Abstract: Embodiments relate to determining legal positions as candidate positions for inserting a memory device in memory devices and determining a namespace range migration cost for the candidate positions based on a balanced state for a namespace range distributed across the memory devices. An insertion position to insert the memory device in the memory devices is selectable from the candidate positions. A given candidate position is selected with a minimum namespace range migration cost corresponding to a requirement to transfer data between the memory devices to result in the balanced state for the namespace range across the memory devices. The given candidate position is the insertion position to insert the memory device in the memory devices. Responsive to inserting the memory device at the insertion position in the memory devices, a transfer occurs of the data in the memory devices in accordance with the insertion position of the memory device.

Abstract: A method for performing automated GUI-driven OpROM validation starts with a processor executing an automated test script; and in response to executing the automated test script, the processor is caused to remotely accessing a memory sub-system using a web driver and an interface. The processor causes a BIOS terminal window of the memory sub-system to be displayed on a display screen. The processor captures a screenshot of the BIOS terminal window and generating an image based on the screenshot. The processor converts the image to text using OCR and generates an output comprising BIOS configuration details based on the text using a machine-learning algorithm. The processor then analyzes the output to validate the memory sub-system when no errors are detected in the output or to flag the memory sub-system when errors are detected in the output. Other embodiments are described herein.

Abstract: Disclosed are various embodiments for identifying fault injection impact zones. A test for an application can be received from a test service. An application schema can then be created that represents the systems or services that are involved in the execution of the application. Applications with a similar application schema are then identified using a first machine-learning model. A subset of the plurality of applications that have experienced a similar test are then identified with a second machine-learning model. Log files associated with each of the subset of applications are then analyzed to identify errors that occurred during the similar test. Each of the identified errors are then provided to the test service in response to receipt of the test.

Abstract: Methods and systems for performing efficient integration tests on mobile device for contactless data transfers are described. Rather than performing contactless communications with a variety of test user devices (e.g., test smart cards), which may be time consuming and may present physical difficulty, a mobile device can simulate the result of these communications using a simulator application operating on the mobile device. A contactless communication application, also operating on the mobile device, can communicate with the simulator application in order to generate interaction payloads based on stored data records corresponding to the test user devices. These interaction payloads can then be transmitted by the mobile device to a processing computer. Later, the mobile device may receive a response from the processing computer or another computer system, indicating if the interaction payloads were successfully received and interpreted. This in turn may indicate if the integration test was successful.

Abstract: A data storage device and method for enhanced recovery through data storage device discrete-component-hardware-reset are provided. In one embodiment, the data storage device determines that a subset of a plurality of memory dies is non-responsive, sends a request to a host to accept longer delays associated with the subset of the plurality of memory dies, power-cycles the subset of the plurality of memory dies, and then informs the host that the latency associated with those dies has been restored to normal latency or that the subset of the plurality of memory dies are inactive (in case of unsuccessful recovery). Other embodiments are possible, and each of the embodiments can be used alone or together in combination.

Abstract: A fault indication from a fault source is to be provided to a demultiplexer which is configured to output the fault indication. The demultiplexer is configurable to output the fault indication to an OR gate of a plurality of OR gates coupled to a respective fault channel of a plurality of fault channels based on an application which uses the fault source as a resource. A reaction to the fault indication is performed based on the fault channel which received the fault indication.

Abstract: The present application discloses a data reconstruction method based on erasure coding, an apparatus, a device and a storage medium. The method comprise the following steps: acquiring data offset information of incremental data in a data object; acquiring corresponding data segments from a plurality of source OSDs according to the data offset information; wherein, the source OSDs are target OSDs storing incremental data among respective OSDs storing data objects based on erasure coding, and a quantity of the source OSDs is the same as a quantity of data disks corresponding to the erasure coding; integrating the data segments into an erasure incremental segment, and writing the erasure incremental segment into a to-be-reconstructed OSD, which has no incremental data stored therein, among the respective OSDs. The present method reduces the data volume of data reconstruction, and further ensures the overall efficiency of data reconstruction.

Abstract: Methods and systems for managing data processing systems are provided. Data processing systems may host various computer-implemented services. Data processing systems may also be changed to operate in different states where one or more currently hosted computer-implemented services may no longer be hosted in the new state. Removal of these no longer hosted computer-implemented services from the data processing systems may cause complications for the data processing systems in the new state. Undefine policies may be preconfigured for one or more hosted computer-implemented services to prevent occurrence of such complications.

Abstract: A self-healing Hard Disk Drive (HDD) system includes a chassis housing an HDD device self-healing subsystem coupled to an HDD data storage system that includes a plurality of HDD data storage resources. The HDD device self-healing subsystem prevents data from being stored on a first HDD data storage resource that is included in the plurality of HDD data storage resources included in the HDD data storage system. When the HDD device self-healing subsystem determines that data storage operations using a second HDD data storage resource that is included in the plurality of HDD data storage resources will be subsequently unavailable, it remaps logical addresses associated with the second HDD data storage resource to the first HDD data storage resource, and provides the data that was stored using the second HDD data storage resource on the first HDD data storage resource.

Abstract: A computer-implemented method according to one embodiment includes accessing a copy of a ledger that includes information associated with a plurality of potential recovery sites of a multi-site environment. The information of the copy of the ledger is stored on a blockchain by the potential recovery sites. A current threat to a production site of the multi-site environment is identified. The method further includes, analyzing, based on the current threat, the copy of the ledger to determine one of the potential recovery sites to use as a failover for the production site, and in response to a determination that the current threat has caused a disaster event on the production site, causing the production site to failover to the determined recovery site.

