Patent classifications
H04L41/5006
Dynamic slice bandwidth multiplexing based on slice priority
In a slice-based network, slice multiplexers can be used to anchor inter-cloud tunnels across different clouds in a slice path. The slice multiplexers can dynamically change a total allocated bandwidth of an outer tunnel and reconfigure relative slice bandwidths of inner tunnels. This can result in an optimized bandwidth allocation that enforces slice priorities, maintains required SLA performance levels, and minimizes total allocated bandwidth on the network connection. The dynamic changes can be based on slice priority levels, total number of slices, and historical slice throughput.
Dynamic slice bandwidth multiplexing based on slice priority
In a slice-based network, slice multiplexers can be used to anchor inter-cloud tunnels across different clouds in a slice path. The slice multiplexers can dynamically change a total allocated bandwidth of an outer tunnel and reconfigure relative slice bandwidths of inner tunnels. This can result in an optimized bandwidth allocation that enforces slice priorities, maintains required SLA performance levels, and minimizes total allocated bandwidth on the network connection. The dynamic changes can be based on slice priority levels, total number of slices, and historical slice throughput.
FEASIBILITY CHECK FOR NETWORK SLICE INSTANTIATION
It is provided a method, comprising qualitatively checking if an infrastructure provides all features required to fulfill a request to set up a network slice instance; quantitatively checking if an available capacity of the infrastructure is sufficient to fulfill the request to set up the network slice instance; inhibiting the quantitative checking if, according to the qualitative checking, the infra-structure does not provide all the features required to fulfill the request to set up the network slice instance.
FEASIBILITY CHECK FOR NETWORK SLICE INSTANTIATION
It is provided a method, comprising qualitatively checking if an infrastructure provides all features required to fulfill a request to set up a network slice instance; quantitatively checking if an available capacity of the infrastructure is sufficient to fulfill the request to set up the network slice instance; inhibiting the quantitative checking if, according to the qualitative checking, the infra-structure does not provide all the features required to fulfill the request to set up the network slice instance.
Methods and apparatus for supporting platform and application development and operation
Apparatus and methods related to on-boarding software applications on a platform used in a content delivery and/or service provider network. In one embodiment, a centralized platform such as a premises gateway is provided to act as an application portal or store for all consumer devices that connects to a service provider network. In one variant, a software architecture is provided for the gateway which includes at least one of an open-sourced OS (e.g., OpenWrt) and containerization engine (e.g., Docker) which enables a broader range of application compatibility with the gateway itself and end user devices within the premises by abstracting the services and functions above the specific hardware/firmware configurations of each of the end user devices.
Application function influenced framework for time sensitive communications
A method, apparatus and computer program product are provided herein to receive, from a source, performance requirements, and cause transmission, to a network, of a request to influence time sensitive communications (TSC) configuration parameters. For example, a method is provided to in response to the request to influence TSC configuration, receive, from the network, network configuration and radio access network (RAN) resource constraints and determine a quality of service (QoS) and the TSC configuration parameters to support a TSC data stream based on the performance requirements received from the source, the network configuration, and the RAN resource constraints. The method is further configured to cause transmission of the determined QoS and the TSC configuration parameters to the network and the source and in an instance the network accepts the determined QoS and the TSC configuration parameters, configure resources for the TSC data stream and continuously support service continuity.
TECHNOLOGIES FOR PROVIDING FUNCTION AS SERVICE TIERED SCHEDULING AND MAPPING FOR MULTI-OPERATOR ARCHITECTURES
Technologies for determining a set of edge resources to offload a workload from a client compute device based on a brokering logic provided by a service provider include a device that includes circuitry that is in communication with edge resources. The circuitry is to receive a brokering logic from a service provider receive a request from a client compute device, wherein the request includes a function to be used to execute the request and one or more parameters associated with the client compute device, determine the one or more parameters, select, as a function of the one or more parameters and the brokering logic, a physical implementation to perform the function, wherein the physical implementation indicates a set of edge resources and a performance level for each edge resource of the set of edge resources, and perform, in response to a selection of the physical implementation, the request using the set of edge resources associated with the physical implementation.
TECHNOLOGIES FOR PROVIDING FUNCTION AS SERVICE TIERED SCHEDULING AND MAPPING FOR MULTI-OPERATOR ARCHITECTURES
Technologies for determining a set of edge resources to offload a workload from a client compute device based on a brokering logic provided by a service provider include a device that includes circuitry that is in communication with edge resources. The circuitry is to receive a brokering logic from a service provider receive a request from a client compute device, wherein the request includes a function to be used to execute the request and one or more parameters associated with the client compute device, determine the one or more parameters, select, as a function of the one or more parameters and the brokering logic, a physical implementation to perform the function, wherein the physical implementation indicates a set of edge resources and a performance level for each edge resource of the set of edge resources, and perform, in response to a selection of the physical implementation, the request using the set of edge resources associated with the physical implementation.
SERVICE REMEDIATION PLAN GENERATION
One embodiment provides a computer implemented method, including: receiving interaction logs of a plurality of services of an application running on a system; generating an interaction graph identifying interactions between at least the at least one of the plurality of services and other of the plurality of services, wherein the identifying comprises identifying a frequency of interactions between services; determining constraints between at least the at least one of the plurality of services and the other of the plurality of services, wherein the constraints identify services that are dependent upon other services of the plurality of services and a compatibility of services with respect to other services of the plurality of services; and creating a remediation plan for updating the at least one of the plurality of services, wherein the remediation plan identifies a time for updating the at least one of the plurality of services.
Dynamic inter-cloud placement of virtual network functions for a slice
Examples can include an optimizer that dynamically determines where to place virtual network functions for a slice in a distributed Telco cloud network. The optimizer can determine a slice path that complies with a service level agreement and balances network load. The virtual network functions of the slice can be provisioned at clouds identified by the optimal slice path. In one example, performance metrics are normalized, and tenant-selected weights can be applied. This can allow the optimizer to prioritize particular SLA attributes in choosing an optimal slice path.