Abstract: The present disclosure involves systems and methods for (a) model distributed applications for multi-cloud deployments, (b) derive, by way of policy, executable orchestrator descriptors, (c) model underlying (cloud) services (private, public, server-less and virtual-private) as distributed applications themselves, (d) dynamically create such cloud services if these are unavailable for the distributed application, (e) manage those resources equivalent to the way distributed applications are managed; and (f) present how these techniques are stackable. As applications may be built on top of cloud services, which themselves can be built on top of other cloud services (e.g., virtual private clouds on public cloud, etc.) even cloud services themselves may be considered applications in their own right, thus supporting putting cloud services on top of other cloud services.

Abstract: A computing device can determine the integrity of a blowout preventer in a well system using a model generated from real-time sensor data. For example, the computing device can receive predetermined values associated with how pressure decays or otherwise changes in a pressurization subsystem overtime. The pressurization subsystem can be for pressurizing the blowout preventer. The computing device can also receive, from a pressure sensor, real-time pressure measurements indicating pressures in the pressurization subsystem. The computing device can generate the model based on the predetermined values and the pressure measurements. The computing device can use the model to predict the pressure in the pressurization subsystem during a future period of time. The computing device can analyze aspects of the predicted pressure in the pressurization subsystem over the future period of time to determine if the blowout preventer is functioning properly.

Abstract: The present disclosure involves systems and methods for compiling abstract application and associated service models into deployable descriptors under control of a series of policies, maintaining and enforcing dependencies between policies and applications/services, and deploying policies as regularly managed policy applications themselves. In particular, an orchestration system includes one or more policy applications that are executed to apply policies to a deployable application or service in a computing environment. In general, the orchestration system operates to create one or more solution models for execution of an application on one or more computing environments (such as one or more cloud computing environments) based on a received request for deployment.

Abstract: The present disclosure involves systems and methods for (a) model distributed applications for multi-cloud deployments, (b) derive, by way of policy, executable orchestrator descriptors, (c) model underlying (cloud) services (private, public, server-less and virtual-private) as distributed applications themselves, (d) dynamically create such cloud services if these are unavailable for the distributed application, (e) manage those resources equivalent to the way distributed applications are managed; and (f) present how these techniques are stackable. As applications may be built on top of cloud services, which themselves can be built on top of other cloud services (e.g., virtual private clouds on public cloud, etc.) even cloud services themselves may be considered applications in their own right, thus supporting putting cloud services on top of other cloud services.

Abstract: The present disclosure involves systems and methods for compiling abstract application and associated service models into deployable descriptors under control of a series of policies, maintaining and enforcing dependencies between policies and applications/services, and deploying policies as regularly managed policy applications themselves. In particular, an orchestration system includes one or more policy applications that are executed to apply policies to a deployable application or service in a computing environment. In general, the orchestration system operates to create one or more solution models for execution of an application on one or more computing environments (such as one or more cloud computing environments) based on a received request for deployment.