The NFVO Product and its Profiles

Insight Research, in its recent report “The VNFO…Ripe for change” has broken down the market by product profile. We consider two profile categories – Direct Open Source and Proprietary.

Let us look closely at the categories.

Insight Research has a very categorical definition for direct open source NFVOs - those that traverse the development journey directly from the open source community to the end-user. Thus open source offering that are internalized by OEMs and offered as proprietary NFVOs are not covered under direct open source.

Open source initiatives have played a pivotal role in the journey of the orchestrator. ONAP, OSM, Nephio and Kubernetes are some of the prominent contributions of the open source community to the VNFO development; and have been therefore profiled at length in the report.

What then is ‘direct’ open source?

Open source initiatives have been utilized by various stakeholders in different ways. While in some cases have been used “as-is”; they have also been internalized into proprietary products in totality or in parts.

‘Direct’ open source refers to situations where the open source output has been used “as-is”.

Proprietary initiatives on the other hand, could have been developed ground up by their respective principals or could have absorbed some of the open-source output along the way. In both cases, the product has been sold as proprietary.

What are your thoughts on this characterization?

Kaustubha Parkhi Principal Analyst, Insight Research

RELATED BLOGS

AI and its applications in the RAN

Posted: March 10, 2024

      Excerpted from our report AI and RAN – How fast will they run? The above figure charts the progression of the revenue shares of the key end-applications for AI in the RAN. Insight Research identifies the following key end-applications for AI in the RAN: Traffic Optimization Caching Energy management Coding The impression … Continue reading AI and its applications in the RAN

AI burden in RAN – 5G Wins!

Posted: February 17, 2024

      Does 5G wear the AI burden more lightly in the RAN than earlier ‘older’ generations? Most certainly! We aver in our upcoming report, “AI ML and DL in the Mobile Core”. To be sure, there was no shortage of motivation for the usage of AI in 4G, or for that matter ANY … Continue reading AI burden in RAN – 5G Wins!

The Table, The RAN, The AI and The Serving

Posted: February 9, 2024

      What is the singularly pivotal value addition that 5G networks bring to the table? Beyond doubt, it is their ability to become all things for everyone. Welcome aboard traffic optimization – better known as network slicing plus edge computing. And who serves the traffic optimization in all its flavor? Undoubtedly, AI. Let … Continue reading The Table, The RAN, The AI and The Serving