Telecommunication technologies are changing at a very fast pace. As a result of the Internet's growth, new standards are being rapidly developed and vendors are quickly adopting those standards. Considering such a fast rate of change, interoperability across vendor equipment can become a concern. To address such a concern, techniques are presented herein that support an automated means of detecting an index that provides a "level of understanding" (i.e., an interoperability index) between two devices or routers. Aspects of the presented techniques encompass the recording of messages and unknown type-length-value (TLV) artifacts to a log; over the time, monitoring the frequency of messages and unknown TLVs that cannot be interpreted; developing statistics from same; and generating an interoperability index. Further aspects of the presented techniques employ data analysis, machine learning (ML), and artificial intelligence (AI) algorithms.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.