Abstract: Using real-time monitoring to inform static analysis, including: inspecting, using one or more static code analysis techniques, one or more components of a cloud deployment; detecting, using data gathered during the execution of the component in the cloud deployment, a condition; and modifying, based on the detected condition, the one or more static code analysis techniques.

Abstract: Using real-time monitoring to inform static analysis, including: inspecting, using one or more static code analysis techniques, one or more components of a cloud deployment; detecting, using data gathered during the execution of the component in the cloud deployment, a condition; and modifying, based on the detected condition, the one or more static code analysis techniques.

Abstract: Described is a framework (or technique or method) and system for providing a distributed computing network including different types of devices. The framework allows peer devices to transmit “packages” of information (e.g. messages) throughout the network as conceptual units of a job or data. The framework allows portable code, which is used to perform one or more jobs, to be transportable between peer devices. A device may transmit portable code describing a computation to another device, and the receiving device may then compile the code into executable form that is compatible with the architecture of the particular device. The compiled code may execute functions to perform one or more computations to fulfill job requests as part of a distributed computing protocol.

Abstract: Described is a framework (or technique or method) and system for providing a distributed computing network including different types of devices. The framework allows peer devices to transmit “packages” of information (e.g. messages) throughout the network as conceptual units of a job or data. The framework allows portable code, which is used to perform one or more jobs, to be transportable between peer devices. A device may transmit portable code describing a computation to another device, and the receiving device may then compile the code into executable form that is compatible with the architecture of the particular device. The compiled code may execute functions to perform one or more computations to fulfill job requests as part of a distributed computing protocol.

Abstract: Described is a framework (or technique or method) and system for providing a distributed computing network including different types of devices. The framework allows peer devices to transmit “packages” of information (e.g. messages) throughout the network as conceptual units of a job or data. The framework allows portable code, which is used to perform one or more jobs, to be transportable between peer devices. A device may transmit portable code describing a computation to another device, and the receiving device may then compile the code into executable form that is compatible with the architecture of the particular device. The compiled code may execute functions to perform one or more computations to fulfill job requests as part of a distributed computing protocol.