White Papers

Understanding OPNFV

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Understanding OPNFV 104 containerized control plane) containerize OpenStack services and orchestrate those containers. Doing this dramatically improves the day-2 experience. ZTE's open source Daisy project uses OpenStack Kolla, a project that provides production-ready containers for OpenStack services, and then builds on it with tooling for automated deployment, configuration templates etc. Daisy4NFV is still in incubation, and promises to ease deployments for large scale clouds. IPv6-enabled OPNFV The project, as the name suggests, identifies gaps in upstream projects to implement a full IPv6 NFV deployment and also creates IPv6 scenarios. For the Danube release, the project can use Fuel, JOID and Compass. Deployment Template Translation (Parser) The VNFM layer and VNF descriptors provide NFVI requirements (such as vCPU, memory, storage, dataplane acceleration, and so on) and specify post-deployment records (such as utilization, performance report, and so on) in formats such as TOSCA. But these templates often need to be translated to another format such as a Heat template for the VIM layer to act upon them. This project solves the translation problem through four translator projects: t osca2heat, yang2t osca, poli cy2t osca, t osca2kube . ARMBand The goal of ARMBand is to make sure OPNFV software runs on ARM. It replicates all aspects of OPNFV, such as software build, CI, lab provisioning, testing processes for the ARM architecture. At this time, a subset of scenarios and test projects are supported via ARMBand. FastDataStacks (FDS) The FDS project uses APEX to deploy FD.io scenarios. Currently installers are tied to particular PODs. To improve POD utilization and for projects such as Multisite (see Chapter 5) it becomes important to decouple installers from PODs, and the future direction of OPNFV is to make the mapping of scenarios to POD(s) a lot more flexible and dynamic.

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