A system includes non-transitory computer readable memory and a processor. The non-transitory computer readable memory stores a current processor interrupt priority level and a current disable interrupt control (DISICTL) interrupt priority level. The processor to update the current processor interrupt priority level based on respective interrupt priority levels associated with respective exceptions, and update the current DISICTL interrupt priority level based on a respective DISICTL instruction, wherein the respective DISICTL instruction specifies a respective user-definable DISICTL interrupt priority level. The processor determines a highest interrupt priority level between the current processor interrupt priority level and the current DISICTL interrupt priority level, and apply the highest interrupt priority level during execution of respective code.

Disclosed is a programming model utilized for the definition of services to be operated on large sets of data with numerous responsibilities, the programming model comprising program units in a tree topology for high performance and implicit concurrency control, where each program unit definition comprises responsibilities defined in behaviors and configurations. A runtime environment may be utilized to provide implicit concurrency, parallelization, and concurrency control for operations executed on program unit instances.

Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises receiving and storing input data from at least two users; calculating a risk score for each identified risk in the received data based on priority risk factors affecting respectively identified risks; dynamically optimizing a risk analysis of the received input for multiple users within a user interface of a computing device by recalculating risk scores based on the received data and identified risks; and generating a notification for the user interface of the computing device based on the dynamic optimization of the risk analysis of the received input.

Embodiments enable distributed data processing with automatic caching at multiple system levels by accessing a master queue of data processing work comprising a plurality of data processing jobs stored in a long term memory cache; selecting at least one of the plurality of data processing jobs from the master queue of data processing work; pushing the selected data processing jobs to an interface layer including (i) accessing the selected data processing jobs from the long term memory cache; and (ii) saving the selected data processing jobs in an interface layer cache of data processing work; and pushing at least a portion of the selected data processing jobs to a memory cache of a first user system for minimizing latency in user data processing of the pushed data processing jobs.

A computing system may implement a low priority arbitration interrupt method that includes receiving a message signaled interrupt (MSI) message from an input output hub (I/O hub) transmitted over an interconnect fabric, selecting a processor to interrupt from a cluster of processors based on arbitration parameters, and communicating an interrupt service routine to the selected processor, wherein the I/O hub and the cluster of processors are located within a common domain.

In an example implementation according to aspects of the present disclosure, a system comprising a processor and a memory. The memory comprises instructions that when executed cause the processor to receive a set of telemetry from client computing device. The processor applies a data model to the set of telemetry. The processor assigns a priority to an operating system recovery action based on the data modeling. The processor blocks the operating system recovery action based on the priority exceeding a first threshold.

A job execution scheduling system and associated methods are provided for accommodating a request for additional computing resources to execute a job that is currently being executed or a request for computing resources to execute a new job. The job execution scheduling system may utilize a decision function to determine one or more currently executing jobs to select for resizing. Resizing a currently executing job may include de-allocating one or more computing resources from the currently executing job and allocating the de-allocated resources to the job for which the request was received. In this manner, the request for additional computing resources is accommodated, while at the same time, the one or more jobs from which computing resources were de-allocated continue to be executed using a reduced set of computing resources.

An electronic device and a method for resuming a phased platform process in the electronic device includes switching a display that is included in the electronic device from an active state to a sleep state, detecting at least one event which internally occurs in the electronic device or is caused by an external device or a user in the case where the display is in the sleep state, executing a system process if the at least one event is detected, selecting one or more non-system processes related to one or more hardware or software components of the electronic device, respectively, on the basis of at least a part of the detected event, and executing the one or more selected non-system processes by activating the one or more hardware or software components of the electronic device that are related to the one or more selected non-system processes.

In non-limiting examples of the present disclosure, systems, methods and devices for filtering notifications are provided. A notification may be received. A current focus state of a user may be determined. An application priority score for the application that generated the notification may be determined. A notification priority score for the notification may be determined. The notification priority score may be determined based on a contact importance score and/or a content importance score. A combined priority score may be determined from the application priority score and the notification priority score. The notification may be surfaced if the combined priority score meets a threshold surfacing value. The notification may be blocked if the combined priority score does not meet the threshold surfacing value.

It is desired to try to increase the security of a computing system running computer applications that may access data in a data storage system. In some embodiments, a token associates a user with a task that is being executed by a computing node. It may therefore be possible to determine which user executed which tasks. In some embodiments, the validity of a token is tied to the lifespan of a task associated with the token, rather than to a fixed amount of time. Therefore, if the task associated with the token is complete, the token may become invalid, rather than remaining valid for a duration of time that possibly exceeds the lifespan of the associated task. In some embodiments, a token is used to enforce data access control, e.g. to deny certain users access to certain data in the data storage system.