An exemplary system for monitoring an operational area, includes a processor that receive plural data streams. Each data stream can include a different spatial characteristic of the operational area. The processor also generates a three-dimensional (3D) virtual visualization of the operational area based on observational perspectives associated with the data streams and their associated spatial characteristics and dynamically prioritizes operational sub-regions within the operational area based on the spatial characteristics. The processor generates a signal encoded with data for verifying the 3D virtual visualization of the operational area including the prioritized operational sub-regions.

An application and network analytics platform can capture telemetry from servers and network devices operating within a network. The application and network analytics platform can determine an application dependency map (ADM) for an application executing in the network. Using the ADM, the application and network analytics platform can resolve flows into flowlets of various granularities, and determine baseline metrics for the flowlets. The baseline metrics can include transmission times, processing times, and/or data sizes for the flowlets. The application and network analytics platform can compare new flowlets against the baselines to assess availability, load, latency, and other performance metrics for the application. In some implementations, the application and network analytics platform can automate remediation of unavailability, load, latency, and other application performance issues.

A monitoring system comprises a plurality of monitoring stations disposed in or associated with a respective rubbish bin housing or surround. Each monitoring station comprising an identifier, a sensor for monitoring the bin or a detectable quality of the environment in which the bin is located, a processor for receiving a signal from the sensor and a transmitter for transmitting the signal.

A method for data collection, processing, and utilization of signals with a platform monitoring at least a first element in a first machine in an industrial environment includes obtaining, automatically with a computing environment, at least a first sensor signal and a second sensor signal with a local data collection system that monitors at least the first machine and connecting a first input of a switch of the local data collection system to a first sensor and a second input of the switch to a second sensor in the local data collection system, switching between a condition in which a first output of the switch alternates between delivery of at least the first sensor signal and the second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal from the first output and the second sensor signal from a second output of the switch.

The present invention is applied to a distributed control system in which a plurality of control devices (a central control device, an individual control device, and the like) are connected via a network. For example, the central control device executes a start-up deadline determination processing for setting a start-up deadline in consideration of the performance of a device to be controlled, and communication processing for transmitting a packet including identification information of a command and information of the start-up deadline to the individual control device. For example, when receiving the packet transmitted from the central control device, the individual control device controls execution of the command on the device to be controlled on the basis of the start-up deadline included in the packet.

Techniques for fast startup for composite nodes in software-defined infrastructures (SDI) are described. A SDI system may include an SDI manager component, including one or more processor circuits to access one or more remote resources, the SDI manager component may including a node manager to determine, based upon one or more reservation tables stored in a non-transitory computer-readable storage medium, an initial set of resources for creating the composite node from among the one or more remote resources. The partition manager may create the composite node using the initial set of resources, the initial set of resources is a subset of resources required by the composite node. Other embodiments are described and claimed.

An application and network analytics platform can capture telemetry from servers and network devices operating within a network. The application and network analytics platform can determine an application dependency map (ADM) for an application executing in the network. Using the ADM, the application and network analytics platform can resolve flows into flowlets of various granularities, and determine baseline metrics for the flowlets. The baseline metrics can include transmission times, processing times, and/or data sizes for the flowlets. The application and network analytics platform can compare new flowlets against the baselines to assess availability, load, latency, and other performance metrics for the application. In some implementations, the application and network analytics platform can automate remediation of unavailability, load, latency, and other application performance issues.

A remote access and control system for test and measurement setups is provided. The remote access and control system comprises at least one virtual network, wherein the at least one virtual network is persistently defined as a set of test and measurement instruments and accompanying hardware.

A measurement cloud setup for coupling measurement device settings across multiple instruments and/or measurement sites is provided. The measurement cloud setup comprises an interface, through which the respective instruments and/or measurement sites being part of the coupling are defined.

A cloud-based system for making user data available on any platform device in a platform is provided. The cloud-based system comprises a cloud storage, and at least one user profile comprising the user data. In this context, the user data comprises data with respect to at least one measurement device and/or measurement site. Additionally, the at least one user profile is saved on the cloud storage.