A computing system includes processor(s) in a management network that serves an end-user network with agent instances. Server(s), such as a workforce management server or a communication distribution server, receive communications to the end-user network and assign agent instances to service the communications. The processor(s) perform tasks that include (a) receiving first data associated with the processes of the server(s), (b) determining, based on a specification defined by the end-user network, a first operation to be performed by the server(s), where the specification includes a first logical directive including at least one first condition that, if satisfied by the received first data, defines the first operation, (c) providing the first operation to the server(s), (d) determining rules-execution data, (e) analyzing the first data and/or the rules-execution data to identify at least one non-compliant statistical parameter, (f) determining a rules recommendation, and (g) providing the rules recommendation to the end-user network.

In an approach to improve the management of multi-cloud environment resources embodiments of the present invention execute provisioning and rerouting mechanisms to maintain continuity in the multi-cloud computing environment despite changes to one or more predetermined factors or an identified problem. Additionally, embodiments predict a future need of a system based on collected data and the executed provision and rerouting mechanisms and analyze use history within the multi-cloud computing environment. Moreover, embodiments identify one or more solutions to address the future needs of the system based on the analysis of the use history; and proactively and autonomously implement the one or more identified solutions based one or more predetermined criteria in the multi-cloud computing environment.

Aspects of the subject disclosure may include, for example, determining, an application requirement for a server of a data center geographically separated from a central location. A configuration file adapted for the server according to the application requirement is obtained at the central location and a host processor located at the data center is selected according to the application requirement. A static IP address preassigned to an administrative portion of the selected host processor is identified. The selected host processor is initialized remotely over a wide area network via the administrative port without utilizing any software resources pre-existing at the data center. The initializing configures the selected host processor according to the configuration file to service the application requirement. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, determining, an application requirement for a server of a data center geographically separated from a central location. A configuration file adapted for the server according to the application requirement is obtained at the central location and a host processor located at the data center is selected according to the application requirement. A static IP address preassigned to an administrative portion of the selected host processor is identified. The selected host processor is initialized remotely over a wide area network via the administrative port without utilizing any software resources pre-existing at the data center. The initializing configures the selected host processor according to the configuration file to service the application requirement. Other embodiments are disclosed.

Provided is an architecture drift detection system and method including: obtaining a first set of architecture design metrics associated with a first application; obtaining first set of data metrics associated with a first instance of the first application that is installed at a first server computing system; obtaining a second set of data metrics associated with a second instance of the first application that is installed at a second server computing system; determining, using the first set of data metrics and the second set of data metrics, that at least one of the first instance, the first server computing system, the second instance, or the second server computing system deviates from one or more architecture design metrics from the first set of architecture design metrics associated with the first application; and providing a deviation notification indicating a deviation from the one or more architecture design metrics.

Systems, methods, and other embodiments associated with autonomous cloud-node scoping for big-data machine learning use cases are described. In some example embodiments, an automated scoping tool, method, and system are presented that, for each of multiple combinations of parameter values, (i) set a combination of parameter values describing a usage scenario, (ii) execute a machine learning application according to the combination of parameter values on a target cloud environment, and (iii) measure the computational cost for the execution of the machine learning application. A recommendation regarding configuration of central processing unit(s), graphics processing unit(s), and memory for the target cloud environment to execute the machine learning application is generated based on the measured computational costs.

A network controller automatically adjusts a computer network based on the operational information of an industrial device. The network controller receives a notification from a network element in the computer network that the industrial device attached to the network element has an administrative shell. The administrative shell includes operational information describing the operation of the industrial device. The network controller retrieves the administrative shell from the industrial device. The network controller parses the operational information in the administrative shell to determine an intent for the industrial device, and adjusts the computer network based on the intent of the industrial device.

Some embodiments provide a method of migrating a first software defined (SD) network managed by a first network manager to a second SD network managed by a second network manager. The method of some embodiments is performed by a third network manager that provides an interface that allows a set of users to specify and review logical network components, which the first and second network managers can then respectively deploy in the first and second SD networks. The third network manager in some embodiments identifies for a migration manager a first group of two or more logical network components that the third network manager previously specified for the first network manager to deploy in the first SD network. The migration manager then uses this information to correctly convert the first group of logical network components to a second group of two or more logical components in an appropriate manner that will allow the third network manager to manage the second group of logical network components that is implemented in the second SD network.

Systems and methods of visualizing data in a cellular network are disclosed. In one embodiments, a method includes presenting a network topology using a graphical user interface (GUI), wherein the network topology is a representation of at least a portion of the cellular network. A network topology selection is received related to the network topology. Additionally, parameter configuration data is generated related to the network topology selection. An audit of parameters is performed related with network elements of the cellular network in accordance with the parameter configuration data. Finally, a report of the audit is transmitted to a user device and visual representations of the report are presented using the GUI.

A method for integrating a replacement device in a cluster of devices includes, by the replacement device, requesting a contextual data structure from a first device of the cluster of devices and/or at least one outside device; obtaining based on the received contextual data structure, contextual data indicative of an environmental context of the replacement device; and providing the contextual data to at least one device of the cluster and/or the outside device(s). The at least one device and/or outside device(s) determining whether the contextual data meets a context criterion of a stored contextual data indicative of contextual data of a replaced device. If so, the replacement device receives from one or more of the first device, the at least one device, or the outside device(s), state data indicative of a known state of the replaced device, and updating the replacement device with the state data.