer system health. The master processor may utilize machine learning and artificial intelligence to predict potential computer malfunctions. The master processor may output notifications regarding the potential computer malfunctions in order to prevent the computer malfunctions from occurring.

Abstract: A method for controlling a storage device is provided. The method may include: transmitting an initial command conforming to a first communications protocol and a data payload comprising a command parameter to the storage device, wherein the command parameter conforms to a second communications protocol; transmitting a setting command conforming to the first communications protocol to the storage device; and generating an operation command conforming to the second communications protocol according to the initial command, the setting command and the data payload comprising the command parameter. More particularly, the initial command and the setting command are different commands.

Abstract: A server-based environment for reporting a status of a security, monitoring and automation controller is provided. Detecting cessation of an always-on persistent network connection between the SMA controller and the server is also provided. Reporting the cessation of the network connection to an end user and defined others is further provided. A further aspect provides for automatically reporting an alarm event to a central station, the end user, and others, in the event the cessation of the network connection occurs while the SMA controller is aimed and after a zone fault event, and not receiving a disarm notification prior to expiration of a preset entry delay.

Abstract: An integrated circuit can include a processor configured to execute program code and a plurality of peripheral circuit blocks coupled to the processor. The plurality of peripheral circuit blocks are controlled by the processor as a master. The integrated circuit also can include a governor circuit coupled to the plurality of peripheral circuit blocks. The governor circuit is configured to monitor operation of the plurality of peripheral circuit blocks for known error states and, in response to detecting an occurrence of a selected known error state of the known error states in a selected peripheral circuit block of the plurality of peripheral circuit blocks, perform a predetermined action on the selected peripheral circuit block.

Abstract: A management device for managing a plurality of computing devices in a data center may comprise a network interface, a first module that periodically sends health status queries to the computing devices via the network interface, a second module configured to receive responses to the health status queries and collect and store health status data for the computing devices, a third module configured to create support tickets, and/or a fourth module configured to (i) create and periodically update a Cox proportional hazards (CPH) model based on the health status data; (ii) apply a deep neural network (DNN) to the input of the CPH model; (iii) determine a probability of failure for each computing device; (iv) compare each probability of failure with a threshold; and (v) cause the third module to generate a pre-failure support ticket for each computing device having determined probabilities of failure above the threshold.

Abstract: According to some embodiments, systems and methods are provided, comprising receiving at least one filter parameter in a filter parameter field and tracing features for tracing execution of an application, wherein the application includes a source code; executing the application while tracing the execution, based on the tracing features, to generate a trace; analyzing the generated trace; and determining a portion of the source code associated with a software bug based on the analysis. Numerous other aspects are provided.

Abstract: A distributed storage integrity system in a dispersed storage network includes a scanning agent and a control unit. The scanning agent identifies an encoded data slice that requires rebuilding, wherein the encoded data slice is one of a plurality of encoded data slices generated from a data segment using an error encoding dispersal function. The control unit retrieves at least a number T of encoded data slices needed to reconstruct the data segment based on the error encoding dispersal function. The control unit is operable to reconstruct the data segment from at least the number T of the encoded data slices and generate a rebuilt encoded data slice from the reconstructed data segment. The scanning agent is located in a storage unit and the control unit is located in the storage unit or in a storage integrity processing unit, a dispersed storage processing unit or a dispersed storage managing unit.

Abstract: Novel and useful system and methods of several functional safety mechanisms for use in an artificial neural network (ANN) processor. The mechanisms can be deployed individually or in combination to provide a desired level of safety in neural networks. Multiple strategies are applied involving redundancy by design, redundancy through spatial mapping as well as self-tuning procedures that modify static (weights) and monitor dynamic (activations) behavior. The various mechanisms of the present invention address ANN system level safety in situ, as a system level strategy that is tightly coupled with the processor architecture. The NN processor incorporates several functional safety concepts which reduce its risk of failure that occurs during operation from going unnoticed. The mechanisms function to detect and promptly flag and report the occurrence of an error with some mechanisms capable of correction as well.

Abstract: A system, computer program product, and computer-implemented method are provided for platform-independent data transformation. A data transformation module is provided, the data transformation module being configured to receive input data from a source application having a first data format, the input data to be transferred to a target application having a second data format, wherein the first data format and the second data format are different data formats; generate a matrix graph, using the data transformation module, to map one or more source fields from the source application to one or more target fields from the target application; based on the matrix graph, transform the input data from the first data format to generate output data in a second data format, wherein the output data is compatible with the target application; and transfer the output data to the target application.

