Abstract: Embodiments herein provide a method for controlling operations of a Redundant Array of Independent Disks (RAID) data storage system comprising a host device and a plurality of solid-state drives (SSDs). The method includes performing, by the at least one SSD, recovery of lost data by performing the auto-rebuild operation. The method also includes performing by the at least one SSD, the auto-error correction operation based on the IO error. The method also includes creating a snapshot of an address mapping table by all SSDs of the plurality of SSDs in the RAID data storage system. The auto-rebuild operation, the auto-error correction operation and the creation the snapshot of the address mapping table are all performed without the intervention from the host device.

Abstract: A test controller functionally tests components of a modular data center (MDC) that is being manufactured. Functional test(s) for quality assurance of an environmental control system (ECS) are determined for an information technology pre-assembled component (ITPAC) module and an environmental system (ES) module that are configured for being coupled together for cooling of heat-generating equipment of the ITPAC module at a deployed location. For each functional test(s), the test controller identifies input signal value(s) associated with one of the modules. The test controller emulates, via a communication test cable connected between the one module and the test controller, the identified input signal value(s). The test controller determines, via the communication test cable, any response by the one module to the input signal value(s). The test controller compares the determined response to an expected response and generates and outputs test data based on the comparison.

Abstract: Failover between decentralized identity stores in the context of there being multiple decentralized identity stores that are each under the control of a single decentralized identity to store data belonging to or regarding the decentralized identity. Third parties can use the decentralized identity to at least conditionally access the data of the primary decentralized identity store. However, in response to detecting a failover event, one of the remaining decentralized identity stores is promoted as the new primary decentralized identity store. As part of this promotion, the new primary decentralized identity store replaces the old primary decentralized identity store as being the decentralized identity store that is accessed using the decentralized identity.

Abstract: Methods, systems, and apparatus, including computer-readable storage media for uncorrectable memory recovery. Different sources of uncorrectable memory error are handled to provide for recovery actions by a host kernel of a machine hosting one or more virtual machines. Rather than defaulting to kernel panic behavior, the host kernel can identify the source of uncorrectable error, and cause the host machine and/or the affected virtual machines to take recovery action that is less disruptive than abrupt shutdown from panic. For example, the host kernel can handle uncorrectable memory error caused by kernel accesses to guest memory of a host virtual machine, as well as uncorrectable memory error improperly raised as a result of known defects in host machine hardware. The host kernel can also be configured to detect sources of overflow in exceptions raised by a processor as a result of uncorrectable memory error.

Abstract: Techniques for predicting failure mode specific reliability characteristics of tangible equipment using parametric probability models are disclosed. In some example embodiments, a computer system receives a model training configuration entered via a user interface, trains a failure curve model for a selected failure mode of a selected equipment model based on the model training configuration at a time indicated by training schedule data, generating, and generates analytical data for the selected failure mode of the selected equipment model using the trained failure curve model. The failure mode corresponds to a specific way in which the equipment model is capable of failing. In some example embodiments, the training of the failure curve model comprises determining a shape parameter and a scale parameter for the failure curve model based on a fitting of failure event data to a continuous probability distribution, and storing the parameters for use in generating the analytical data.

Abstract: Techniques are disclosed for re-executing a data processing pipeline following a failure of at least one of its components. The techniques may include a syntax for defining a compute graph associated with the data processing pipeline and receiving such a compute graph in association with a specific data processing pipeline. The technique may include executing the data processing pipeline, determining that a component of the data processing pipeline failed, and determining a portion of the data processing pipeline to execute/re-execute based at least in part on dependencies defined by the data processing pipeline in association with the failed component. Re-executing the one or more components may comprise retrieving an output saved in association with a component upon which the failed component depends.

Abstract: Generally described, the present disclosure relates to the use of a virtual machine monitor to instruct one or more virtual processing units belonging to a malfunctioning virtual machine instance to pause processing. While paused, the virtual machine monitor may store the register data of the virtual processing units to virtual memory of the virtual machine instance (e.g., perform a register dump on behalf of the virtual processing units of the malfunctioning virtual machine instance). The virtual machine monitor may then instruct virtual processing units to reinitialize and invoke protected software (e.g., a crash kernel) from virtual memory in an effort to recover from virtual memory the register data dumped there by the VM monitor.

Abstract: A crash analysis system for identifying the cause of application crashes. The crash analysis system generates mapped stack traces that combine code version history data with logging information. The mapped stack traces are used to identify the causal stack frame which includes the function that caused the application crash. The crash analysis system also identifies the author of the function that caused the application crash and distributes a notification to the author that prompts the author to develop a fix that resolves the application crash.

Abstract: Systems and methods for analyzing a customer deployment in a converged or hyper-converged infrastructure are disclosed. A machine learning model is trained based upon historical usage data of other customer deployments. A k-means clustering is performed to generate a prediction as to whether a deployment is configured for optimal failover. Recommendations to improve failover performance can also be generated.

Abstract: A method and system may reconstruct data in a smart storage array where upon detection of data inconsistency, an application of the system is notified and affected data strips are rebuilt. When an initiator detects stripe corruption, the initiator may report the strip corruption to storage. The storage may lock the strip for I/O operations. Initiators may determine recovery scenarios for rebuilding the data strips and send the scenarios to storage. At storage, initiator replies may be collected, and a rebuild option with the highest votes may be automatically determined for a reconstruction operation. Once the reconstruction operation is completed, the rebuilt stripe may be unlocked and data operations may recommence.

