Patent classifications
G06F2209/482
METHOD AND SYSTEM FOR CONTROLLING AN APPLICATION FEATURE BASED ON SYSTEM METRICS
Computer-implemented methods, systems, and computer program products for controlling application feature processing based on central processing unit (CPU) usage and/or feature requirement to apply the application feature are disclosed. The computer-implemented method for controlling application feature processing based on central processing unit (CPU) usage to apply the application feature includes monitoring system metrics for availability of system resources; determining availability of system resources required to perform the particular application feature; determining if the particular application feature is to be applied based on the determination of the availability of system resources; and applying the particular application feature based on results of the determination of the availability of system resources.
Selecting a version of an application
Described embodiments provide systems and methods for selecting a version of an application to launch for a client device according to a context of the client device. A computing device can receive a request from a client device to launch an application. The request can include an identifier that indicates multiple versions of the application are accessible in which to launch the application. The computing device can select, using the identifier, a version of the application according to a context of the client device. The computing device can provide the client device with access to the selected version of the application, so as to enable the client device to launch a version of the application compatible with the context of the client device.
Parallel execution of applications
In an approach, a processor, responsive to requesting to perform a plurality of applications including a first application and a second application, determines that the first application and the second application have been performed sequentially during a previous time period. A processor, responsive to determining that the first and second applications have been performed in sequence during the previous time period, obtains, a first set of database operations associated with the first application and a second set of database operations associated with the second application. A processors, responsive to determining that the first set of database operations and the second set of database operations are free of conflict, generates an execution schedule indicating that the first application and the second application are to be performed in parallel. A processors performs the plurality of applications based on the execution schedule.
AUTOMATIC GENERATION OF CONVERGENT DATA MAPPINGS FOR BRANCHES IN AN INTEGRATION WORKFLOW
In an approach to improve integration workflows by automatically generating convergent data mappings for branches in an integration workflow using a computer. A branch schema for each branch is generated, wherein the branch schema represents the union of all the individual node output schemas on the branch. A common output schema for a convergence point is generated, wherein the common output schema represents an intersection of all the branch schemas and generates branch mappings from each branch node to the common output schema.
CONTROLLING INVOCATIONS OF A SOFTWARE COMPONENT BASED ON ESTIMATION OF RESIDUAL CAPABILITY THEREOF
A solution is proposed for controlling invocations of a target component by multiple source components in a software application. A corresponding method comprises associating a plurality of source components in a software application with one or more corresponding source rates for invoking a target component in the software application; monitoring corresponding invocations of the target component by a number of instances of the plurality of source components; receiving an enablement request for a new invocation of the target component from a current instance of a current source component; verifying an enablement of the new invocation; estimating a serving probability indicative of a residual capability of the target component to serve the new invocation; and enabling the new invocation according to the serving probability.
Background processing in a web browser
A system for executing a software program comprises: a display device for displaying a web based GUI of the software program; and a hardware processor adapted for executing in a web browser a code comprising: executing, in a worker thread that is not a primary thread executing code implementing the web based GUI, a client instruction identified in the primary thread for background processing; while the worker thread executes: displaying in a graphical object of the web based GUI data retrieved from a data structure associated with an outcome of executing the client instruction, where the data structure contains temporary data; and modifying another graphical object of the web based GUI in response to a user instruction received by a user selecting a selectable object of the web based GUI; and modifying the graphical object of the web based GUI when the contents of data structure is modified.
Electronic device and method for displaying history of executed application thereof
Disclosed is an electronic device that includes a display that outputs execution screens of a plurality of applications, a memory that stores the plurality of applications, and a processor electrically connected with the display and the memory. The processor retrieves a history of one or more applications among the plurality of applications that were previously executed in the electronic device, in response to a user input detected by the electronic device and outputs the history on the display based on information about the one or more applications and information about layouts of execution screens of the one or more applications. If at least one of the one or more applications is selected from the history, the processor outputs an execution screen of the selected application on the display according to the corresponding layout.
Simplifying data mapping in complex flows by defining schemas at convergence points in a workflow
A computer-implemented method comprising: receiving, by a computing device, user input defining a workflow; receiving, by the computing device, information defining schemas at convergence points in the workflow; determining, by the computing device, a set of mapping parameters at outputs of nodes of the workflow based on the schemas; receiving, by the computing device, input values to the mapping parameters; storing, by the computing device, the input values to the mapping parameters in a structure corresponding to the schemas; and executing, by the computing device, the workflow based on the input values to the mapping parameters, wherein the executing includes invoking one or more applications residing on one or more application servers through application programming interface (API) calls.
HIERARCHICAL ASYMMETRIC CORE ATTRIBUTE DETECTION
Within a processing system, thread count asymmetries manifest when one or more cores of a processing device are disabled. To determine such thread count asymmetries, discovery operations are performed to determine thread count asymmetries for one or more hierarchy levels of a processing device based on a number of threads per enumerated instance within the hierarchy level. In response to the determining a thread count asymmetry, one thread identifier for each enumerated instance within the asymmetric hierarchy level is defined to determine a representation of the asymmetry. Using the representation of the symmetry, software tasks associated with one or more application within the processing system are performed.
Reinforcement learning techniques for selecting a software policy network and autonomously controlling a corresponding software client based on selected policy network
Techniques are disclosed that enable automating user interface input by generating a sequence of actions to perform a task utilizing a multi-agent reinforcement learning framework. Various implementations process an intent associated with received user interface input using a holistic reinforcement policy network to select a software reinforcement learning policy network. The sequence of actions can be generated by processing the intent, as well as a sequence of software client state data, using the selected software reinforcement learning policy network. The sequence of actions are utilized to control the software client corresponding to the selected software reinforcement learning policy network.