Abstract: Systems, apparatuses, and methods for implementing a safety monitor framework for a safety-critical computer vision (CV) application are disclosed. A system includes a safety-critical CV application, a safety monitor, and a CV accelerator engine. The safety monitor receives an input image, test data, and a CV graph from the safety-critical CV application. The safety monitor generates a modified image by adding additional objects outside of the input image. The safety monitor provides the modified image and CV graph to the CV accelerator which processes the modified image and provides outputs to the safety monitor. The safety monitor determines the likelihood of erroneous processing of the original input image by comparing the outputs for the additional objects with a known good result. The safety monitor complements the overall fault coverage of the CV accelerator engine and covers faults only observable at the level of the CV graph.

Abstract: Examples described herein utilize multi-layer neural networks, such as multi-layer recurrent neural networks to estimate message probability compute data based on encoded data (e.g., data encoded using one or more encoding techniques). The neural networks and/or recurrent neural networks may have nonlinear mapping and distributed processing capabilities which may be advantageous in many systems employing a neural network or recurrent neural network to estimate message probability compute data for a message probability compute (MPC) decoder. In this manner, neural networks or recurrent neural networks described herein may be used to implement aspects of error correction coding (ECC) decoders, e.g., an MPC decoder that iteratively decodes encoded data.

Abstract: Described herein are techniques for capturing data from devices to generate replays of sessions of a software application executed by the devices. The techniques use data obtained from the device to determine whether certain events in which a session replay is to be generated have occurred in a session of the software application. When occurrence of such an event is detected during the session of the software application, the techniques determine to trigger collection of session replay data. In this case, the session replay data may be stored and/or transmitted from the device for storage, and subsequently used to generate a session replay. If none of the events are detected, then session replay data may not be transmitted. Accordingly, the techniques can selectively allocate resources (e.g., compute, storage, and/or communication resources) for sessions in which events are detected.

Abstract: A vehicle control device includes a controller configured to control an actuator and generate state information representing a state of the actuator, a request arbitration unit configured to arbitrate requests from a plurality of application execution units, and a request generation unit configured to generate a drive request signal to the controller. The controller includes a detection unit configured to detect whether or not the request arbitration unit is abnormal, a first transmission unit configured to transmit the state information to the request arbitration unit, and a second transmission unit configured to, when the detection unit detects that the request arbitration unit is abnormal, transmit the state information to the application execution units such that the state information does not pass through the request arbitration unit.

Abstract: A quality score for a computer application release is determined using a first number of unique users who have launched the computer application release on user devices and a second number of unique users who have encountered at least once an abnormal termination with the computer application release on user devices. Additionally or optionally, an application quality score can be computed for a computer application based on quality scores of computer application releases that represent different versions of the computer application. Additionally or optionally, a weighted application quality score can be computed for a computer application by further taking into consideration the average application quality score and popularity of a plurality of computer applications.

Abstract: Techniques for generating supplemental information based on runbook operation results are disclosed. A system generates and displays supplemental information for a runbook execution interface based on one of a system component associated with an executable operation of a runbook, and a set of runbook operation results corresponding to the executable operation. The system receives a user input to execute an operation defined by a runbook presented to remediate an event. The system generates supplemental information for the runbook execution interface based on the results of the operation executed by the user. The system identifies characteristics associated with the runbook operation results and identifies sources for additional information. Source may include performance data from the same component over a different period of time, performance data of a similar component, and performance data of topologically-connected components.

Abstract: A method for providing end-to-end monitoring of an application is disclosed. The method includes receiving, via a graphical user interface, a request to monitor the application, the request including information relating to the application; generating a service call based on the request, the service call relating to a synthetic transaction in a master configuration; scheduling the service call in the master configuration; generating a synthetic workflow based on the service call; executing the synthetic workflow based on a result of the scheduling; and capturing a metric from the executed synthetic workflow.

Abstract: Systems and methods for automated detection of website errors during a sequence of device interactions with a website. In one example, a computing device is configured to receive a website navigation sequence of a series of web page interactions between a client device and a website. The computing device can determine a predicted completion time for a next measurement of the client device executing the website navigation sequence. An actual completion time for the next measurement of the client device executing the website navigation sequence can be determined. Then, the computing device can determine an anomaly website event based on the actual competition time failing to meet a boundary threshold. The anomaly website event is determined to be a website error based on a second machine learning model being trained with a plurality of previous website errors identified from a plurality of previous website navigation sequences.

Abstract: Provided is an API adapter test system capable of easily determining the health of an API adapter. An API adapter test system 1 includes: an API adapter test assistance device 20 that assists a health determination test of a predetermined API adapter; a developer terminal 10; and a wholesale API simulation device 30.

