Obtaining location metadata for network devices using augmented reality (AR) is disclosed herein. In one embodiment, an AR computing device receives first user inputs indicating boundary points of a device region, and determines first spatial coordinates for each boundary point. The AR computing device next receives a second user input that indicates a network device within the device region, and determines second spatial coordinates for the network device. The AR computing device may also correlate the network device with a known connected network device. The AR computing device then transmits, to a server computing device, first metadata that includes the first spatial coordinates and an identifier of the device region, and second metadata that includes the second spatial coordinates and an identifier of the indicated network device. In some embodiments, the metadata may be employed, e.g., to generate a floorplan visualization and/or a signal strength map of the device region.

An infrastructure management subsystem receives a selection of a planned configuration of the computing infrastructure and a baseline demand that includes a current usage of computing resources of the computing infrastructure. The infrastructure management subsystem determines an anticipated turbulence. The anticipated turbulence includes a quantitative indication of anticipated fluctuations in future infrastructure demand as a function of time. The infrastructure management subsystem determines an effective turbulence for the planned infrastructure configuration. The effective turbulence includes a quantitative indication of anticipated fluctuations in future infrastructure availability. The infrastructure management subsystem determines a configuration score corresponding to an extent to which the anticipated fluctuations in the effective turbulence destructively interfere with the anticipated fluctuations in the anticipated turbulence.

Disclosed techniques provide just-in-time error detection and correction within a multi-edit session. The multi-edit session may have a scope definition across a subset of devices within a network, each device having a set of network configuration parameters. The system may be implemented, in part, by obtaining a restricted grammar language (RGL) rule set derived from devices on the network within and outside of the edit scope. After detecting an indication of an edit to configuration information, the techniques may compare the edit (e.g., unsaved or saved change) to the RGL. Based on detection of a suspect entry, information may be presented to a user of the multi-edit session. The information may include suggestions or corrections relative to user edits (e.g., just-in-time). The suggestions or corrections may be derived using the RGL based on consistency of the proposed edit with respect to information utilized to generate the RGL.

Described is a system (and method) that provides the ability to create an endpoint to allow cloud-based components to access services directly using network infrastructure of a cloud system. To provide such an ability, access connections from components of a production system to the cloud system may be monitored to derive a storage service and a datastore based on portions of a domain name. The derived storage service and datastore are then used to determine configuration settings required to automatically create a service endpoint. The service endpoint may then be deployed within the cloud system allowing the cloud-based component to access the storage service directly. Accordingly, the system provides the ability to automatically configure and deploy service endpoints by leveraging information derived from monitoring network access connections between a production environment and a cloud environment.

In an example, a method includes receiving, by a network management system (NMS), a configuration request comprising first configuration data for a network device, the first configuration data defining a data structure comprising a first property/value pair; generating, by the NMS from the first configuration data, a corresponding first path/value pair for the first property/value pair, wherein a path of the first path/value pair uniquely identifies the first path/value pair in an associative data structure; modifying, by the NMS, the associative data structure based on the first path/value pair; generating, by the NMS, from the associative data structure, a configuration resource comprising second configuration data for the network device, the second configuration data comprising a second property/value pair that corresponds to the first path/value pair; and sending, by the NMS, the second configuration data to the network device to modify a configuration of the network device.

A device, system and method for changing a topology of a geographically distributed system is provided. One or more computing devices determine resource usage of an initial topology of a geographically distributed system that includes data stored at one or more initial locations and applications, that consume the data, being implemented at the one or more of initial locations. The computing device(s) determine projected resource usage of additional topologies of the geographically distributed system, the additional topologies defining respective locations, different from the one or more initial locations, where respective portions of the data and/or the applications are located. In response to an additional topology having a respective projected resource usage that is less than the resource usage of the initial topology, the computing device(s) control a respective portion of the data and/or the applications to move to the respective locations defined by the additional topology.

A processor may identify one or more requirements based on a specific field. The processor may capture the one or more requirements. The one or more requirements may be based on a particular structure. The processor may orchestrate the one or more requirements based on respective requests of the one or more requirements. The processor may store the orchestration of the one or more requirements as respective artifacts.

A method of configuring a cloud server resource, an electronic device and a storage medium, which specifically relate to a field of artificial intelligence technology, in particular to a field of cloud computing technology. A method of configuring a cloud server resource includes: obtaining an operation index of a server instance of an object; comparing the obtained operation index with a threshold; and determining whether a configuration of the cloud server resource is to be adjusted, based on a result of the comparing.

A method is provided for providing mobile device support services. The method may include monitoring a mobile device status. The method may additionally include performing device diagnostics based at least in part on captured deice status data to identify potential faults that may affect mobile device functionality. A corresponding system, apparatus, and computer program product are also provided.

There are provided an apparatus registration method capable of efficiently associating specific information about apparatuses and arrangement information about the apparatuses stored in an operation terminal, a program for implementing the method, and an apparatus system. A method for registration of luminaires associates a plurality of luminaires with items of arrangement information about the luminaires stored in an operation terminal for operating the luminaires. The method for registration of luminaires is adapted to include the steps of: consecutively reading at least two or more of items of specific information about the luminaires included in the luminaires using a RF reader; storing items of arrangement information about the luminaires into the operation terminal; and consecutively associating the at least two or more items of specific information consecutively read by the RF reader with at least two or more items of arrangement information among the items of arrangement information about the luminaires.