A system according to this invention is directed to a virtual network system that selects a virtual network function of an appropriate version and prevents a malfunction of a virtual network when an operator is to provide a virtual network service based on virtual network functions. The virtual network system includes an instructor that instructs activation or change of a virtual network function preregistered and providing one of functions included in a virtual network service, a confirmation unit that confirms that the virtual network function instructed to be activated or changed is appropriate, based on version information added at a time of registering the virtual network function, and a setting unit that sets, when the confirmation unit confirms that the virtual network function instructed to be activated or changed is appropriate, the instructed virtual network function as the one of the functions included in the virtual network service.

In an example embodiment, a specialized software object, called a behavior toggle, is utilized for stateful applications in cloud environments. The behavior toggle, once enabled and used by an entity, is not able to be disabled anymore for that entity, other than by explicit migration. Unlike feature toggles, whose values are expressed using “true” or “false” flags or the like, behavior toggles are enabled by specific version. Specifically, the value indicates which version of the behavior is enabled. The behavior toggle software objects may then be referenced by, or included in, other software objects, to utilize the behavior toggle software objects with the other software objects and have the behavior toggle be applied to the other software objects.

Disclosed herein are systems and methods for installing a personalized application on a mobile device. In one aspect, an exemplary method comprises, identifying an application distribution source by analyzing settings of an operating system of the mobile device that were changed as a result of obtaining an application from the application distribution source, selecting resources for the application that correspond to the identified application distribution source when a resource database from which the selection is being performed contains at least one resource corresponding to the identified application distribution source, creating the personalized application by reconfiguring the application obtained from the application distribution source based on the selected resources, and installing, on the mobile device, the created personalized application.

A method for loading multiple versions of the same native library in a native runtime environment. In one embodiment, the method comprises cloning a native library workspace with a first version number as a cloned native library; applying a namespace across the cloned native library; injecting a macro into source code associated with the cloned native library; adding a dependency to the cloned native library in source code associated with the native runtime environment; and registering the first version number in a project configuration of the native runtime environment.

Systems and methods for precomputing data and storing cache objects corresponding to the precomputed data are described. A system creates a new cache object when a user interacts with the system. The system precomputes formulas in the newly created cache object by replacing the formulas with corresponding calculated values. The system precomputes the formulas in the background (i.e., the user is not presented with the precomputed values while the user is manipulating the data). The system may persistently store a precomputed version cache object in a dedicated version cache storage for later use. If updates are performed to the structure and/or values of a version represented in a precomputed version cache object, effected parts of the version cache object are invalidated by replacing calculated values with the underlying formulas.

In some examples, a computing device is able to communicate with a plurality of data clusters. For example, a first data cluster may be configured with a first version of data cluster software including a first library version, and a second data cluster may be configured with a second version of data cluster software including a second library version that is different from the first. The computing device may execute a single instance of an application to send, based at least on information in the first library version, to the first data cluster, a request for first data, and may receive the first data from the first cluster. Further, the computing device may send, based at least on information in the second library version, second data that is based on the first data to the second data cluster to store the second data with the second data cluster.

A database of deployed configurations, as well as attempted configurations that failed is maintained and used as reference to compare against configurations of attempted software deployments. Upon detecting a failed deployment, disclosed embodiments search the database for working configurations that most closely resemble the failed configuration, and rank the configurations based on various criteria. Disclosed embodiments may then automatically select a highest ranked working configuration, and perform an automatic upgrade of the necessary components to create a working configuration.

The present disclosure is generally related to a data processing system to selectively invoke applications for execution. A data processing system can receive an input audio signal and can parse the input audio signal to identify a command. The data processing system can identify a first functionality of a first digital assistant application hosted on the data processing system in the vehicle and a second functionality of a second digital assistant application accessible via a client device. The data processing system can determine that one of the first functionality or the second functionality supports the command. The data processing system can select one of the first digital assistant application or the second digital assistant application based on the determination. The data processing system invoke one of the first digital assistant application or the second digital assistant application based on the selection.

A data structure (e.g., field, method parameter, or method return value) is defined by a descriptor to be of a particular type, which imposes a first set of restrictions on values assumable by the data structure. Separately, the data structure is associated with a type restriction that defines a second set of restrictions that further restricts the values assumable by the data structure. The descriptor and type restriction are encoded separately in a program binary. Responsive to identifying a value for the data structure that (a) is not forbidden by the first set of restrictions defined the descriptor and (b) is forbidden by the second set of restrictions defined by the type restriction, a runtime environment may perform a restrictive operation, such as: blocking storage of the value to a field; blocking passing of the value to a method parameter; or blocking return of the value from a method.

An electronic device and method are disclosed. The electronic device includes a communication unit, a display, a memory and a processor. The processor implements the method, including analyzing activity of an application to identify at least one function of the application added, deleted or altered by an update to the application, and controlling the display to display at least one item selectable to provide additional information corresponding to the identified at least one new function.