A system described herein may provide a technique for the dynamic selection of configurable resources in an environment that includes a hierarchical or otherwise differentiated arrangement of configurable resources. The environment may include, or may be implemented by, a Distributed Resource Network (“DRN”), which may include hardware or virtual resources that may be configured, including the instantiation of containers, virtual machines, Virtualized Network Functions (“VNFs”), or the like. The DRN may be hierarchical in that some resources of the DRN may provide services to, and/or may otherwise be accessible to, a greater quantity of elements of the DRN or some other network.

A system described herein may provide a technique for the dynamic selection of configurable resources in an environment that includes a hierarchical or otherwise differentiated arrangement of configurable resources. The environment may include, or may be implemented by, a Distributed Resource Network (“DRN”), which may include hardware or virtual resources that may be configured, including the instantiation of containers, virtual machines, Virtualized Network Functions (“VNFs”), or the like. The DRN may be hierarchical in that some resources of the DRN may provide services to, and/or may otherwise be accessible to, a greater quantity of elements of the DRN or some other network.

A method, computer program product, and computing system for use in a clustered storage system are provided. Embodiments may include providing, using a management network, one or more of external access to the clustered storage system, management of intra-cluster traffic, management of hypervisor traffic, and access to infrastructure services. Embodiments may further include allowing, using a storage network, access to the clustered storage system from within the clustered storage system and one or more external hosts. Embodiments may also include providing a migration network to allow for mobility of one or more virtual machines within clustered storage system. Embodiments may further include splitting the management network into a public management network and an internal intra-cluster management network.

Example implementation relates to a method for establishing a dynamic VPN tunnel between branch gateway devices based on metric data. A branch orchestrator receives metric data from VPNC device. The metric data includes data center bandwidth and processor utilization of the VPNC device. The metric data is derived from the traffic being routed via the VPNC device. When the metric data associated with traffic between a first branch gateway device and a second branch gateway device is above a Service Level Agreement (SLA), a dynamic branch to branch VPN tunnel is established to route the traffic between the first branch gateway device and the second branch gateway device. The VPN tunnel between the branch gateways can be teared when the load at the VPNC device reduces.

Apparatuses, systems, and methods for performing network slice quota management. A network slice quota management function may store capacity information for one or more network slices. The network slice quota management function may receive a request for an indication of whether a network slice has additional capacity. The network slice quota management function may provide an indication of whether the network slice has additional capacity in response to the request. The capacity information may relate to the capacity of the network slice with respect to the number of wireless devices registered for the network slice, or to the capacity of the network slice with respect to the number of packet sessions established with the network slice, or both, among various possibilities.

Techniques are disclosed for generating a virtual representation (e.g., one or more digital twin models) of a multi-access edge computing system environment, and managing the multi-access edge computing system environment via the virtual representation. By way of example only, such techniques enable understanding, prediction and/or optimization of performance of applications and/or systems operating in the multi-access edge computing environment.

A method for configuring a service node, a service node pool registrar, and a system are provided. In certain embodiments, the method includes receiving a service node query request sent by a management configuration device. The service node query request includes a service requirement. The service requirement is from a user or caused by a network change. The method further includes searching a service node database, to obtain service node information that matches the service node query request. The method further includes sending the matching service node information to the management configuration device, causing the management configuration device to perform network and service configuration on the matching service node according to network topology information that has been obtained and the matching service node information.

A system, method, and computer-readable medium are disclosed for performing a data center monitoring and management operation. The data center monitoring and management operation includes: identifying a plurality of asset resources; selecting a workload for allocation of asset resources; determining which asset resources of the plurality of asset resources may be needed for allocation, determination of which asset resources of the plurality of asset resources may be needed for allocation taking into account on-premises asset resources and cloud-based asset resources the inventory of the available asset resources; and, performing a data center hybrid cloud asset allocation operation, the data center asset allocation operation allocating resources the workload based upon the determining.

The present disclosure relates to network slicing, in particular, in 5G networks systems. The disclosure is concerned with network slice enablement for (vertical) applications. Thus, an entity for inter-operation between a network system and at least one application is provided. The entity provides a request to the network system, for selection and/or adjustment of a network slice instance (NSI) providing one or more services to the at least one application. The request comprises a set of requirements for the at least one application and/or the one or more services. The set of requirements comprises a required configuration or adaption of at least one NSI related parameter. The entity further receives a response to the request from the network system. The response indicates a decision of the network system regarding the selection and/or adjustment of the NSI.

Adaptive storage processing for storage-as-a-service, including detecting, by a cloud-based monitoring system, a storage system state for a storage system by monitoring the storage system in real-time remotely via a network; selecting, by the cloud-based monitoring system based on the storage system state, an entry in a tunables repository, wherein the entry in the tunables repository comprises a tunable parameter for the storage system state; accessing, by the cloud-based monitoring system via the network, a gateway for the storage system; and modifying, by the cloud-based monitoring system via the gateway, the tunable on the storage system based on the tunable parameter for the storage system state.