Abstract: In each node constituting a storage system, there is at least one of a storage area (user area) in which a user data set is stored and a storage area (parity area). For the node having the user area, there is user part difference information including information indicating whether or not to be in presence of difference for each user area of the node. For the node having the parity area, there is parity part difference information including the information indicating whether or not to be in the presence of difference for each parity area of the node. Out of the parity part difference information, the information corresponding to the parity area is the information indicating the presence of difference when there is the information indicating the presence of difference in the storage area of any of the data sets used for generating the parity stored in the parity area.

Abstract: The present disclosure relates to computer-implemented methods, software, and systems for obtaining incoming alerts associated with tickets generated for health status issues identified by applications for central components of a cloud platform environment. The obtained incoming alerts are aggregated to determine a root cause ticket. A set of incoming alerts is associated with a first central component running at a first data center from one or more data centers of the cloud platform environment. The set of incoming alerts are generated based on a set of tickets logged at a first ticketing system of the first data center by one or more applications running on the first data center. A root cause ticket is generated to combine the set of tickets corresponding to the set of incoming alerts, and the root cause ticket identifies the first central component as associated with a first health status issue.

Abstract: Some users of a data management system (DMS) may use multiple computing environments to replicate and store virtual machines (VM)s, such as for backup and recovery purposes. For example, different replication environments may include one or more private data centers, one or more cloud environments or any combination thereof. A user may schedule a failover procedure for an application. A DMS may perform a failover procedure that reduces downtime and eliminates data loss. The DMS may capture and replicate a snapshot of a VM running on a source computing environment to a target computing environment, power down the VM on the source computing environment, capture and replicate a second snapshot of the VM to the target computing environment, and power on the VM at the target computing environment. As the additional snapshot includes a relatively small amount of data replication at the target computing environment may proceed quickly, reducing downtime.

Abstract: In general, the invention relate to providing computer implemented services using information handling systems. One or more embodiments includes after being allocated to a composed information handling system of the composed information handling systems: monitoring health of a hardware resource of the composed information handling system, making a determination, based on the monitoring of the health of the hardware resource, that the hardware resource is in a compromised state, and based on the determination, initiating a hardware replacement operation using replacement option information (ROI) for the hardware resource and replacement conditions for the hardware resource.

Abstract: Automated, computer-implemented methods and systems for resolving performance problems with objects executing in a data center are described. The automated methods use machine learning to train a model that comprises rules defining relationships between probabilities of event types of in log messages and values of a key performance indictor (“KPI”) of the object over a historical time period. When a KPI violates a corresponding threshold, the rules are used to evaluate run time log messages that describe the probable root cause of the performance problem. An alert identifying the KPI threshold violation, and the log messages are displayed in a graphical user interface of an electronic display device.

Abstract: An inference service management method, apparatus, and system for an inference platform, and a medium, the method comprising: detecting whether there is inference service corresponding to the inference service record in a server according to an inference service record in a database (S110); and if not, then restoring the corresponding inference service according to the inference service record (S120). According to the method, an inference service in a server is detected according to an inference service record in a database to determine whether there is inference service corresponding to the inference service record in the server, if not, it means that the inference service record is inconsistent with a real inference service, and then corresponding inference service may be restored according to the inference service record.

Abstract: A diagnostic system applied to an electronic equipment with a plurality of hardware devices is provided. The hardware devices include a display and a processor, the diagnostic system is executed by the processor to diagnose the hardware devices. The diagnostic system includes a diagnostic test interface, which is displayed on the display and includes a plurality of hardware items corresponding to the hardware devices. Each of the hardware items links to the hardware devices. When at least one of the hardware items is triggered, the processor executes the diagnostic item of the hardware device corresponding to the triggered hardware item.

Abstract: A cause analysis and remediation engine (CARE) can perform an analysis of inputs characterizing aspects of the system at the time an alert is generated in order to determine causes and remediation actions for the alert. The CARE can automatically detect and analyze inputs including configuration information, compliance information, and workload and performance information to determine one or more expected causes of the alert and one or more corresponding remediations that can be taken. The CARE can include a rules engine and a remediation service. The rules engine can include one or more trained models, such as trained machine learning models, each using rules to recognize inputs denoting a particular expected cause of the alert. The models can be decision trees trained using supervised learning. The remediation service can map one or more expected causes determined by the rules engine to the one or more corresponding remediations.

Abstract: A method for determining at least one machine involved in an anomaly detected in a computing infrastructure comprising a plurality M of machines. This determination is performed by associating with each machine a state vector constructed using metrics and logs. Each vector is also associated with a time window. The monitoring of these vectors makes it possible to detect an anomaly that is then explained via an explanation method that makes it possible to assign an involvement indicator to each machine. The use of this indicator makes it possible to determine the machine most involved.

Abstract: A method of performing a full data reconstruction in a redundant array of independent disks (RAID) system with a protection pool of storage units includes determining that a physical disk of a storage cluster has been removed from service. The physical disk includes a set of physical extents and at least one physical extent of the set of physical extents is associated with an array of physical extents distributed across physical disks of the storage cluster. The method further includes transmitting a message to one or more array groups of the physical disks, to allocate replacement physical extents and assign the replacement physical extents to the array of physical extents and initiating reconstruction of data from the set of physical extents of the physical disk to the replacement physical extents.

Abstract: Systems and methods that make use of cluster-level redundancy within a distributed storage management system to address various node-level error scenarios are provided. Rather than making use of a generalized one-size-fits-all approach in an effort to reduce complexity, an approach tailored to the node-level error scenario at issue may be performed to avoid doing more than necessary. According to one embodiment, responsive to identification of a failed RAID stripe by a node of a cluster of a distributed storage management system, for each block ID of multiple block IDs associated with the failed RAID stripe, a data block is restored corresponding to the block ID by reading the data block from another node of the cluster having a redundant copy of the data block; and writing the redundant copy of the data block to a storage area of the node that is unaffected by the failed RAID stripe.

Abstract: A method begins by receiving data to be distributedly stored in a storage network and continues by determining a decode threshold value for storage of the data, wherein the data is to be distributedly stored in the storage network. The method continues by determining a preferred encoded data slice size for storage of the data, where the preferred encoded data slice size is based on a minimum performance level requirement and based on the preferred encoded data slice size and the decode threshold value the method continues by determining a preferred segment size for the data. The method then continues by determining a segmentation scheme for the data based on the preferred segment size for the data and segmenting the data into a plurality of data segments in accordance with the segmentation scheme. The method then continues by determining dispersed error encoding parameters for encoding each data segment and encoding each data segment to produce a set of error encoded data slices.

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: 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: 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 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.