A master node, a local node, a service assurance system, and a respective method performed thereby for predicting one or more metrics associated with a communication network are provided. The method performed by the master node operable in the communication network comprises receiving prediction(s) based on training data from local nodes in the communication network; and determining weight parameter(s) associated with the local nodes based on the current received prediction(s) and past received predictions. The method further comprises adjusting a respective local reporting policy for one or more local nodes based on the determined weight parameter(s).

Technologies for multi-cloud routing and policy interconnectivity are provided. An example method can include assigning different sets of data plane routers to data plane traffic associated with different address spaces in a cloud site of a multi-cloud fabric to yield a distributed mapping of data plane traffic and data plane routers. The method can further include providing, to an on-premises site in the multi-cloud fabric, routing entries from a control plane router on the cloud site, the routing entries reflecting the distributed mapping and identifying, for each address space, which data plane router handles data plane traffic for that address space; and when a data plane router is deployed at the cloud site, providing, to the on-premises site, updated routing information from the control plane router, the updated routing information identifying the data plane router as a next hop for data plane traffic associated with a respective address space.

Technologies for multi-cloud routing and policy interconnectivity are provided. An example method can include assigning different sets of data plane routers to data plane traffic associated with different address spaces in a cloud site of a multi-cloud fabric to yield a distributed mapping of data plane traffic and data plane routers. The method can further include providing, to an on-premises site in the multi-cloud fabric, routing entries from a control plane router on the cloud site, the routing entries reflecting the distributed mapping and identifying, for each address space, which data plane router handles data plane traffic for that address space; and when a data plane router is deployed at the cloud site, providing, to the on-premises site, updated routing information from the control plane router, the updated routing information identifying the data plane router as a next hop for data plane traffic associated with a respective address space.

Techniques are disclosed for generating device cluster capability information for a cluster of devices in a network environment. Capability information can specify capabilities of the devices in the cluster. A first user device can generate device capabilities for the first user device and obtain device capabilities for other devices in the cluster. The first user device can generate cluster capability information providing an intersection of the first set of device capabilities and device capabilities of the other user devices in the cluster. The first user device can obtain cluster capability information for other clusters in the network environment and receive a request from a service user device to perform a specific task. The first user device can transmit cluster capability information relating to a selected cluster that corresponds with the request.

Techniques are disclosed for generating device cluster capability information for a cluster of devices in a network environment. Capability information can specify capabilities of the devices in the cluster. A first user device can generate device capabilities for the first user device and obtain device capabilities for other devices in the cluster. The first user device can generate cluster capability information providing an intersection of the first set of device capabilities and device capabilities of the other user devices in the cluster. The first user device can obtain cluster capability information for other clusters in the network environment and receive a request from a service user device to perform a specific task. The first user device can transmit cluster capability information relating to a selected cluster that corresponds with the request.

Disclosed herein are various embodiments to prevent, detect, or take action in response to the moving a device credential from one device to another, the improper configuration of a service processor, a missing service processor, or the tampering with a service processor in device-assisted services (DAS) systems.

A networking system may include a switch coupled to a computing resource. A resource management system may control the computing resource. A controller may be coupled to the switch. The controller may include a resource management interface that is coupled to the resource management system via a communications link. The resource management interface may receive computing resource information for the computing resource via the communications link. The controller may provide control data to the switch to update a cloud network for the computing resource based on the received computing resource information.

The invention enables high-availability, high-scale, high security and disaster recovery for API computing, including in terms of capture of data traffic passing through proxies, routing communications between clients and servers, and load balancing and/or forwarding functions. The invention inter alia provides (i) a scalable cluster of proxies configured to route communications between clients and servers, without any single point of failure, (ii) proxy nodes configured for implementing the scalable cluster (iii) efficient methods of configuring the proxy cluster, (iv) natural resiliency of clusters and/or proxy nodes within a cluster, (v) methods for scaling of clusters, (vi) configurability of clusters to span multiple servers, multiple racks and multiple datacenters, thereby ensuring high availability and disaster recovery (vii) switching between proxies or between servers without loss of session.

The invention enables high-availability, high-scale, high security and disaster recovery for API computing, including in terms of capture of data traffic passing through proxies, routing communications between clients and servers, and load balancing and/or forwarding functions. The invention inter alia provides (i) a scalable cluster of proxies configured to route communications between clients and servers, without any single point of failure, (ii) proxy nodes configured for implementing the scalable cluster (iii) efficient methods of configuring the proxy cluster, (iv) natural resiliency of clusters and/or proxy nodes within a cluster, (v) methods for scaling of clusters, (vi) configurability of clusters to span multiple servers, multiple racks and multiple datacenters, thereby ensuring high availability and disaster recovery (vii) switching between proxies or between servers without loss of session.

Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.