An example method of detecting device malfunctions at a subject device includes: obtaining a device event indicator representing an event detected at a device sensor of the subject device; obtaining an external event indicator representing an external event detected by an environmental sensor, the external event occurring external to the subject device; and identifying a device malfunction at the subject device based on the device event indicator and the external event indicator.

Methods, systems, and computer readable media for health checking involving common application programming interface (API) framework (CAPIF) are disclosed. One example method for health checking using CAPIF comprises: at a CAPIF node including at least one processor: receiving, from a sender, a CAPIF request message including health check information usable in checking the health of an endpoint associated with the sender, wherein the health check information includes a uniform resource identifier (URI) associated with the endpoint and an acceptable response value for indicating that the endpoint is active; and determining, periodically or aperiodically, a health status of the endpoint by performing a health check procedure using the URI and the acceptable response value.

In some embodiments, the present disclosure provides an exemplary method that may include the steps of providing a computing device associated with a plurality of user; receiving output data transmitted from a target unit; analyzing the output data; transmitting a plurality of interaction commands; transmitting the plurality of interaction commands to an application or operating system; determining a plurality of identifying key words; dynamically determining a configuration screen image based on an identification of the plurality of identifying key words associated with the plurality of graphical user interface displays; automatically selecting a configuration setting associated with the plurality of interactive image elements based on the configurations screen image; and executing a plurality of ameliorative actions associated with the configuration setting.

The disclosed embodiments disclose techniques for journaling data received in a cloud-based distributed computing environment (CBDCE). Multiple services simultaneously execute on the CBDCE compute nodes, with each service comprising multiple service instances that simultaneously execute on multiple, distinct compute nodes of the CBDCE. The CBDCE includes a distributed database that enables coordination between the service instances of services that execute in the CBDCE; this distributed database also includes multiple distributed database instances that simultaneously executing on multiple different CBDCE compute nodes. During operation, a service instance executing on one of these compute nodes receives a client request. The service instance submits this client request to a distributed database instance and, in parallel, also submits the client request and its associated user data to a distributed journaling service.

In general, embodiments relate to a method for providing solutions to hardware component failures, comprising: creating a device state chain using a device state path, a current device state, and a next device state for a device; identifying root cause of a hardware component failure in the device using the device state chain; performing a context-aware search in a shared storage using the root cause of the hardware component failure; and obtaining, in response to the context-aware search, a result specifying a proposed solution for the hardware component failure.

Provided is a method, a computer program product, and a system for providing perfect forward secrecy in virtual machines. The method includes receiving a secure memory allocation function from an application, including a connection secret to be stored in memory. The method further includes allocating memory for the connection secret according to the memory size parameter and storing an entry relating to the connection secret in a secure database. The memory information includes a memory location and a memory size of the memory. The method also includes monitoring an operation state relating to the virtual machine. The method further includes receiving, from the application, a secure deallocation function relating to the connection secret and retrieving the memory information from the secure database. The method also includes deleting the connection from the memory and sanitizing the memory location logged by the memory information.

A method includes receiving a request from a vehicle to perform a computing task, selecting a machine learning model from among a plurality of machine learning models based at least in part on the request, and predicting an amount of computing resources needed to perform the computing task using the selected machine learning model.

A data storage system includes a plurality of storage devices organized as a redundant array of inexpensive disks (RAID) storage array and a RAID controller. The RAID controller monitors the plurality of storage devices in the RAID storage array. The RAID controller also detects that a host read request of a host has a latency exceeding a latency threshold. Based on the monitoring, the RAID controller determines whether a proactive rebuild of a data requested by the host read request in absence of a data error would likely be beneficial to performance. Based on determining that a proactive rebuild of the data requested by the host read request would likely be beneficial to performance, the RAID controller initiates the proactive rebuild of the data and sends the requested data to the host.

A system-on-a-chip sharing a graphics processing unit supporting multi-master is provided. A system on chip (SoC) comprises a plurality of central processing units (CPUs) for executing at least one operating system, a graphics processing unit (GPU) that is connected to each of the plurality of CPUs via a bus interface and communicates with each of the plurality of CPUs, and at least one state monitoring device that is selectively connected to at least one CPU among the plurality of CPUs and transmits execution state information of at least one operating system executed in the connected CPU to the GPU. The GPU is shared by at least one operating system and controls a sharing operation by the at least one operating system based on the execution state information of the at least one operating system.

A real-time computer network application in the aeronautic industry for in-flight reconfiguring of the integrated modular avionics modules onboard aircraft, via spatial and temporal partitioning of modules conforming a data processing system including a computer-implemented method for in-flight Integrated Modular Avionics reconfiguration, a data processing system for the mentioned reconfiguration, a computer program product and a computer-readable medium, both to perform such reconfiguration.