A method, a system, and computer program product for application function library installation for cloud-based systems. An application function in a plurality of application functions is executed. The application function is executed using a server instance running in a container. A determination is made that execution of the application function requires an application function library. The application function library for executing of the application function is obtained. The obtained application function library is loaded during runtime of the application function.

A computer-implemented method, non-transitory, computer-readable medium, and computer-implemented system are provided for executing a smart contract in a blockchain network. The computer-implemented method includes, in response to determining that a smart contract is deployed on a blockchain node in a blockchain network comprising a plurality of blockchain nodes, starting, by the blockchain node, to turn a bytecode of the smart contract into a machine code of the smart contract through Just-In-Time (JIT) compilation; storing, by the blockchain node, the machine code of the smart contract locally; performing a determination of whether the machine code of the smart contract is stored locally by the blockchain node and a number of blockchain nodes storing the machine code of the smart contract in the blockchain network is not less than a predetermined number; and executing, by the blockchain node, the smart contract based on the determination.

A method of generating a user interface for presentation to a user. The method comprises executing a first application computer program to provide a user interface, executing agent computer program code to interrogate and modify said user interface during execution of said first application computer program, and presenting said modified user interface. The first application computer program may be run on a server, while the modified user interface may be presented to a user at a client connected to said server.

Embodiments of processors, methods, and systems for a processor core supporting processor identification instruction spoofing are described. In an embodiment, a processor includes an instruction decoder and processor identification instruction spoofing logic. The processor identification spoofing logic is to respond to a processor identification instruction by reporting processor identification information from a processor identification spoofing data structure. The processor identification spoofing data structure is to include processor identification information of one or more other processors.

In various embodiments, a network emulation application emulates network conditions when testing a software application. In response to a request to emulate a first set of network conditions for a first client device that is executing the software application, causing a kernel to implement a first pipeline and to automatically input network traffic associated with the first client device to the first pipeline instead of a default bridge. In response to a request to emulate a second set of network conditions for a second client device that is executing the software application, causing the kernel to implement a second pipeline and to automatically input network traffic associated with the second client device to the second pipeline instead of the default bridge. Each of the pipelines perform one or more traffic shaping operations on at least a subset of the network traffic input into the pipeline.

According to this invention, it is possible to reduce the load of the user in a work of operating a model described in a hardware description language, and allow the user to readily make a change. This invention provides an information processing apparatus including a hardware processor that emulates, by hardware, operations corresponding to a model described in a hardware description language, and a control unit that controls, in accordance with instructions of a user received from a user terminal, at least one of inputs to the hardware processor and outputs from the hardware processor.

The present disclosure relates to a system, method, and computer program for providing an ultra-high availability cloud emulator of an entity's data in a multi-tenant SaaS environment that is not controlled by the entity. The system extracts metadata related to the entity's data and user interface in the multi-tenant SaaS environment. The metadata is used to identify and extract data records for an entity from the multi-tenant SaaS environment, as well as to ascertain functional aspects of the entity user interface in the multi-tenant SaaS environment. A cloud emulator of the entity's data records and user interface in the multi-tenant SaaS environment is created using the extracted data records and metadata, where the cloud emulator is outside the multi-tenant SaaS environment. The entity is able to access the cloud emulator at the entity's discretion as a failover for the entity's data records in the multi-tenant SaaS environment and to modify the entity's data records in the cloud emulator.

A method for emulating execution of a file includes emulating execution of the instructions of a file on a virtual processor of an emulator. The execution of the instructions is halted in response to an invocation of an API function. A determination is made whether the invoked API function is present in the updatable modules of the emulator. The updatable modules contain implementation of API functions. In response to determining that the invoked API function is present in the updatable modules, execution of the invoked API function is emulated according to corresponding implementation contained in the updatable modules. Otherwise, result of execution of the invoked API function is generated by executing a corresponding virtual API function on a processor of a computing device.

A method, a system, and computer program product for application function library installation for cloud-based systems. An application function in a plurality of application functions is executed. The application function is executed using a server instance running in a container. A determination is made that execution of the application function requires an application function library. The application function library for executing of the application function is obtained. The obtained application function library is loaded during runtime of the application function.

Methods and systems for accomplishing a mission using a plurality of unmanned vehicles can include graphically describing the mission tasks at a graphical user interface (GUI) using Business Process Model Notation (BPMN), and translating the graphical description into extensible machine language (XML) formatted robot operating system (ROS) instructions, which can be understood by each of the plurality of unmanned vehicles with a translator. An execution engine transmits the XML ROS instructions to a respective local controller on the respective unmanned vehicle. The BPMN graphical descriptor symbols can allow for planning of a mission by an end user that does not have expertise in the ROS domain, and that does not have an understanding of the ROS construct. The execution engine can provide feedback back to the GUI regarding mission execution. Based on the feedback, the graphical description can be modified while the mission is being accomplished.