An application program management method and apparatus, and a non-transitory computer-readable storage medium are disclosed. The application program management method may include: determining a current extra inspection policy for a target application program according to a current running type of the target application program in response to a determination that a freezing detection of the target application program is required; determining a current inspection policy corresponding to the target application program based on a basic inspection policy corresponding to the target application program and the current extra inspection policy; and freezing the target application program in response to a determination that a running state of the target application program satisfies the current inspection policy.

Systems and methods may aggregate and organize implicit and explicit initialization, reset, and termination operations defined throughout the hierarchy of an executable. The systems and methods may analyze the model and identify implicit and explicit initialization, reset, and termination operations defined at various hierarchical levels. The systems and methods may aggregate the implicit and explicit initialization, reset, and termination operations into an initialize callable unit, a reset callable unit, and a termination callable unit. The systems and methods may apply optimizations to the callable units, and resolve conflicts. The systems and methods may define a single entry point for each of the initialize, reset, and termination callable units.

In an edge computing system deployment, a system includes memory and processing circuitry coupled to the memory. The processing circuitry is configured to obtain a workflow execution plan that includes workload metadata defining a plurality of workloads associated with a plurality of edge service instances executing respectively on one or more edge computing devices. The workload metadata is translated to obtain workload configuration information for the plurality of workloads. The workload configuration information identifies a plurality of memory access configurations and service authorizations identifying at least one edge service instance authorized to access one or more of the memory access configurations. The memory is partitioned into a plurality of shared memory regions using the memory access configurations. A memory access request for accessing one of the shared memory regions is processed based on the service authorizations.

Methods, apparatus, systems, and articles of manufacture are disclosed to aggregate telemetry data in an edge environment. An example apparatus includes at least one processor, and memory including instructions that, when executed, cause the at least one processor to at least generate a composition for an edge service in the edge environment, the composition representative of a first interface to obtain the telemetry data, the telemetry data associated with resources of the edge service and including a performance metric, generate a resource object based on the performance metric, generate a telemetry object based on the performance metric, and generate a telemetry executable based on the composition, the composition including at least one of the resource object or the telemetry object, the telemetry executable to generate the telemetry data in response to the edge service executing a computing task distributed to the edge service based on the telemetry data.

A machine can be accessed and controlled with the help of an interface device. The customizable interface device contains device elements that define features relating to the external representation and internal functionality of the interface device, as linked to one or more machines. An operator can use a configuration station to implement single or reoccurring queries that interact with the interface device and corresponding machines. In particular, the queries target the configuration of device elements in the interface device. The process can include temporarily unloading unused features from active memory and mirroring property changes initialized by a source. An emulator can assist in the configuration process by providing a preliminary software representation of the interface device hardware. A user can develop, test, and reconfigure functions on the emulator before loading the finalized platform to the interface device.

An information processing apparatus includes: a creating unit that creates, from a first application which a person with a first authority is able to invalidate, a second application which a person with a second authority is able to invalidate; and an invalidating unit that invalidates the second application according to a predetermined condition when the first application is invalidated.

A method for management of an artificial intelligence development platform is provided. The artificial intelligence development platform is deployed with instances of a plurality of model services, and each of the model services is provided with one or more instances. The method includes: acquiring calling information of at least one model service; determining the activity of the at least one model service according to the calling information; and at least deleting all instances of the at least one model service in response to that the determined activity meets a first condition.

A computer-implemented method and system for reducing the amount of memory space required to store applications written in dynamic scripting languages loads a program module into memory and removes a category of program code, such as debug information or function definitions, from the program module. The method and system also receives a request for debug information, or a function call or query, and determines whether or not the corresponding program code is in memory. If not, then the location in storage is identified where the program module is stored, and another copy containing the corresponding program code is loaded into memory. The corresponding program code is located and copied into the program module in memory, and a response is provided to the request.

Provided are an application management method, a storage medium, and an electronic apparatus. The method includes: collecting a plurality of characteristic information of an application; learning the plurality of characteristic information to obtain a self-organizing neural network model of the application; calculating a first characteristic coefficient of the application; determining a second characteristic coefficient from the characteristic coefficient matrix according to the first characteristic coefficient; and judging whether the application can be cleaned up according to the second characteristic coefficient.

The present disclosure provides a method and an apparatus for application communication and a storage medium. The specific implementation scheme is: in a process of a first application in a vehicle machine needing to control a second application, the first application may send a notification message including a key-value pair to a second application through a state machine in the vehicle machine, so that when the second application receives a notification message sent by the first application through a state machine, a corresponding operation may be performed by the key-value pair in the notification message.