Abstract: A read-disturb-based read temperature information utilization system includes a read-disturb-based read temperature information utilization subsystem coupled to a storage subsystem including storage devices that each generate local read-disturb-based read temperature information associated with that storage device. The read-disturb-based read temperature information utilization subsystem retrieves at least some of the local read-disturb-based read temperature information generated by each storage device and a number of reads associated with that storage device and, based on the number of reads associated with each of the storage devices, normalizes the at least some of the local read-disturb-based read temperature information retrieved from each of the storage devices to generate normalized local read-disturb-based read temperature information for each of the storage devices.

Abstract: There are provided systems and methods for a compute platform for machine leaning model roll-out. A service provider, such as an electronic transaction processor for digital transactions, may provide intelligent decision-making through decision services that execute machine learning models. When deploying or updating machine learning models in these engines and decision services, a model package may include multiple models, each of which may have an execution graph required for model execution. When models are tested from proper execution, the models may have non-performant compute items, such as model variables, that lead to improper execution and/or decision-making. A model deployer may determine and flag these compute items as non-performant and may cause these compute items to be skipped or excluded from execution. Further, the model deployer may utilize a pre-production computing environment to generate the execution graphs for the models prior to deployment or upgrading.

Abstract: In an approach to improve detecting and correcting errors in one or more machine learning pipelines. Embodiments comprise generating a plurality of test machine learning pipeline instances based upon a target machine learning pipeline and evaluating the plurality of test machine learning pipeline instances for failure in a task. Further, embodiments identify one or more root causes of error based upon the evaluated plurality of test machine learning pipeline instances and failure in the task, and create a remediated target machine learning pipeline based upon the identified one or more root causes of error. Additionally, embodiments output the remediated machine learning pipelines.

Abstract: An apparatus of optimizing an alarm offset for an AUTomotive Open System Architecture (AUTOSAR) operating system, may include a start module configured to input an offset value of a predetermined offset table to an offset variable value for each alarm information related to an alarm setting test file; and an execution module configured to execute the alarm setting test file based on the input offset value and output an execution result for optimizing the alarm offset.

Abstract: A model validation system is described that is configured to automatically validate model artifacts corresponding to models. For a model artifact being validated, the model validation system is configured to dynamically determine the validation checks to be performed for the model artifact, where the validation checks include various validation checks to be performed at the model artifact level and also for individual components included in the model artifact. The checks to be performed are dynamically determined based upon the attributes of the model artifact and of the components within the model artifact. The system is configured to generate a validation report that comprises information regarding the checks performed and the results generated from performing the various validation checks. The validation report may also include information suggesting actions for passing checks that result in a failed check, or for improving the scores of certain validation checks.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for monitoring technology usage and performance. In some implementations, use of a technology item by one or more individuals assigned to use the technology item is monitored. Based on the monitoring, usage data that indicates usage of the technology item is generated. One or more criteria for evaluating the usage of the technology item by the one or more individuals is identified. It is determined whether usage data satisfies the one or more criteria. A system provides, for display on a user interface, output data indicating whether the usage data satisfies the one or more criteria.

Abstract: In an embodiment, a method for managing self-tests in an integrated circuit (IC) includes: receiving built-in-self-test (BIST) configuration data; configuring a first clock to a first frequency based on the BIST configuration data; performing a first BIST test at the first frequency; configuring a second clock to a second frequency that is different from the first frequency; and performing a second BIST test at the second frequency.

Abstract: An information handling system includes a memory and a baseboard management controller. The memory includes a recovery partition including a recovery kernel, a first boot partition including first firmware, and a second boot partition including backup firmware. The baseboard management controller (BMC) attempts a first boot operation of the first firmware in the first boot partition. In response to a failure of the first boot operation, the BMC attempts a second boot operation of the backup firmware in the second boot partition. In response to a failure of the second boot operation, the BMC operates a recovery kernel. During the operation of the recovery kernel, the BMC provides a firmware request to an enclosure controller, receives blocks of correct firmware from a functioning baseboard management controller, stores the blocks of correct firmware in the first boot partition, attempts and completes a third boot operation of the correct firmware.

Abstract: A method of data storage includes determining a latency distance from a primary node to each of two or more replica nodes, choosing a preferred replica node of the two or more replica nodes based on the determined latency distances, and write-caching data into the preferred replica node.

Abstract: The present invention discloses an offline debugging method, comprising: S01: obtaining interfaces which require return values in test flows of the test device; S02: setting the return value corresponding to each of the interfaces which require the return values, adding M debugging strategies and determining a debugging strategy required to be started; S03: compiling a configuration file comprises the M debugging strategies into an executable file required by the target platform; S04: setting up a virtual machine to fit the target platform, and transferring the executable file to the virtual machine; S05: invoking the test flow, returning the return value set by the debugging strategy corresponding to the interface which require the return value and obtaining an debugging result correspondingly. Therefore, the present invention solves a problem that debugging relays on hardware devices in semiconductor automation test, so as to reduce complexity and difficulty of debugging of a test device.

