A discovery application on a computing system is provided. The discovery application receives a user input, which is for discovery of resources associated with a cloud operating system of a cloud computing system. The user input includes an authentication credential and account information associated with the cloud operating system. Based on the received input, the discovery application executes a discovery pattern comprising operations for the discovery of resources. The cloud operating system includes a group of services to access such resources. At least one of the operations corresponds to an API call to an API endpoint associated with a service of the group of services. The discovery application receives a response to the API call from the cloud operating system. The response includes a payload of information associated with the resources. The discovery application updates, based on the received response, one or more configuration items in a configuration management database.

A user experience workflow may be configured based on input received for various object types selectively arranged within the user experience workflow and then bound to a destination identifier, such as a telephone number or web address. A user interface of software for configuring a user experience workflow is presented at a user device and input from that user device is used to selectively arrange objects within a user experience workflow and/or to configure objects thereof. After configurations are applied to the objects, the user experience workflow is bound to the destination identifier. An end user device which accesses the destination identifier (e.g., by calling the telephone number, visiting the web address, or using an application connecting to the web address) may then traverse the user experience workflow, including in some cases having configured content presented thereto.

Disclosed are various examples of device and management service integration using a device connector service that acts as a proxy. The device connector service can receive a device communication that is relayed by a device connector client executed on an edge device. The device communication includes device connector authentication data, and a device identifier for a device. The device communication is modified into a modified device communication that includes management service authentication data, and a management unique device identifier (UDID) that is different from the device identifier. The device connector service transmits the modified device communication to a management service.

Provided are a network data collection method, device and system. The network data collection method includes the following. A source Network Data Analytics Function (NWDAF) sends a network function data collection request to a target NWDAF, where the network function data collection request includes a data collection assistance parameter of at least one network function from which data collection is requested. The source NWDAF receives a network function data collection response sent by the target NWDAF, where the network function data collection response includes network data fed back by the at least one network function.

Easy and correct estimation of a relationship between entities is made possible. An entity relationship estimation apparatus that estimates a relationship between a plurality of entities each executing a process is configured to include: a window-based correlation and traffic volume estimation unit that acquires traffic data of a plurality of entities, and calculates correlation values in one or more windows of a predetermined time width of each traffic data of at least one entity pair; and a relationship type estimation unit that estimates a type of relationship between entities of the entity pair based on the correlation values of the windows of the entity pair.

A method includes identifying, by a first server, a set of servers in an edge data center, discovering details of a plurality of components of each corresponding server of the set of servers, updating inventory of the set of servers based on at least the details of the plurality of components of each corresponding server of the set of servers, and performing health checks on the set of servers according to a health check frequency. The first server is connected to the set of servers by a switch. Performing the health checks includes detecting a removal of a second server from the set of servers, detecting an addition of the second server to the set of servers, detecting an addition of a new component in the second server, or detecting a replacement of a failed component in the second server in response to detecting a failure of the failed component.

A computing system identifies a plurality of virtualization elements executing on a cloud computing environment. The computing system retrieves a first set of data related to software resources executing across the plurality of virtualization elements. The computing system retrieves a second set of data related to hardware resources associated with the plurality of virtualization elements. The computing system retrieves delta updates to the first set of data, wherein the delta updates are retrieved in real-time. The computing system generates a first database. The first database includes the first set of data related to the software resources, the second set of data related to the hardware resources associated with the plurality of virtualization elements, and the delta updates. The computing system generates a configuration management database hosted by a configuration management database system.

[Problem] A transmission system, an apparatus management server, a failure management method, and a program enabling the cause of a failure associated with a silent change of an article to be swiftly identified are provided. [Solution] An apparatus management server 100 of a transmission system includes a collection unit configured to collect history information on an introduction instance of articles to an optical transmission apparatus 10 and an information analysis unit 130 configured to visualize and display, based on the history information collected, a graph in which a starting date of use for each of the articles is associated with the number of introductions of the article.

Methods and systems for resource usage metric grading are disclosed. In one embodiment, an exemplary method comprises receiving a request to assign a first role to at least one virtual server; configuring the virtual server to associate the first role with a first resource of the virtual server; modifying a database to include an identifier associated with the virtual server and an identifier of the first role assigned to the virtual server; receiving, from the virtual server, indications of resource usage for a plurality of roles; calculating an efficiency metric associated with the first role, the efficiency based on resource usage associated with the first role and resource usage associated with the plurality of roles; modifying a user interface element for presentation on a web page to include the calculated efficiency metric for the first role; receiving a request from a user; and delivering the web page.

A blockchain consortium network can be implemented in which nodes of one or more blockchains generate data for pipeline-based processing by a consortium pipeline system. The generated data can include private blockchain data, public blockchain data, and machine data, such as logs or operational metrics from the nodes. The data is collected from different network levels and can be transformed via pipeline processes of the consortium pipeline system to securely share data in the blockchain consortium network.