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Linux Foundation: Updates on ONAP and the R Consortium

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Linux
  • ONAP’s Second Code Release, Beijing, Enables the Software to Use Kubernetes

    The O​pen Network Automation Platform (ONAP)​ project today issued its second software release — Beijing. It includes more support for containers and some functionality for service providers to deploy ONAP across geographically dispersed data centers.

    The ONAP project gave clues that it was working with the container orchestrator Kubernetes in March when the two projects conducted a joint demonstration at the Open Networking Summit (ONS).

  • ONAP ‘Beijing’ Paves Way for Cloud-Native Network Functions

    The Linux Foundation's LF Networking group announced availability for the second version of ONAP, or the Open Network Automation Platform that is codenamed “Beijing," which is being used by AT&T and several other large carriers to manage and automate network traffic and security.

    Beijing follows "Amsterdam," which was a first release late last year that integrated the code bases from two other carrier orchestration projects, one from AT&T and the other from the largest providers in China, said LF Networking General Manager Arpit Joshipura, in an interview with eWEEK.

  • ONAP Beijing release targets deployment scenarios

    Deployability is the name of the game with the Linux Foundation's latest Open Network Automation Platform architecture.

    Central to the ONAP Beijing release are seven identified "dimensions of deployability," said Arpit Joshipura, general manager of networking and orchestration at the Linux Foundation. These seven deployability factors comprise usability, security, manageability, stability, scalability, performance and resilience.

  • R Consortium is soliciting your feedback on R package best practices

    With over 12,000 R packages on CRAN alone, the choice of which package to use for a given task is challenging. While summary descriptions, documentation, download counts and word-of-mouth may help direct selection, a standard assessment of package quality can greatly help identify the suitability of a package for a given (non-)commercial need. Providing the R Community of package users an easily recognized “badge” indicating the level of quality achievement will make it easier for users to know the quality of a package along several dimensions. In addition, providing R package authors and maintainers a checklist of “best practices” can help guide package development and evolution, as well as help package users as to what to look for in a package.

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