Abstract:
A system for streamlining a network management system (NMS) includes scanning, via a mobile device, a code on a hardware or software component; and determining, via the mobile device, whether the hardware or software component is a network component (NC), based on the scanned code. The hardware or software component may be a call manager, server, client device, interface card, repeater, hub, bridge, switch, router, or firewall, for example.
Abstract:
Described herein are devices and methods for calculating a network sustainability index (NSI) and providing specific remediation/action plans to achieve better sustainability in network infrastructures. The NSI is calculated based on one or more of three main parameters: a reporting parameter, an optimization parameter, and/or a device energy efficiency rating. The reporting parameter may evaluate the capability of each device to report its power consumption, considering factors such as granularity, component-level reporting, and reporting frequency. The optimization parameter may assess whether a device participates in network energy optimization. The device energy efficiency rating may evaluate the energy efficiency of each device. A recommendation portal offers actionable insights and remediation plans based on the calculated NSI. The devices and methods allow administrators to list eligible devices for energy optimization, ensuring a comprehensive approach to network sustainability and facilitating targeted measures for improved energy efficiency.
Abstract:
Described herein are devices and methods for calculating a network sustainability index (NSI) and providing specific remediation/action plans to achieve better sustainability in network infrastructures. The NSI is calculated based on one or more of three main parameters: a reporting parameter, an optimization parameter, and/or a device energy efficiency rating. The reporting parameter may evaluate the capability of each device to report its power consumption, considering factors such as granularity, component-level reporting, and reporting frequency. The optimization parameter may assess whether a device participates in network energy optimization. The device energy efficiency rating may evaluate the energy efficiency of each device. A recommendation portal offers actionable insights and remediation plans based on the calculated NSI. The devices and methods allow administrators to list eligible devices for energy optimization, ensuring a comprehensive approach to network sustainability and facilitating targeted measures for improved energy efficiency.
Abstract:
A plurality of data sets are compiled in a memory. A first data set comprises a location mapping of an item of interest within a predetermined environment, and a second set comprises energy usage data within the predetermined environment. The first data set is correlated, via a processor, with the second data set to locate a subset of energy usage data in the second data set associated with the item of interest. A third data set is generated by combining the first data set with the subset of energy usage data in the second data set to increase an accuracy of the location mapping of the item of interest based upon the subset of energy usage data. The third data set is applied to a computing resource.
Abstract:
Presented herein are methodologies for implementing a system and apparatus to estimate a network disruption index and undertake a mitigation action accordingly. A method includes calculating a network disruption index based on at least a disruption score associated with a service request measure, an end-of-life measure, a security incident response measure and a return material authorization measure for respective hardware devices in a network, comparing the network disruption index to a predetermined threshold, and when the network disruption index is above the predetermined threshold, identifying one or more of the hardware devices in the network for a mitigation action and implementing the mitigation action.
Abstract:
A network function (NF) entity in a communication network receives authentication data associated with a User Equipment (UE), determines the UE supports a blockchain registration procedure based on the authentication data, exchanges authentication messages with a Blockchain Roaming Broker (BRB) entity over a blockchain network interface, receives a blockchain authentication confirmation from the BRB entity, and registers the UE with the core network based on the blockchain authentication confirmation.
Abstract:
A network slice manager receives a workload mobility request to add network resources to a domain in the communication network, and authenticates a virtual network function (VNF) with a blockchain authentication function (BAF) over a blockchain network interface based on the workload mobility request. The network slice manager further receives an indication of a successful authentication from the BAF, and instantiates the VNF in the domain of the communication network based on the indication of the successful authentication. Notably, these authentication processes may be readily adapted to instantiate new network resources or migrate existing network resources between domains.
Abstract:
A system for streamlining a network management system (NMS) includes scanning, via a mobile device, a code on a hardware or software component; and determining, via the mobile device, whether the hardware or software component is a network component (NC), based on the scanned code. The hardware or software component may be a call manager, server, client device, interface card, repeater, hub, bridge, switch, router, or firewall, for example.
Abstract:
The present technology addresses a need in the art for an automated tool that allows users to create network-based custom workflows for networks and associated management applications. The users do not need to have in-depth network knowledge to work with the tool or even write any code/script. The tool provides the users with a flexible graphical user interface for automated troubleshooting, network provisioning, and closed-loop automation. Further, the tool uses a domain-independent semantic machine reasoning engine as an underlying engine and a mock data engine to test and validate network-based workflows created by the users.
Abstract:
The present technology addresses a need in the art for an automated tool that allows users to create network-based custom workflows for networks and associated management applications. The users do not need to have in-depth network knowledge to work with the tool or even write any code/script. The tool provides the users with a flexible graphical user interface for automated troubleshooting, network provisioning, and closed-loop automation. Further, the tool uses a domain-independent semantic machine reasoning engine as an underlying engine and a mock data engine to test and validate network-based workflows created by the users.