Abstract: Certain aspects and features provide generation or simulation of sensory data that would otherwise come from Internet-of-things (IoT) sensors in reproducible and controllable way. Thus, the response of a system to very large numbers of sensors can be tested without acquiring and deploying a very large number of sensors for test and development purposes. In some examples, a processing device coupled to a network interface identifies a stored function of time describing a locally sensed property for a simulated sensor. The locally sensed property corresponds to at least one event taking place in a virtual environment. The processing device can determine values of an input variable produced by the stored function of time. The values can be wrapped in a communication protocol to produce messages that are transmitted over the network interface.

Abstract: Deployment code that identifies a desired deployment of a computer application onto a computing system comprising one or more compute instances is accessed. The computer application includes a plurality of computing components to be deployed on the one or more compute instances in accordance with the deployment code. Contents of the deployment code are input into a machine learning model (MLM) that has been trained using: a plurality of previously generated deployment codes that identified corresponding desired deployments of corresponding computer applications, and information that identifies successes or failures associated with attempted deployments of the previously generated deployment codes. An output is received from the MLM. Based on the output from the MLM, information indicative of a likelihood of success of deploying the deployment code is sent to a destination.

Abstract: Parameters associated with a distributed network are received. A topology of a virtual network that corresponds to the distributed network is generated in view of the received parameters. The topology of the virtual network is configured to simulate the distributed network and a simulation of the distributed network is executed using the configured virtual network.

Abstract: Responses of software applications to spatiotemporal events can be tested using simulated environments. In one example, a system can generate a simulated environment having simulated distributed devices positioned at various spatial locations in the simulated environment. The system can then simulate a spatiotemporal event propagating through the simulated environment by modifying a device simulation property of each simulated distributed device based on the spatiotemporal event and a respective spatial location of the simulated distributed device in the simulated environment. This can produce simulation outputs impacted by the spatiotemporal event. The system can then provide the simulation outputs as input to a target software application to test a response to the spatiotemporal event by the target software application.

Abstract: Certain aspects and features provide generation or simulation of sensory data that would otherwise come from Internet-of-things (IoT) sensors in reproducible and controllable way. Thus, the response of a system to very large numbers of sensors can be tested without acquiring and deploying a very large number of sensors for test and development purposes. In some examples, a processing device coupled to a network interface identifies a stored function of time describing a locally sensed property for a simulated sensor. The locally sensed property corresponds to at least one event taking place in a virtual environment. The processing device can determine values of an input variable produced by the stored function of time. The values can be wrapped in a communication protocol to produce messages that are transmitted over the network interface.

Abstract: Certain aspects and features provide generation or simulation of sensory data that would otherwise come from Internet-of-things (IoT) sensors in reproducible and controllable way. Thus, the response of a system to very large numbers of sensors can be tested without acquiring and deploying a very large number of sensors for test and development purposes. In some examples, a processing device coupled to a network interface identifies a stored function of time describing a locally sensed property for a simulated sensor. The locally sensed property corresponds to at least one event taking place in a virtual environment. The processing device can determine values of an input variable produced by the stored function of time. The values can be wrapped in a communication protocol to produce messages that are transmitted over the network interface.

Abstract: Dependency information can be used for automatic sequencing of software tests. For example, a computing device can receive dependency information indicating dependency relationships among software tests usable to test a target software item. The computing device can determine assignments of the software tests to different testing phases in a sequence of testing phases based on the dependency information. This may involve the computing device assigning each software test to a particular testing phase based on whether the software test is a dependency of or is a dependent on another software test, such that each testing phase in the sequence of testing phases is assigned a unique subset of software tests. The computing device can then generate an output indicating the assignments of the software tests to the different testing phases in the sequence of testing phases.

Abstract: Responses of software applications to spatiotemporal events can be tested using simulated environments. In one example, a system can generate a simulated environment having simulated distributed devices positioned at various spatial locations in the simulated environment. The system can then simulate a spatiotemporal event propagating through the simulated environment by modifying a device simulation property of each simulated distributed device based on the spatiotemporal event and a respective spatial location of the simulated distributed device in the simulated environment. This can produce simulation outputs impacted by the spatiotemporal event. The system can then provide the simulation outputs as input to a target software application to test a response to the spatiotemporal event by the target software application.

Abstract: Responses of software applications to spatiotemporal events can be tested using simulated environments. In one example, a system can generate a simulated environment having simulated distributed devices positioned at various spatial locations in the simulated environment. The system can then simulate a spatiotemporal event propagating through the simulated environment by modifying a device simulation property of each simulated distributed device based on the spatiotemporal event and a respective spatial location of the simulated distributed device in the simulated environment. This can produce simulation outputs impacted by the spatiotemporal event. The system can then provide the simulation outputs as input to a target software application to test a response to the spatiotemporal event by the target software application.

Abstract: Certain aspects and features provide generation or simulation of sensory data that would otherwise come from Internet-of-things (IoT) sensors in reproducible and controllable way. Thus, the response of a system to very large numbers of sensors can be tested without acquiring and deploying a very large number of sensors for test and development purposes. In some examples, a processing device coupled to a network interface identifies a stored function of time describing a locally sensed property for a simulated sensor. The locally sensed property corresponds to at least one event taking place in a virtual environment. The processing device can determine values of an input variable produced by the stored function of time. The values can be wrapped in a communication protocol to produce messages that are transmitted over the network interface.

Abstract: Parameters associated with a distributed network are received. A topology of a virtual network that corresponds to the distributed network is generated in view of the received parameters. The topology of the virtual network is configured to simulate the distributed network and a simulation of the distributed network is executed using the configured virtual network.

Abstract: Responses of software applications to spatiotemporal events can be tested using simulated environments. In one example, a system can generate a simulated environment having simulated distributed devices positioned at various spatial locations in the simulated environment. The system can then simulate a spatiotemporal event propagating through the simulated environment by modifying a device simulation property of each simulated distributed device based on the spatiotemporal event and a respective spatial location of the simulated distributed device in the simulated environment. This can produce simulation outputs impacted by the spatiotemporal event. The system can then provide the simulation outputs as input to a target software application to test a response to the spatiotemporal event by the target software application.

Abstract: This invention relates to a composition and method for producing a surface layer with a high specific surface on iron, aluminum, zinc, and on technical alloys of these metals. The composition provides an adhesive layer that may be subsequently used to securely bind other materials, and organic materials in particular, to the surface of the metal or alloy. The composition may be applied by spraying under pressure, by dipping, or as a paste at ambient temperatures. The composition is predominantly amorphous, and provides a uniform, stable, and economical method of priming metals for the reception of a final outer coating.