Systems and methods for monitoring a robotic process automation (RPA) system are provided. Job execution data for one or more jobs in the RPA system is determined based on logs of the RPA system. The job execution data for the one or more jobs in the RPA system is caused to be displayed in substantially real time.

A resource management technology is disclosed that may be applied to a host, where the host includes a Central Processing Unit (CPU), an endpoint connected to the CPU, and an Input/Output (I/O) device connected to the endpoint. A method includes: allocating, by the CPU, a target endpoint to a target process, where a virtual device is disposed on the target endpoint; obtaining, by the target endpoint, a performance specification of the target process, and adjusting a performance parameter of the virtual device according to the performance specification, where the adjusted virtual device satisfies requirements of performance specifications of all processes that use the target endpoint; and when the target process needs to access a resource, obtaining, from the I/O device, a resource that satisfies the performance specification of the target process, and providing the obtained resource to the target process for use.

A method for handling a relative priority based scheduling procedure in an electronic device. The method includes receiving at least one task, from an application, to access a first core from a plurality of cores in the electronic device. Further, the method includes determining a relative priority with at least one second core from the plurality of cores in the electronic device based on the at least one task. Further, the method includes scheduling the at least one task in the first core from the plurality of cores in the electronic device based on the relative priority.

Techniques for determining worst-case execution time for at least one application under test are disclosed using memory thrashing. Memory thrashing simulates shared resource interference. Memory that is thrashed includes mapped memory, and optionally shared cache memory.

Systems and methods for monitoring a robotic process automation (RPA) system are provided. Job execution data for one or more jobs in the RPA system is determined based on logs of the RPA system. The job execution data for the one or more jobs in the RPA system is caused to be displayed in substantially real time.

Systems and methods are disclosed to implement a distributed query execution system that performs statistical operations on specified time windows over time-based datasets. In embodiments, the query system splits a statistical function into a set of parallel accumulator tasks that correspond to different portions of the dataset and/or function time windows. The accumulator tasks are executed in parallel by individual accumulator nodes to generate individual statistical result structures. The structures are then combined by an aggregator node to produce an aggregate result structure that indicates the results of the statistical function over the time windows. In embodiments, the accumulator and aggregator tasks are implemented and executed using a programmable task execution framework that allows developers to define custom accumulator and aggregator tasks. Advantageously, the query system allows queries with time-windowed statistical functions to be parallelized across a group of worker nodes and scaled to very large datasets.

A method includes monitoring a job being executed at the source mainframe. A job comprises multiple tasks. A method includes monitoring a particular task of the multiple tasks being executed at a source mainframe and determining an application required to execute the particular task. In response to determining that the particular task requires an application to execute, determining a target mainframe where the application is installed. A method further includes validating the environment of the target mainframe to confirm that the particular task can be executed using the target mainframe, and upon validating the target mainframe, redirecting the particular task to the target mainframe for execution. A method also includes monitoring the particular task being executed at the target mainframe and returning the results of the particular task from the target mainframe to the source mainframe.

A method and system for backup processes that includes identifying a target volume and identifying a number of available threads to back up the target volume. The elements in the target volume are distributed among the available threads based on a currently pending size of data in the threads. The elements are stored from each thread into a backup container, and merged from each of the backup containers into a backup volume.

A service management platform can implement functionality for one or more services, each of which can be independently used by a plurality of clients of the services. To activate the functionality of the one or more of the services, a hub server of the service management platform can assign a set of tasks to individual node servers for execution. The hub server can operate in a “supervisor environment” distinct from the processing environment used to execute the computationally intensive portions of the tasks. A task received at a node server can be managed by a supervisor process within the supervisor environment and executed by a native process within a native operating system environment, where the native process executes the computationally intensive calculations of the task and supervisor process provides communications and data transfer between the native process and rest of the service management platform.

The procedure includes referring to data including information on an operation task performed with respect to each of a plurality of devices, the data being associated with each of the plurality of devices, extracting a first device in which a number of operation tasks performed during a specific period satisfies a criterion, displaying the information on the operation task performed during the specific period with respect to the first device, in association with the first device, upon receiving designation of a time or a first time zone, referring to the data, extracting a second device in which the number of operation tasks performed in a second time zone depending on the time or the first time zone satisfies a criterion, and displaying the information on the operation task performed in the second time zone with respect to the second device, in association with the second device.