Abstract: Embodiments of the present disclosure provide method, device and computer program product for managing a storage system. The storage system includes a disk having a plurality of extents. The method comprises obtaining metadata associated with an RAID stripe in a first RAID of a first type, the first RAID including at least a part of extents from the plurality of extents. The method also comprises allocating an additional extent to the RAID stripe. The method further comprises converting, based on the allocated additional extent and by modifying the metadata, the first RAID of the first type into a second RAID of a second type in a degraded mode. Additionally, the method comprises initiating, based on the modified metadata, a rebuilding process for the second RAID, so as to convert the second RAID from the degraded mode to a normal mode.

Abstract: Example redundant array of independent disks (RAID) storage systems and methods provide rebuild of logical data groups. Storage devices are configured as a storage array for storing logical data groups distributed among the storage devices. The logical data groups are written in a configuration of RAID stripes in the storage devices. A failed storage device may be rebuilt using the RAID stripes and completed rebuilds of logical blocks may be tracked during the device rebuild process. A logical group rebuild status may be determined by comparing the completed rebuilds of logical blocks to a logical group map. The logical group rebuild status for each logical data group may be provided as complete in response to all logical blocks in the logical data group having been rebuilt. In the event the array rebuild fails, the logical groups that did complete rebuild may be brought online as a partially completed rebuild to prevent the loss of the entire array.

Abstract: Methods and systems for monitoring a premises are described. A server external to the premises may be in communication with a system at the premises. The server may receive status data from the system from one or more interfaces. If a loss of communication occurs on one interface, then the status data may be received via a second interface. The server may determine timing information for status data received via the first interface and for status data received via the second interface. The server may send, based on the timing information, a message to a computing device indicating the loss of communication.

Abstract: Systems and methods for detecting an anomaly in a power semiconductor device are disclosed. A system includes a server computing device and one or more local components communicatively coupled to the server computing device. Each local component includes sensors positioned adjacent to the power semiconductor device for sensing properties thereof. Each local component receives data corresponding to one or more sensed properties of the power semiconductor device from the sensors and transmits the data to the server computing device. The server computing device utilizes the data, via a machine learning algorithm, to generate a set of eigenvalues and associated eigenvectors and select a selected set of eigenvalues and associated eigenvectors. Each local component conducts a statistical analysis of the selected set of eigenvalues and associated eigenvectors to determine that the data is indicative of the anomaly.

Abstract: One example method includes performing a machine learning process that involves performing an assessment of a state of a computing system, and the assessment includes analyzing information generated by an IoT edge sensor in response to a sensed physical condition in the computing system, and identifying an entity in the computing system potentially impacted by an event associated with the physical condition.

Abstract: Disclosed herein are methods, systems, and processes to perform input/output (I/O) fencing without dedicated arbitrators. A coordination storage identifier is stored in a storage device as metadata. The coordination storage identifier is associated with a node of a cluster coupled to the storage device, and an I/O fencing operation is performed using the coordination storage identifier.

Abstract: Switching from primary to backup data storage by preparing a backup copy of multiple data sets, where, prior to the preparing, the backup copy is updated in accordance with a backup protocol specifying synchronously updating the backup copy to reflect changes made to one type of data stored in a primary copy of the data sets, and asynchronously updating the backup copy to reflect changes made to another type of data stored in the primary copy, and where the preparing includes identifying any inconsistency in any interdependent data in the data sets of the backup copy in accordance with a predefined schema of interdependent data in the data sets, and correcting any identified inconsistency in the data sets of the backup copy in accordance with a predefined inconsistency correction protocol, and causing the backup copy to be used in place of the primary copy for directly servicing data transactions.

Abstract: User-to-software-application-instance-pairings are created. Each of the pairings is a unique relationship between one of the users and one of the instances of the software applications. Identifiers for the user-to-software-application-instance-pairings are received. There is a separate identifier for each of the user-to-software-application-instance-pairings. One of the log creation facilities is associated with each of the user-to-software-application-instance-pairings. Log files are created at corresponding ones of the log creation facilities in response to detecting errors during execution of the instances of the software applications. The log files are categorized based on error categories. A request for a post error analysis report is received. The request specifies one of the error categories. A subset of the log files is determined based on the specified error category specified in the request. The subset of the log files is displayed.