Abstract: Technologies are described for establishing a connection to an IMDB (in-memory database) via a GUI, automatically detecting an IMDB version, and selecting at least one script from a plurality of scripts based on the detected IMDB version. Differences among the plurality of scripts can relate to data parameter differences in different IMDB versions. The selected at least one script to be executed returns data of a type recognized in the detected IMDB version.

Abstract: A merged infrastructure for manufacturing and lifecycle management of both hardware and software is disclosed. In various embodiments, a library comprising a superset of device drivers is stored, the superset including for each of a plurality of supported systems a corresponding set of device drivers for devices comprising that supported system. A context in which a processor is deployed is determined, the context being associated with a specific corresponding one of the plurality of supported systems. The library is used to provision based on the determined context at least a subset of devices accessible by the processor in the context in which the processor is deployed.

Abstract: Described embodiments provide systems and methods for displaying a service graph in association with a time of a detected anomaly. A device may store a plurality of snapshots of a service graph of a plurality of microservices. Each of the snapshots of the service graphs include metrics at a respective time increment from execution of each of the plurality of microservices. The device may detect an anomaly with operation of one or more microservices of the plurality of services. The device may identify a set of snapshots of the service graph within a predetermined time period of a time of the anomaly. The device may display each of the snapshots in the set of snapshots of in sequence corresponding to time increments within the predetermined time period of the time of the anomaly.

Abstract: In some examples, a computing device can include a processor resource and a non-transitory memory resource storing machine-readable instructions stored thereon that, when executed, cause the processor resource to: generate a model of activity for the computing device, determine a time period for performing a calculation based on the model, wherein the calculation utilizes performance metrics associated with the computing device, activate an agent at a start time of the time period to perform the calculation, send, by the agent, a result of the calculation to a remote computing device, and deactivate the agent in response to sending the result.

Abstract: Methods, systems, and devices for monitoring and reporting a status of a memory device are described. A memory device may include monitoring circuitry that may be configured to monitor health and wear information for the memory device. A host device may write to a dedicated register of the memory device, to configure the memory device with health status information reporting parameters. The memory device may monitor and report the health status information of the memory device based on the received reporting configuration or based on a default configuration, and may write one or more values indicative of the health status information to a dedicated register. The host device may perform a read on the readout register to obtain the health status information, as indicated by the one or more values, and may adjust operating procedures or take other actions based on the received health status information.

Abstract: A processor on a computing device executes a monitoring module to perform steps that include sending a request to a baseboard management controller in the computing device to search for an event in an event log maintained by the baseboard management controller. A response is received from the baseboard management controller in response to the request and is used with a current state of the monitoring module to determine whether to send an event message to a central controller located on a network to indicate that the computing device is malfunctioning.

Abstract: A learning method detects anomalies and is implemented on a microcontroller including at least one memory, the microcontroller being configured to receive data sets coming from at least one sensor, the memory being configured to store a maximum number of categories, a category including at least a signature and an occurrence.

Abstract: An approach is provided for implementing memory profiling aggregation. A hardware aggregator provides memory profiling aggregation by controlling the execution of a plurality of hardware profilers that monitor memory performance in a system. For each hardware profiler of the plurality of hardware profilers, a hardware counter value is compared to a threshold value. When a threshold value is satisfied, execution of a respective hardware profiler of the plurality of hardware profilers is initiated to monitor memory performance. Multiple hardware profilers of the plurality of hardware profilers may execute concurrently and each generate a result counter value. The result counter values generated by each hardware profiler of the plurality of hardware profilers are aggregated to generate an aggregate result counter value. The aggregate result counter value is stored in memory that is accessible by a software processes for use in optimizing memory-management policy decisions.

Abstract: A system includes a control device including a processor. The processor is configured to record a log into a log file, the log regarding information on an event having occurred in the system such that an operation state of the system at a point in time of the occurrence of the event is allowed to be specified as any of a plurality of operation states and an operation state different from the plurality of operation states. Here, the plurality of operation states correspond to a plurality of pieces of sequence processing previously defined. The processor is configured to extract the log from the log file, based on information designating a particular operation state as the operation state of the system, in units of operation states of the system such that the log includes information on an event having occurred in the particular operation state.

Abstract: A system and method for the structured automation of the delivery and operation of software functionality is proposed. A declarative notation approach is used to describe automation sequences independently from concrete automation tools and services that may be used to execute the automation sequences. An automation service abstraction layer is introduced that hides concrete automation service characteristics from the declarative automation definition layer. The service abstraction layer enables a transparent change or update of concrete automation service without affecting automation sequences that use the corresponding service abstractions. For operation automation, the automation execution may be combined with causation-capable monitoring systems that both identifies critical changes of operating conditions for which automated remediation is indicated and corresponding root cause changes for those critical changes.

Abstract: Error handling for resilient software includes: receiving data indicating a region of resilient memory; detecting an error associated with a region of memory; and preventing raising an exception for the error in response to the region of memory falling within the region of resilient memory by preventing the region of memory as being identified as including the error.