Abstract: A method and apparatus for storing autonomous driving test data and an electronic device are provided. The method may include: acquiring a task type of a test task of an autonomous vehicle; receiving message data acquired in a test of the autonomous vehicle and corresponding to the task type, and writing the message data into a data queue; creating a log file corresponding to the task type, writing the message data corresponding to the task type in the data queue into the log file, and transferring the log file and a file name of the log file to the data queue; acquiring preset disk drop scenario information corresponding to the task type; and adding, according to the preset disk drop scenario information, an unclearable mark to the log file in the data queue having data acquisition time consistent with the time of triggering disk drop storage of data.

Abstract: Various embodiments of systems and methods for faster restart of task nodes using periodic checkpointing for data sources are described. A task node obtains data from data sources in order to perform one or more tasks. The task node checkpoints data source progress points for each of its data sources, whether active or inactive, into a common checkpoint data structure at least once every time interval. Multiple task nodes checkpoint their data source progress points into the same common checkpoint data structure. After restart, the task node determines where to resume obtaining data from its data sources by determining a limited portion of the common checkpoint data structure based on the time interval, analyzing only the limited portion of the common checkpoint data structure, retrieving the data source progress points for each of its data sources, and resuming obtaining data from the data sources to perform tasks.

Abstract: A data storage device and method for preventing data loss during an ungraceful shutdown are provided. In one embodiment, a data storage device is provided comprising a volatile memory; a non-volatile memory; and a controller. The controller is configured to detect an ungraceful shutdown; and in response to detecting the ungraceful shutdown: generate a reduced set of parity bits for data stored in the volatile memory, wherein the reduced set of parity bits comprises fewer parity bits than a full set of parity bits used in a graceful shutdown; and store the data and the reduced set of parity bits in the non-volatile memory. Other embodiments are possible, and each of the embodiments can be used alone or together in combination.

Abstract: An information generation apparatus includes a feature information generator that generates feature information on transition to a first screen based on a log including a transition timepoint and identification information, the transition timepoint being a timepoint when a foreground screen transitioned from a second screen to the first screen among a plurality of screens displayed by a plurality of program modules that differ from each other, and the identification information identifying from among the program modules a first program module for displaying the first screen, an index value generator that generates an index value indicative of a degree to which the first screen draws attention from a user based on the feature information, and a determiner that determines based on the index value whether to use the identification information that identifies the first program module in a process of estimating the state of the user.

Abstract: A method includes determining, by an analysis system, a system aspect of a system for an issue response evaluation. The method further includes determining, by the analysis system, at least one evaluation perspective for use in performing the issue response evaluation on the system aspect. The method further includes determining, by the analysis system, at least one evaluation viewpoint for use in performing the issue response evaluation on the system aspect. The method further includes obtaining, by the analysis system, issue response data regarding the system aspect in accordance with the at least one evaluation perspective and the at least one evaluation viewpoint. The method further includes calculating, by the analysis system, an issue response rating as a measure of system issue response maturity for the system aspect based on the issue response data, the at least one evaluation perspective, the at least one evaluation viewpoint, and at least one evaluation rating metric.

Abstract: A method includes determining, by an analysis system, a system aspect of a system for an issue response planning evaluation. The method further includes determining, by the analysis system, at least one evaluation perspective and at least one evaluation viewpoint for use in performing the issue response planning evaluation on the system aspect. The method further includes obtaining, by the analysis system, issue response planning data regarding the system aspect in accordance with the at least one evaluation perspective and the at least one evaluation viewpoint. The method further includes calculating, by the analysis system, an issue response planning rating as a measure of system issue response planning maturity for the system aspect based on the issue response planning data, the at least one evaluation perspective, the at least one evaluation viewpoint, and at least one evaluation rating metric.

Abstract: A memory device includes: a first substrate; a peripheral circuit provided on the first substrate; a first metal bonding layer provided on the peripheral circuit; a second metal bonding layer directly bonded to the first metal bonding layer; a memory cell array provided on the second metal bonding layer; and a second substrate provided on the memory cell array. A page buffer circuit in the peripheral circuit receives a verification result through the metal bonding layers, divides the verification result into stages, and sequentially outputs the verification result for the division into the stages, and a pass/failure checker in the peripheral circuit sequentially performs a counting operation about each of the stages to generate accumulated values, and compares the accumulated values and a reference value which increases from an initial value as the counting operation is performed, and the initial value is set by an external memory controller.

Abstract: A method includes identifying multiple apportionments, where each apportionment identifies numbers of bit copies to be stored in at least one memory for at least some bits of a data value. The method also includes, for each apportionment, estimating a numerical error associated with use of the apportionment with a specified function, where the numerical error is estimated by creating errors in bit copies of multiple data values processed using the specified function. The method further includes combining portions of different ones of the apportionments having lower estimated numerical errors to create multiple derived apportionments. The method also includes, for each derived apportionment, estimating a numerical error associated with use of the derived apportionment with the specified function. In addition, the method includes selecting a final apportionment for use with the specified function, where the final apportionment includes or is based on at least one of the derived apportionments.

