Abstract: A control system is described which receives a live data steam of time stamped sensor data observed from a system. The control system accesses a store of time-stamped sensor data from the live data stream. A plurality of pipeline configurations is generated for analyzing the live data stream. Each pipeline configuration comprises a plurality of components for analyzing data, an order of the components, and values of one or more parameters of each component. The pipeline configurations are evaluated by applying the pipeline configurations to data from the store. A ground truth selector is configured to receive user input comprising ground truth data being labeled data items from the store of time-stamped sensor data. The pipeline configurations are re-evaluated using the ground truth data to select one of the pipeline configurations. Control is achieved using output of the selected one of the pipeline configurations executing on the live data stream.

Abstract: A stream processing execution engine evaluates development-time performance characteristic estimates in combination with run-time parameters to schedule execution of stream processing software components in a stack of a stream processing application that satisfy a defined performance criterion in a heterogeneous hardware device. A stream processing application includes a stack of interdependent stream processing software components. A stream processing execution engine evaluates one or more performance characteristics of multiple computational resources in the heterogeneous hardware device. Each performance characteristic is associated with performance of a computational resource in executing a computational-resource-dependent instance of a stream processing software component. The stream processing execution engine schedules within the run-time environment a computational resource on which to execute a computational-resource-dependent instance of one of the stream processing software components.

Abstract: A stream processing execution engine evaluates development-time performance characteristic estimates in combination with run-time parameters to schedule execution of stream processing software components in a stack of a stream processing application that satisfy a defined performance criterion in a heterogeneous hardware device. A stream processing application includes a stack of interdependent stream processing software components. A stream processing execution engine evaluates one or more performance characteristics of multiple computational resources in the heterogeneous hardware device. Each performance characteristic is associated with performance of a computational resource in executing a computational-resource-dependent instance of a stream processing software component. The stream processing execution engine schedules within the run-time environment a computational resource on which to execute a computational-resource-dependent instance of one of the stream processing software components.