Methods and systems for managing distributed systems are disclosed. The distributed system may include any number of data processing systems that may contribute to the functionality of the distributed system. To contribute to the functionality of the distributed system, each of the data processing systems may need to be configured to facilitate cooperative operation. To manage configuration of data processing system, a control plane may be utilized. The control plane may utilize a consensus based process for managing leadership among members of the control plane.

In one embodiment, a device obtains an indication of a network event predicted by a routing engine for a network. The device initiates monitoring of one or more network paths associated with the network event, to determine one or more states of the network. The device makes a comparison between the one or more states of the network and a set of one or more constraints. The device provides a prediction cancelation notification to the routing engine, based on the comparison.

Systems and methods are disclosed for managing workload among server clusters is disclosed. According to certain embodiments, the system may include a memory storing instructions and a processor. The processor may be configured to execute the instructions to determine historical behaviors of the server clusters in processing a workload. The processor may also be configured to execute the instructions to construct cost models for the server clusters based at least in part on the historical behaviors. The cost model is configured to predict a processor utilization demand of a workload. The processor may further be configured to execute the instructions to receive a workload and determine efficiencies of processing the workload by the server clusters based at least in part on at least one of the cost models or an execution plan of the workload.

Described are examples for providing service level monitoring for a network hosting applications as a cloud service. A service level monitoring device may receive end-to-end measurements of service usage collected at user devices for a plurality of applications hosted as a cloud services. The service level monitoring device may determine degraded applications of the plurality of applications based on anomalies in the measurements. The service level monitoring device may determine a service level metric based on an aggregation of the degraded applications. In some examples, the service level monitoring device may detect a network outage affecting the service.

A system and method for a virtual desktop system is disclosed. The system includes a master fabric region including resources for provisioning a desktop. The system includes a plurality of expansion fabric regions. Each of the expansion fabric regions including replicated resources for provisioning the desktop from the master fabric region. The system includes a control plane having a global pool. A client device application operated by a user associated with the global pool accesses a desktop from either the master fabric region or one of the expansion fabric regions. The control plane is operable to add a new expansion fabric region to the plurality of expansion fabric regions or eliminate one of the plurality of expansion fabric regions.

Detect, at a cable/fiber broadband network termination unit of a cable/fiber broadband multi-service operator, an interruption in service to a cable/fiber broadband network customer unit—small cell pair. Responsive to detecting the interruption, the termination unit advises a charging server of the operator of the interruption in service, a corresponding identifier of the customer unit—small cell pair, and a corresponding account identifier. Responsive to termination unit advising the charging server, the charging server advises a backend server of an associated cellular network of a customer identifier corresponding to the account identifier. Responsive to the charging server advising the backend server, the backend server advises a policy control function of the associated cellular network to modify network parameters of the associated cellular network to compensate for the interruption in service.

Described are examples for providing service level monitoring for a network hosting applications as a cloud service. A service level monitoring device may receive end-to-end measurements of service usage collected at user devices for a plurality of applications hosted as a cloud services. The service level monitoring device may determine degraded applications of the plurality of applications based on anomalies in the measurements. The service level monitoring device may determine a service level metric based on an aggregation of the degraded applications. In some examples, the service level monitoring device may detect a network outage affecting the service.

A storing unit stores therein contract information indicating, with respect to each of a plurality of devices rented to a user and included in a system, an expiration time point at which a rental contract of each of the plurality of devices expires and communication channel information indicating inter-device communication channels between the plurality of devices. A processing unit determines, based on the contract information and the communication channel information, a second device to experience effect of expiration of the rental contract of a first device at a first time point amongst the plurality of devices, and outputs information indicating the effect on the second device.

The present disclosure relates to systems and methods for cloud-based 5G security network architectures intelligent steering, workload isolation, identity, and secure edge steering. Specifically, various approaches are described to integrate cloud-based security services into Multiaccess Edge Compute servers (MECs). That is, existing cloud-based security services are in line between a UE and the Internet. The present disclosure includes integrating the cloud-based security services and associated cloud-based system within service provider's MECs. In this manner, a cloud-based security service can be integrated with a service provider's 5G network or a 5G network privately operated by the customer. For example, nodes in a cloud-based system can be collocated within a service provider's network, to provide security functions to 5G users or connected by peering from the cloud-based security service into the 5G service provider's regional communications centers.

The present invention relates to methods for accurate downtime calculation. The method comprises filtering an input signal from a system by a closing process and an opening process to generate a first smoothed signal. The method may include applying moving average filtering to the first smoothed signal to generate a second smoothed signal. The method may further include generating the morphology event labels and the average event labels of the signal based on the first and second smoothed signals, and determining the downtime intervals by the event labels.