Abstract: A user interface testing system, method, and device for a vehicle under test (“VUT”). A test system is communicatively coupled to the VUT. A test system records outputs of at least one human-machine-interface (“HMI”) responsive to a first set of test cases and then scores the recorded HMI outputs responsive to the first set of test cases. The test system generates a second set of test cases and scoring criteria for the second set of test cases based on the received first set of test cases and the recorded HMI outputs responsive to the first set of test cases. The test system performs the second set of test cases on the HMI and records HMI outputs responsive to the second set of test cases. The test system assigns scores for the recorded HMI outputs responsive to the second set of test cases using the generated scoring criteria.

Abstract: A multivariate time series model such as a Vector Auto Regression (VAR) model is built using fabric utilization, disk utilization, and CPU utilization time series data. The VAR model leverages interdependencies between multiple time-dependent variables to predict the start and length of an aperiodic backup time window, and to cause backup operations to occur during the aperiodic backup time window to thereby exploit the aperiodic backup time window for use in connection with backup operations. By automatically starting backup operations during predicted aperiodic backup time windows where the CPU, disk, and fabric utilization values are predicted to be low, it is possible to implement backup operations during time windows where the backup operations are less likely to interfere with primary application workloads, or system application workloads that need to be implemented to maintain optimal operation of the storage system.

Abstract: One example includes an integrated circuit (IC). The IC includes non-volatile memory and logic. The logic is configured to receive repair code associated with a memory instance and assign a compression parameter to the repair code based on a configuration of the memory instance. The logic is also configured to compress the repair code based on the compression parameter to produce compressed repair code and to provide compressed repair data that includes the compressed repair code and compression control data that identifies the compression parameter. A non-volatile memory controller is coupled between the non-volatile memory and the logic. The non-volatile memory controller is configured to transfer the compressed repair data to and/or from the non-volatile memory.

Abstract: Systems and methods for performing user interface (UI) test automation may include receiving a document object model (DOM) associated with a web application, the web application having one or more web pages; generating a generic object representation of the web application based on the DOM using a page object model; generating a page object based on the generic page object representation in a first programing language; and storing the page object in the first programming language in a database to be accessed by test scripts associated with a UI test automation of the web application.

Abstract: A system described herein may provide a technique for the remote backup of a User Equipment (“UE”). An initiating device may be registered as being associated with the UE, and may initiate remote backups of the UE, without requiring user interaction at the UE. Different network backup policies may be specified in the request, such as a “Wi-Fi only” network backup request. If the UE is in a “lost” mode, a “damaged” mode, and/or is otherwise unusable or inaccessible, the specified network backup policy may be overridden, to ensure that the UE is backed up and the relevant device data may be recovered.

Abstract: A method for testing a, in particular safety-relevant, technical system, in particular encompassing software. The system is represented by a model encompassing at least two or more components. An assumption of a respective component regarding the safety-relevant system, and a guarantee of a respective component to the safety-relevant technical system, are specified by a safety contract. Executable program code is generated based on at least one assumption and based on at least one guarantee. The safety-relevant technical system is tested by executing the program code.

Abstract: This software wireless device comprises framework software that installs wireless communication software; and interface service software that is provided so as to be directly managed by an OS, and that manages a user interface service and the framework software. The framework software has user interface software, domain management software, hardware management software, and hardware control software. The interface service software issues a running status monitoring request to the user interface software and the domain management software, and determines that there is an abnormality if there is no response from the user interface software or the domain management software.

Abstract: A method includes accessing, by a computing device, an event machine of an application running on a user device; determining, by the computing device, an event polling stage of the event machine is occurring; measuring, by the computing device, an event polling stage time of the event polling stage; causing, by the computing device, a thread of the application to take a snapshot of the application in response to determining the event polling stage; measuring, by the computing device, a snapshot time for the snapshot of the application; determining, by the computing device, whether the snapshot time is less than or equal to the event polling stage time; causing, by the computing device, the thread of the application to take a new snapshot in response to determining a new event polling stage; and causing, by the computing device, an alternate thread of the application to take the new snapshot.

Abstract: A transient input/output in progress state is established during processing of an input/output testcase by a test infrastructure in a computing environment. The method includes obtaining the input/output testcase for an object having one or more pages, and processing the input/output testcase by the test infrastructure. Processing the input/output testcase by the test infrastructure includes, for a page of the object, generating a delay in the processing of the input/output testcase for the page of the object. The delay opens a transient input/output in progress state during which one or more concurrent test operations are to reference the page of the object.

Abstract: Described are techniques for evaluating technology add-ons used with a data intake and query system to identify errors that may be present in or associated with configuration files defining the functions of the technology add-on or with operation of the technology add-on. For example, the technology add-on may be used to provide searching of event data stored by the data intake and query system using a late-binding schema, where the technology add-on provides for formalized interpretation of non-standard event data according to a user- or vendor-defined scheme. The disclosed techniques can identify errors and determine if the technology add-on is compliant with a schema definition for a common information model.