Provided are a method for performing task processing on a common service entity, a common service entity, an apparatus and a medium for performing task processing. The method includes: receiving a task processing request; determining whether the common service entity itself performs the processing request; forwarding the request to another common service entity in a case where it is determined that the common service entity itself does not perform the task processing request, wherein the common service entity is associated with the another common service entity; performing, by the common service entity, the task processing request in a case where it is determined that the common service entity itself performs the task processing request.

A system configured to track network slicing operations within a 5G communication network includes processing circuitry configured to determine a network slice instance (NSI) associated with a QoS flow of a UE. The NSI communicates data for a network function virtualization (NFV) instance of a Multi-Access Edge Computing (MEC) system within the 5G communication network. Latency information for a plurality of communication links used by the NSI is retrieved. The plurality of communication links includes a first set of non-MEC communication links associated with a radio access network (RAN) of the 5G communication network and a second set of MEC communication links associated with the MEC system. A slice configuration policy is generated based on the retrieved latency information and slice-specific attributes of the NSI. Network resources of the 5G communication network used by the NSI are reconfigured based on the generated slice configuration policy.

The present invention provides for fabricating virtual networks and allocating request-notifications therein for providing support-services securely and efficiently. In operation, a virtual network is fabricated based on network-registration requests received from plurality of computing devices. Further, a primary data structure representative of registered computing devices categorized into devices offering services and requiring services is generated based on information embedded in network-registration requests. Furthermore, a secondary data structure is generated by sub-categorising categorised computing devices based on information embedded in network-registration requests. Yet further, request-notifications for completing incoming support-requests from registered computing devices requiring services are generated. Subsequently, request-notifications are allocated based on evaluation of one or more computing devices offering services out of plurality of computing devices based on data mapping using primary data structure, secondary data structure, and predefined attributes. Finally, support-information sharing and tracking of request-notifications are enabled based on acceptance of request-notification by evaluated computing devices.

Systems, devices, and methods discussed herein enable the provisioning of one or more virtual resources within a cloud-computing environment based at least in part on user-defined constraints. By way of example, a request to provision one or more virtual resources within the cloud-computing environment may be received. The request may include a set of user-defined constraints. Placement data indicating a mapping of a particular virtual resource to a particular hardware resource may be obtained based at least in part on the set of user-defined constraints. The virtual resource(s) may be provisioned within the cloud-computing environment in accordance with the set of user-defined constraints based at least in part on utilization of the placement data.

Systems, devices, and methods discussed herein enable the provisioning of one or more virtual resources within a cloud-computing environment based at least in part on user-defined constraints. By way of example, a request to provision one or more virtual resources within the cloud-computing environment may be received. The request may include a set of user-defined constraints. Placement data indicating a mapping of a particular virtual resource to a particular hardware resource may be obtained based at least in part on the set of user-defined constraints. The virtual resource(s) may be provisioned within the cloud-computing environment in accordance with the set of user-defined constraints based at least in part on utilization of the placement data.

Techniques described herein relate to a method for managing telemetry services for composed information handling systems. The method includes obtaining, by a system control processor manager, a telemetry request associated with a composed information handling system from a user; in response to obtaining the telemetry request: identifying a transaction identifier associated with the telemetry request; identifying telemetry intent associated with the telemetry request; aggregating telemetry data based on the telemetry intent and a telemetry data map entry associated with the transaction identifier to obtain aggregated telemetry data; and providing the aggregated telemetry data to the user.

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.

A method for optimizing device-to-device communication protocol selection in an edge computing environment is provided. The method includes: receiving a request for a service from a user device, wherein the computing system is one of plural edge computing devices in an edge computing environment; determining computational tasks performed in providing the service; selecting, using a machine learning model, a set of the edge computing devices to perform the computational tasks and communication protocols for the set of the edge computing devices to use while performing the computational tasks, wherein the machine learning model is configured to select the set of the edge computing devices and the communication protocols based on minimizing a time to perform the computational tasks; and sending instructions to perform the computational tasks, thereby causing the set of the edge computing devices to perform the service in response to the request from the user device.

A system, method, and computer program product are provided for a determining a network situation in a communication network. In use, at least one threshold value of at least one operational parameter of a communication network is obtained, the at least one operational parameter representing at least one operational status of at least one of a computational device or a communication device. Additionally, log data of the communication network is obtained, the log data containing at least one value of the at least one operational parameter reported by at least one network entity of the communication network. The at least one value of the at least one operational parameter of the log data is compared with a corresponding threshold value of the at least one threshold value to form a detection of a network situation. Further, the detection of the network situation is reported if the at least one value of the at least one operational parameter of the log data traverses the corresponding threshold value of the at least one threshold value.

A device monitors, for a software-defined networking wide area network (SD-WAN) deployment, a set of virtualized network services of the SD-WAN deployment, and applies a set of diagnostic tests to evaluate the set of virtualized network services. The device detects, based on monitoring the set of virtualized network services and in connection with applying the set of diagnostic tests, an event associated with a virtualized network service. The device analyzes, using an analytics model of SD-WAN operation, the event to identify an issue associated with the virtualized network service, and determines, based on the analytics model of SD-WAN operation, a recommendation relating to remediating the issue. The device generates an abstraction layer user interface to represent the set of virtualized network services and to convey the recommendation relating to remediating the issue, and implements, after providing the abstraction layer user interface, the recommendation to remediate the issue.