Abstract: In a general aspect, quantum computing system performance is tested. Systems and methods for testing hardware in a quantum computing system are described. The methods may include certification/decertification of data produced by the quantum computing system, detection of faults, correction of errors and/or recalibration/replacement of the quantum computing system or a quantum computing subsystem.

Abstract: Embodiments of the disclosure provide systems and methods for enabling disaster recovery from a source cluster to a target cluster in a multi-cluster cloud-computing environment. A domain cluster configures a replicated data volume to be updated with data from a data volume of the source cluster, wherein the replicated data volume resides in the target cluster; determines that the target cluster is to replace the source cluster as an active cluster; rebuilds, in the target cluster, a new container instance to replace the container instance on the source cluster; configures the container instance to utilize the replicated data volume in the target cluster; and discontinues recognition of the data volume and container instance on the source cluster as being authoritative.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product that involve accessing a storage device. The method includes determining, in response to an access to the storage device via a first path being determined as timeout, whether an error on the first path is of a first error type. The method further includes causing the access to be suspended for at least a scheduled time period if the error on the first path is of the first error type. The method further includes resuming the access via a second path after the scheduled time period expires. With embodiments of the present disclosure, the capability of processing the problem of failure in accessing a storage device and the stability in accessing a storage device can be improved.

Abstract: Dynamically adjusting an amount of log data generated for a storage system that includes a plurality of storage devices, including: setting, for a component within the storage system, a logging level for the component, the logging level specifying the extent to which log data should be generated for a particular component; determining, in dependence upon one or more measured operating characteristics of the storage system, whether the logging level for the component should be changed; and responsive to determining that the logging level for the component should be changed, changing the logging level associated with the component.

Abstract: A system for poisoned data management includes an interface and a processor. The interface is configured to receive an indication of poisoned data in a published event. The processor is configured to mark the poisoned data in a data graph; mark in the data graph a set of downstream nodes as poisoned; and store the data graph.

Abstract: Various methods, systems, apparatuses, and media for implementing a log file processing module are disclosed. A database stores a plurality of log files each having one or more lines with keywords for searching common keywords of errors and warnings appearing in testing an application. A receiver receives a log file from the database via a communication network. A processor operatively connected to the receiver and the database via the communication network dynamically and automatically summarizes contents of the log file by generating a reduced data file in a human readable format by automatically executing a summarization algorithm.

Abstract: A redundant array of independent disks (RAID) management method includes, when detecting that a component in a storage medium fails, recovering, based on a RAID policy, data stored in the failed component, saving the recovered data into a pre-defined redundant space of the RAID, and mapping an address of the failed component with the address of the redundant space, converting, according to the mapping, an address of to-be-accessed data comprised in an accessing request into an address within the redundant space, and accessing the to-be-accessed data from the redundant space according to the address within the redundant space.

Abstract: An example memory sub-system includes one or more memory devices and a processing device, operatively coupled to the one or more memory devices.

Abstract: A computerized method is disclosed for generating a prioritized listing of alerts based on scoring by a machine learning model and retraining the model based on user feedback. Operations of the method include receiving a plurality of alerts, generating a score for each of the plurality of alerts through evaluation of each of the plurality of alerts by a machine learning model, generating a prioritized listing of the plurality of alerts based on the generated scores, receiving user feedback on the prioritized listing, retraining the machine learning model based on the user feedback by generating a set of labeled alert pairs, wherein a labeled alert pair includes a first alert, a second alert, and an indication as to which of the first alert or the second alert is a higher priority in accordance with the user feedback, and evaluating subsequently received alerts with the retrained machine learning model.

Abstract: A method includes determining, by an analysis system, a system aspect of a system for an issue response analysis evaluation. The method further includes determining, by the analysis system, at least one evaluation perspective and at least one evaluation viewpoint for use in performing the issue response analysis evaluation on the system aspect. The method further includes obtaining, by the analysis system, issue response analysis data regarding the system aspect in accordance with the at least one evaluation perspective and the at least one evaluation viewpoint. The method further includes calculating, by the analysis system, an issue response analysis rating as a measure of system issue response analysis maturity for the system aspect based on the issue response analysis data, the at least one evaluation perspective, the at least one evaluation viewpoint, and at least one evaluation rating metric.

Abstract: Detecting execution hazards in offloaded operations is disclosed. A second offload operation is compared to a first offload operation that precedes the second offload operation. It is determined whether the second offload operation creates an execution hazard on an offload target device based on the comparison of the second offload operation to the first offload operation. If the execution hazard is detected, an error handling operation may be performed. In some examples, the offload operations are processing-in-memory operations.

Abstract: Concepts and technologies are disclosed herein for providing a network virtualization policy management system. An event relating to a service can be detected. A first policy that defines allocation of hardware resources to host the virtual network functions can be obtained, as can a second policy that defines deployment of the virtual network functions to the hardware resources. The hardware resources can be allocated based upon the first policy and the virtual network functions can be deployed to the hardware resources based upon the second policy.