Abstract: Disclosed embodiments pertain to automatic failover for non-relational databases. A machine learning model can be generated and trained with historical failover data. The historical failover data can be related to previous primary node failures or previous region failures of a plurality of non-relational databases. A non-relational database may be monitored for real-time or near-real-time data. The data can be input into the machine learning model to predict the likelihood that a primary region is in a failure state. A new primary node can be designated automatically when the likelihood satisfies a predetermined threshold. Data services are thus automatically transferred from a primary node in the failing region to a new primary node in a non-failing region.

Abstract: A system and method for providing erasure code protection across multiple storage devices. A data switch in a storage system connects a plurality of storage devices to a remote host. Each storage device is also connected to a controller, e.g., a baseboard management controller. During normal operation, read and write commands from the remote host are sent to respective storage devices through the data switch. When a write command is executed, the storage device executing the command sends a copy of the data to the controller, which generates and stores erasure codes, e.g., on a storage device that is dedicated to the storage of erasure codes, and invisible to the remote host. When a device fails or is removed, the controller reconfigures the data switch to redirect all traffic addressed to the failed or absent storage device to the controller, and the controller responds to host commands in its stead.

Abstract: A method performs a computer-assisted creation of a test algorithm for processing applications in a computing environment for executing a large number of application programs, by taking into account configuration data for the application programs. For each application program, a data segment is formed and the configuration data referring to the relevant application program is combined as a data segment. The data segments are combined in a data set. A global ID code is assigned to the data set. Participating components of the computing environment are identified, and an ID code assigned to them. A hash function is applied to each of the data segments contained in the data set. A calculation function is applied to each data segment in that the ID codes, the hash value of the relevant data segment and the global ID code are linked together by computational operators.

Abstract: The present disclosure provides a memory system for selecting from among a plurality of read retry routines based on metadata. The memory system can include one or more memory devices and a memory controller. The memory controller can also detect a failure of a read operation. The memory controller can also analyze a set of values that correspond to a set of effectors of the read operation. The memory controller can select one or more read retry routines from a plurality of read retry routines based on the analyzing. Each of the plurality of read retry routines can associated with a different effector from the set of effectors and a read voltage that corresponds to the different effector. The memory controller can also perform the selected one or more read retry routines at the portion of the one or more memory devices to negate the failure of the read operation.

Abstract: A system-on-chip (SoC) may include a plurality of terminals and a plurality of terminal controllers. Each terminal controller is configured to selectively disable a terminal. An SoC be configured to execute at least one application. An SoC may include a memory configured to store a plurality of terminal masks. Each terminal mask identifies a subset of the plurality of terminals to be disabled. An SoC may include a fault collection and reaction system configured to transmit, to the plurality of terminal controllers, a fault indication signal in response to an error in a corresponding application. Each terminal controller is further configured to determine, based on a fault indication signal and a value in a terminal mask, whether the terminal corresponding to the terminal controller is to be disabled, and when the terminal corresponding to the terminal controller is to be disabled, disable the terminal.

Abstract: An information handling system may include a processor and a management controller electrically coupled to the processor and configured to provide out-of-band management facilities for management of the information handling system, the management controller further configured to in response to one or more heartbeat synchronization signals received from a software service of the information handling system, wherein each of the one or more heartbeat synchronization signals is associated with an item of software stored on the information handling system, determine if any critical software is missing from the information handling system, and for each item of missing critical software, cause a service operating system of the information handling system to stage installation of a restore image of such item.

Abstract: An example computer-implemented method is for managing a compute system with FRUs. The computer-implemented method includes receiving status information corresponding to the FRUs. The status information is collected from the FRUs in response to the compute system being powered on. The computer-implemented method also includes, in response to a predetermined condition being met, sending for each of the FRUs, one or more instructions to erase a dynamic portion of electrically erasable programmable read-only memory (EEPROM) located at a respective FRU; and sending for each of the FRUs, one or more instructions to write a portion of the status information corresponding to the respective FRU in the dynamic portion of the EEPROM at the respective FRU. Moreover, the EEPROM at each FRU includes the dynamic portion and a read-only portion.

Abstract: Techniques for failure prediction of controllers are disclosed. For example, a method comprises collecting data corresponding to operation of a plurality of controllers from one or more devices, and predicting, using one or more machine learning algorithms, at least one of degradation and failure of one or more controllers of the plurality of controllers based, at least in part, on the data corresponding to the operation of the plurality of controllers. Using the one or more machine learning algorithms, one or more corrective actions to prevent the at least one of the degradation and the failure of the one or more controllers are identified. Instructions comprising the one or more corrective actions are generated and transmitted to at least one user device.

Abstract: Crash-related information for a secure workspace can be collected. An extended paging table (EPT) handler can be registered in a hypervisor used to deploy a secure workspace on a user computing device. When a secure workspace is about to crash, the EPT handler can be invoked to collect crash-related information about the secure workspace and the hypervisor on which the secure workspace is hosted. After the crash and when the secure workspace is again deployed, a workspace agent running inside the secure workspace can collect additional crash-related information. All of this crash-related information can be communicated to a host agent and relayed to a management service on a management server to allow the crash-related information to be reviewed and analyzed.

Abstract: Apparatuses, systems, and techniques to optimize processor performance. In at least one embodiment, a method increases an operation voltage of one or more processors, based at least in part, on one or more error rates of the one or more processors.