Abstract: An apparatus comprises at least one processing device comprising a processor coupled to a memory; the at least one processing device being configured to: obtain a set of rebuild rate parameters for a given storage device from a storage array comprising a plurality of storage devices; and dynamically regulate a rebuild rate associated with a rebuild process for the given storage device based on the set of rebuild rate parameters obtained from the storage array for the given storage device. For example, the set of rebuild rate parameters include a rebuild capacity parameter and a rebuild time parameter.

Abstract: A first non-volatile dual in-line memory module (NVDIMM) of a first server and a second NVDIMM of a second server are armed during initial program load in a dual-server based storage system to configure the first NVDIMM and the second NVDIMM to retain data on power loss. Prior to initiating a safe data commit scan to destage modified data from the first server to a secondary storage, a determination is made as to whether the first NVDIMM is armed. In response to determining that the first NVDIMM is not armed, a failover is initiated to the second server.

Abstract: A data storage device including a non-volatile memory and a micro-controller is provided. The non-volatile memory includes a first block and a second block, wherein the first block stores firmware code. The micro-controller writes one predetermined string into the second block before an execution of the firmware code, and determines whether there is more than one predetermined string in the second block. In response to there being no more than one predetermined string in the second block, the micro-controller allows the execution of the firmware code and erases the predetermined string in the second block upon successful completion of a prerequisite procedure during the execution of the firmware code. In response to there being more than one predetermined string in the second block, the micro-controller does not allow the execution of the firmware code.

Abstract: Disclosed herein are system, method, and computer program product embodiments for transitioning virtual systems from one run-level to a next run-level. In an embodiment, a controller may receive a run-level request to transition a computing cluster (e.g., vSystem) from a first run-level to a second run-level. The controller persists a current run-level of the computing cluster as the second run-level in a configuration file. The controller executes a set of actions corresponding to the second run-level to transition the computing cluster from the first run-level to the second-level. A gateway of the computing cluster receives a request to access the computing cluster. The request includes a user's authentication details. The gateway grants or restricts access to the computing cluster based on the type of user attempting to access the computing cluster and the current run-level of the computing cluster as indicated in the configuration file.

Abstract: An embedded control system for a field device of an automation system includes: a diagnostic application interface to a backend server for signal analytics information, complex event pattern information, and diagnostic information; a physical process interface to a signal source for transferring signal data; a signal evaluation component for comparing received signal analytics information with received signal data to identify a first and a second event; an event processing component for applying received event pattern information to the first and second identified events to identify a first classified event; and a diagnostic reasoning component for deriving causal dependencies between the first classified event and a further classified event with regard to diagnostic information to identify a root cause for the first classified event or predict an impact of the first classified event.

Abstract: A debugging device includes a plurality of debug units, a UART port, and a processor. The debugging device is communicated with an electronic device through the UART port. The processor can receive debug signals from the terminal through the UART port, generate a plurality of debug controlling commands based on the debug signals, and send the plurality of debug controlling commands to the plurality of debug units, for controlling the plurality of debug units to debug the electronic device according to the plurality of debug controlling commands.

Abstract: Disclosed herein are log information collection methods for collecting log information of a network device operating in accordance with instructions from an operation apparatus. In some cases, the log information collection method can comprise: determining whether another piece of the log information including a second character string occurs in a predetermined duration, wherein the niece of log, information includes a first character string; generating a new piece of log information including a third character string; and accepting specifications of the first, second, and third character strings, the predetermined duration, and occurrence or non-occurrence of the piece of the log information and the other piece of the log information.

Abstract: Embodiments of the present disclosure relate to a method, device and computer program product for managing storage systems. A method comprises, in response to receiving a command to recover a storage system, reading first configuration information from a first disk of the storage system to be recovered, the first configuration information indicating a first disk array group to which the first disk belongs. The method further comprises recovering the first disk array group based at least on the first configuration information. The method further comprises, in response to the first disk array group being recovered, reading second configuration information from the first disk array group, the second configuration information indicating a storage resource pool to which the first disk array group belongs. Additionally, the method further comprises recovering the storage resource pool based at least on the second configuration information.

Abstract: Described herein is a computer implemented method for repairing data inconsistency between a first mirror node and a primary cluster. The method comprises retrieving a snapshot of the one or more objects from a primary cluster; determining from the snapshot of the objects, one or more operations for the mirror node to perform to ensure data consistency between the mirror node and the primary cluster; and performing the operations.

Abstract: A data storage erasure system may have a host connected to a plurality of data storage devices via a network controller with each of the plurality of data storage devices and the network controller connected to a pods controller and each of the plurality of the data storage devices having a device controller. A rebuild strategy can be generated with a rebuild module connected to the plurality of data storage devices, the network controller, and the pods controller. The rebuild strategy may be directed to minimize data rebuild times in the event of a failure in the plurality of data storage devices by executing the rebuild strategy in response to a detected or predicted failure in at least one data storage device of the plurality of data storage devices.