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| Sl. No. | Topic | Presenter | Notes |
|---|---|---|---|
| 1. | Data-Generation | On Pod18, these two tools are ready (https://wiki.opnfv.org/pages/viewpage.action?pageId=13208158)
ToDo: Start Experiments Failure Data: Logs MetriMetrics from prometheus. Nginx pods – Run Traffic. L3 Forwarder - Run Traffic. | |
| 2. | Log-Analysis : Anomaly Detection | https://docs.google.com/presentation/d/1uWYkUJoeM4MFN-T2LRpEbPHT4PaCyXHHm_u8enkoPDg/edit?usp=sharing All the updates regarding theoretical and experimental research will be put in this PPT. Missing data in Logs is affecting the understanding of the problem. Lack of understanding of the dataset. Bert Implementation: (Not) available (https://github.com/google-research/bert). Steve: https://arundo-adtk.readthedocs-hosted.com/en/stable/ : Good implementation to both understand and compare against. | |
| 3. | ITU Problem | No update on CFP. Dataset will be used from above experiments. | |
| 4. | Presentation of LFAI-Data | Presentation was done to LFAI-Data. Q: When you use BERT for log extraction, do you find any challenges in that data in the logs is not always actual words, sometimes short tokens? The tokenization process of BERT. Q; Failures are few and far (Physical and Virutal) - So, Failure Prediction problems in NFV world is not relevant. Steve: Need to know more on this comment. Failure do occur, even with physical components. Sridhar to follow up with LFAI-data. | |
| 5 | CM-INP | Overview:
Present this next week? New proposal to ITU - for CM-INP as platform for assessment |