Hewlett Packard Enterprise Development LP

Arun Thulasi

Vinay Saxena

Leonid Isaevich Popokh

Tariq Khan

Puneet Sharma

Jonas Arndt

Philip Martin Halstead

Examples disclosed herein include a method of managing virtual network functions of a network functions virtualization (NFV) network environment includes generating an integration virtual network function (integration VNF) to allow a user to perform tasks related to integration and deployment of a first virtual network function (first VNF), and generating an orchestration template for a first virtual network function (first VNF) with an NFV orchestrator of the NFV environment. The method further includes reviewing the orchestration template with the integration VNF, and orchestrating deployment of the first VNF with a virtual infrastructure manager (VIM) of the NFV environment based on the orchestration template.

Managing virtual network functions

Example implementations relate to a plugin framework that facilitates management of heterogenous infrastructure resources residing in distributed data centers by multiple resource aggregators (RAs). According to an example, the plugin framework is logically interposed between the RAs and the heterogeneous infrastructure resources. The plugin framework includes multiple plugins each of which exposes a public API through which the RAs interact with the heterogeneous infrastructure resources. Each of the plugins corresponds to a particular type of resource of the heterogeneous infrastructure resources. Responsive to a first request issued to an RA by a north-bound client to a collection of the heterogeneous infrastructure resources, a plugin receives via its public API a second request including an RA-native message directed to a resource of the collection. The plugin directs the resource to take an action specified by the second request by translating the RA-native message to an infrastructure-native message understood by the resource.

Plugin framework to support zero touch management of heterogeneous infrastructure elements across distributed data centers

The technique includes determining parameters of a cloud platform associated with an edge computing service associated with a network. The technique includes deploying the cloud platform, including configuring equipment external to the network and configuring equipment of the network.

Deploying network-based cloud platforms on end equipment

According to examples, an apparatus may include a processor and a memory on which is stored machine readable instructions that when executed cause the processor to receive first data from a first data provider in a cloud platform, receive second data from a second data provider in the cloud platform, the second data being a different type of data than the first data, and the first data and the second data pertaining to network elements in the cloud platform. The instructions may also cause the processor to normalize the first data and the second data and based on an analysis of the normalized first data and the second data, identify an action to be executed in the cloud platform. The instructions may further cause the processor to instruct a dispatcher to execute the action.

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Cupertino, CA, United States of America

Arun Thulasi