Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to manage process excursions. An example apparatus includes a digital twin comparer to determine when a product fails to satisfy a tolerance metric of a digital twin, and a fingerprint manager to generate a fingerprint corresponding to a sensor pattern. The example apparatus also includes a node interfacer to determine a number of workstations of a process control system that exhibit the fingerprint, and an excursion statistics calculator to invoke a corrective action for respective ones of the number of workstations, the corrective action based on a threshold count of the number of workstations that exhibit the fingerprint.

Abstract: A non-transitory computer-readable storage medium, an apparatus, and a computer-implemented method. The computer-readable storage medium is of an edge computing system and is to identify a target edge node for deployment of a workload thereon. The computer-readable storage medium further comprises computer-readable instructions that, when executed, cause at least one processor to perform operations comprising: determining whether respective ones of candidate target edge nodes of a set of candidate target edge nodes of the edge computing system support workload determinism key performance indicators (KPIs) of the workload; in response to a determination that one or more candidate target edge nodes support the workload determinism KPIs, selecting a target edge node from the one or more candidate edge nodes; and causing the workload to be deployed at the target edge node.

Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to change a time sensitive networking schedule implemented by a softswitch are disclosed. Example apparatus disclosed herein to change a time sensitive networking schedule implemented by a first softswitch on a compute node include a network node configurator to deploy a second softswitch on the compute node based on a first configuration specification associated with the first softswitch, configure the second softswitch to implement an updated time sensitive networking schedule different from the time sensitive networking schedule implemented by the first softswitch, and replace the first softswitch with the second softswitch in response to a determination that a first set of constraints is met for simulated network traffic processed by the second softswitch based on the updated time sensitive networking schedule.

Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to change a time sensitive networking schedule implemented by a softswitch are disclosed. Example apparatus disclosed herein to change a time sensitive networking schedule implemented by a first softswitch on a compute node include a network node configurator to deploy a second softswitch on the compute node based on a first configuration specification associated with the first softswitch, configure the second softswitch to implement an updated time sensitive networking schedule different from the time sensitive networking schedule implemented by the first softswitch, and replace the first softswitch with the second softswitch in response to a determination that a first set of constraints is met for simulated network traffic processed by the second softswitch based on the updated time sensitive networking schedule.

Abstract: A non-transitory computer-readable storage medium, an apparatus, and a computer-implemented method. The computer-readable storage medium is of an edge computing system and is to identify a target edge node for deployment of a workload thereon. The computer-readable storage medium further comprises computer-readable instructions that, when executed, cause at least one processor to perform operations comprising: determining whether respective ones of candidate target edge nodes of a set of candidate target edge nodes of the edge computing system support workload determinism key performance indicators (KPIs) of the workload; in response to a determination that one or more candidate target edge nodes support the workload determinism KPIs, selecting a target edge node from the one or more candidate edge nodes; and causing the workload to be deployed at the target edge node.

Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to change a time sensitive networking schedule implemented by a softswitch are disclosed. Example apparatus disclosed herein to change a time sensitive networking schedule implemented by a first softswitch on a compute node include a network node configurator to deploy a second softswitch on the compute node based on a first configuration specification associated with the first softswitch, configure the second softswitch to implement an updated time sensitive networking schedule different from the time sensitive networking schedule implemented by the first softswitch, and replace the first softswitch with the second softswitch in response to a determination that a first set of constraints is met for simulated network traffic processed by the second softswitch based on the updated time sensitive networking schedule.

Abstract: Methods, systems, articles of manufacture and apparatus to control data acquisition settings in edge-based deployments are disclosed. An example apparatus includes a model generator to transform sensor data to variance data, and differentiate the variance data to generate variance rate of change data. The example apparatus also includes a model analyzer to determine subsets of the variance rate of change data associated with respective data acquisition settings, determine a count of data points corresponding to the rate of change data, and determine an interval spacing value based on the count of the data points and a number of subsets of the variance rate of change data.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to manage process excursions. An example apparatus includes a digital twin comparer to determine when a product fails to satisfy a tolerance metric of a digital twin, and a fingerprint manager to generate a fingerprint corresponding to a sensor pattern. The example apparatus also includes a node interfacer to determine a number of workstations of a process control system that exhibit the fingerprint, and an excursion statistics calculator to invoke a corrective action for respective ones of the number of workstations, the corrective action based on a threshold count of the number of workstations that exhibit the fingerprint.