A method of deploying a network service across a plurality of data centers, includes the steps of: in response to a request for or relating to a network service, identifying virtual network functions associated with the network service and determining network connectivity requirements of the virtual network functions, issuing commands to provision a first virtual link between at least two of the data centers in which the virtual network functions are to be deployed, and issuing commands to provision a second virtual link to one of the data centers in which the virtual network functions are to be deployed.

In general, the disclosure describes a method that includes partitioning resources of a computing device into a first namespace comprising a first physical network interface and a second namespace comprising a second physical network interface; creating, by a test agent executing as a process in the second namespace, a test agent child in the second namespace; migrating the test agent to execute as a process in the first namespace; communicating, by the test agent child via the second physical network interface, test packets; obtaining, by the test agent, network performance measurement data that is based at least on the test packets; and outputting, by the test agent while executing as a process in the first namespace, an indication of the network performance measurement data.

Various embodiments include network computing devices and methods for computing resource management. A processor of a network computing device may determine a latency metric and a transaction volume metric for a network application, determine an autoscaling cost based on the determined latency metric and transaction volume metric, allocate to the network application computing resources based on the determined autoscaling cost, and provide the allocated computing resources to the network application.

interface circuitry to detect a request to obtain a resource request from a workload and processor circuitry including one or more of: at least one of a central processing unit, a graphic processing unit or a digital signal processor, the at least one of the central processing unit, the graphic processing unit or the digital signal processor having control circuitry, arithmetic and logic circuitry, and one or more registers, the processor circuitry to execute instructions to: determine if resources are available for the workload on an infrastructure processing unit managed system; negotiate with the infrastructure processing unit to determine if an executing workload can be migrated; in response to determining that an executing workload can be migrated, cause the executing workload to be migrated; and cause the workload to execute on the resource.

The technology described herein allocates resources in a cloud computing environment using a 5G network. The system can connect a device to the 5G network and collect data related to the device such as a location of the device and characteristics of use of the device with the 5G network. The system can create a device service profile of the device based at least in part on the data related to the device. The system can then dynamically partition computing resources within the cloud computing environment for the device based on the device service profile and a time-of-day in the location of the device to thereby provide on-demand access to content or services in the cloud computing environment to the device over the 5G network.

The disclosure relates to a method, executed by an NFV-MANO, for providing a requested Service Availability Level (SAL) for a Network Service (NS). The method comprises at each of a plurality of layers of the NFV-MANO, mapping the requested SAL to a SAL that needs to be provided by a lower layer of the NFV-MANO. The method comprises propagating the mapped requested SAL through interfaces between layers of the NFV-MANO, from an NFVO towards a VIM. The method comprises receiving an estimated SAL′ for the NS based on virtual resources (VR) allocated by the VIM for satisfying the requested SAL. The method comprises, upon determining that the estimated SAL′ does not satisfy the requested SAL, taking actions to meet the requested SAL, or upon determining that the estimated SAL′ satisfies the requested SAL taking no further actions.

Some embodiments of the invention provide a method of adjusting deployment of a set of resource elements in a public cloud. The method deploys agents on a first set of resource elements in the public cloud. The method communicates with the deployed agents to generate performance metrics regarding the first set of resource elements. The method analyzes the performance metrics to determine that a deployment of a second set of resource elements in the public cloud has to be modified. The method modifies the deployment of the second set of resource elements based on the analysis.

Systems, methods, and computer-readable media for on-demand security provisioning using whitelist and blacklist rules. In some examples, a system in a network including a plurality of pods can configure security policies for a first endpoint group (EPG) in a first pod, the security policies including blacklist and whitelist rules defining traffic security enforcement rules for communications between the first EPG and a second EPG in a second pods in the network. The system can assign respective implicit priorities to the one or more security policies based on a respective specificity of each policy, wherein more specific policies are assigned higher priorities than less specific policies. The system can respond to a detected move of a virtual machine associated with the first EPG to a second pod in the network by dynamically provisioning security policies for the first EPG in the second pod and removing security policies from the first pod.

A computer program product comprises a computer readable storage medium having program instructions embodied therewith. The program instructions are executable by one or more processors to cause the one or more processors to collect, at a network interface controller associated with a first node, a set of usage metrics from one or more other network interface controllers respectively associated with one or more other nodes. Further, the program instructions are executable by one or more processors to cause the one or more processors to select, at the network interface controller associated with the first node, one of the one or more other nodes to allocate a virtualized workload for execution, wherein the selection utilizes at least a portion of the set of usage metrics collected from each of the one or more other network interface controllers.

Methods and apparatus, including computer program products, are provided for supporting network functions. In some example embodiments, there may be provided a method that includes selecting, by a network node, a network function instance and/or a group of network function instances, the selecting based on information indicating membership of the network function instance in the group of network functions instances and the information including session information for a request associated with a session of a user equipment, the session information indicating whether the network function instance and/or the group of network function instances is assigned to the user equipment; and forwarding, by the network node, the request to the selected network function instance and/or the selected group. Related systems, methods, and articles of manufacture are also described.