An information processing method, an Ethernet switching chip and a storage medium are provided. The method includes: executing, by a master IP core, one of following operations: updating a global information table of the master IP core according to first information corresponding to the information processing request, and sending the first information to each slave IP core; updating a dedicated information table of the master IP core according to second information corresponding to the information processing request, or, sending, to a corresponding slave IP core, third information corresponding to the information processing request; or acquiring fourth information from the global information table or the dedicated information table of the master IP core based on the information processing request and sending the fourth information to a processor, or, acquiring fifth information from a corresponding slave IP core and sending the fifth information to the processor.

An information processing method, an Ethernet switching chip and a storage medium are provided. The method includes: executing, by a master IP core, one of following operations: updating a global information table of the master IP core according to first information corresponding to the information processing request, and sending the first information to each slave IP core; updating a dedicated information table of the master IP core according to second information corresponding to the information processing request, or, sending, to a corresponding slave IP core, third information corresponding to the information processing request; or acquiring fourth information from the global information table or the dedicated information table of the master IP core based on the information processing request and sending the fourth information to a processor, or, acquiring fifth information from a corresponding slave IP core and sending the fifth information to the processor.

A personal area network that includes a wearable electronic device, a system and methods of using the personal area network that includes a wearable electronic device. The wearable electronic device can act as an aggregator of the data that is being acquired by the one or more sensors and from other devices that are within wireless signal range of the personal area network in order to send some or all of the data over a wireless low power wide area network to remote locations within a larger network for subsequent processing, user notification, analysis of location-determination, contact tracing or the like. Data may flow in a bidirectional manner between the wearable electronic device and at least some of the other devices within the personal area network. In one form, the aggregated data may be used to provide information related to one or more operational parameters of an industrial asset and, if necessary, take control-based action in order to adjust one or more such operational parameters. In one form, a communication network formed by the wearable electronic device is used within an industrial setting in order to perform such data acquisition, processing and related control.

A personal area network that includes a wearable electronic device, a system and methods of using the personal area network that includes a wearable electronic device. The wearable electronic device can act as an aggregator of the data that is being acquired by the one or more sensors and from other devices that are within wireless signal range of the personal area network in order to send some or all of the data over a wireless low power wide area network to remote locations within a larger network for subsequent processing, user notification, analysis of location-determination, contact tracing or the like. Data may flow in a bidirectional manner between the wearable electronic device and at least some of the other devices within the personal area network. In one form, the aggregated data may be used to provide information related to one or more operational parameters of an industrial asset and, if necessary, take control-based action in order to adjust one or more such operational parameters. In one form, a communication network formed by the wearable electronic device is used within an industrial setting in order to perform such data acquisition, processing and related control.

A method obtains service request information identifying computing device nodes invoked by users. Based on the service request information, sets of computing device nodes are identified, each set of computing device nodes includes computing device nodes invoked simultaneously or sequentially by one of the users. Communities are further identified based on a probability measure that is a measure of a probability of co-occurrence of two sets of computing device nodes. Each community has sets of computing device nodes each having the probability measure over a probability threshold in relation to at least one other set of computing device nodes in the community. Solutions are predicted for provision of services of the sets of computing device nodes of the communities. Each predicted solution for provision of services relates to a community and is determined based on shared knowledge of predicted solutions for provision of services relating to other communities.

Techniques are described by which a network management system (NMS) is configured to generate and monitor an RSSI-based proximity zone for a wireless network using a user interface (UI). The NMS may generate a UI comprising UI elements representing access point (AP) devices configured to provide a wireless network at a site; receive, at the user interface, an indication of a user input selecting one or more UI elements representing selected AP devices; establish a proximity zone for each of the selected AP devices based on an RSSI threshold value; receive network data comprising proximity information of a client device relative to the selected AP devices; generate, based on proximity assessments using the proximity information and the RSSI threshold value of the proximity zone, one or more proximity events indicating the client device relation to the proximity zone; and invoke, based on the proximity events, one or more actions.

System and method for device constellation according to certain embodiments. For example, a method for device constellation, the method includes the steps of: receiving a request, the request including a plurality of request parameters; decomposing the request into one or more tasks; selecting one or more edge devices based at least in part on the plurality of request parameters; assigning the one or more tasks to the one or more selected edge devices to cause the one or more selected edge devices to perform the one or more tasks; and receiving one or more task results from the one or more selected edge devices.

System and method for device constellation according to certain embodiments. For example, a method for device constellation, the method includes the steps of: receiving a request, the request including a plurality of request parameters; decomposing the request into one or more tasks; selecting one or more edge devices based at least in part on the plurality of request parameters; assigning the one or more tasks to the one or more selected edge devices to cause the one or more selected edge devices to perform the one or more tasks; and receiving one or more task results from the one or more selected edge devices.

A method includes partitioning a set of configuration management (CM) data for one or more cellular network devices into multiple distinct time intervals, each time interval associated with a distinct set of CM settings at the one or more cellular network devices, the CM data comprising multiple CM parameters. The method also includes determining a regression model based on the set of CM data. The method also includes applying the regression model to compute a distinct set of scores and compare the set of scores to estimate whether a performance of the one or more cellular network devices has changed during a second time interval relative to a first time interval.

In one or more embodiments, the disclosed systems, methods, and media include utilizing a crosswalk algorithm to identify controls (e.g., cybersecurity controls) across frameworks, and for utilizing identified controls to generate cybersecurity risk assessments. A cybersecurity module may identify one or more controls in a data structure. The process may utilize a crosswalk algorithm to determine a relatedness between the identified controls and different controls of different frameworks. The process may update the data structure with selected different controls, such that a more robust set of controls are identified when the cybersecurity module indexes into the data structure to identify particular controls. Additionally, the process may generate a risk assessment for a device/software. The process may generate a risk score for the risk assessment, and the risk score may be based on a determined compliance level for each control determined to be related to a defined risk of interest.