:ok:
", "time": "2025-02-14T09:37:26Z"}, {"author": "Beno\u00eet Claise", "text": "I just created https://notes.ietf.org/nmop-interim-meeting-simap-feb-14th-2025# , for our meeting minutes
", "time": "2025-02-14T09:37:34Z"}, {"author": "Oscar de Dios", "text": "CAN YOU HEAR?
", "time": "2025-02-14T10:02:37Z"}, {"author": "Oscar de Dios", "text": "mmm
", "time": "2025-02-14T10:02:40Z"}, {"author": "Sherif Mostafa", "text": "no
", "time": "2025-02-14T10:02:44Z"}, {"author": "Oscar de Dios", "text": "mm
", "time": "2025-02-14T10:03:06Z"}, {"author": "Oscar de Dios", "text": "I will try to join from mobile...
", "time": "2025-02-14T10:03:14Z"}, {"author": "Oscar de Dios", "text": "When i switch device I raise hand again
", "time": "2025-02-14T10:04:24Z"}, {"author": "Thomas Graf", "text": "+1 on Sherifs proposal on having network entities which are state down, make them visible for network planning relate topology.
", "time": "2025-02-14T10:39:05Z"}, {"author": "Beno\u00eet Claise", "text": "Oscar, are you in the queue?
", "time": "2025-02-14T10:41:39Z"}, {"author": "Thomas Graf", "text": "+1 to Pierre. SIMAP only scales if it distributed and layered as the network it represents.
", "time": "2025-02-14T10:44:41Z"}, {"author": "Thomas Graf", "text": "Slide 10: The main use case is to find the common root cause, identify the causality chain. Anomaly Detection is capable to monitor connectivity services on some of the aspects. When failure is detected, it points to a cause, but not to a common root cause. There SIMAP will help.
", "time": "2025-02-14T10:51:18Z"}, {"author": "Thomas Graf", "text": "Slide 19: I agree on approach 1 and 2. I believe the choice between 1 and 2 depends on the amount of information to be mapped vs. how fast the map needs to be drawn. For approach 1 it needs to be in real-time. In approach 2, it is perfectly fine if a query in the map takes several minutes.
", "time": "2025-02-14T10:58:13Z"}, {"author": "Pierre Francois", "text": "Thanks for the orga !
", "time": "2025-02-14T11:30:52Z"}, {"author": "Thomas Graf", "text": "Thanks a lot!
", "time": "2025-02-14T11:30:58Z"}, {"author": "Oscar de Dios", "text": "Thanks!!
", "time": "2025-02-14T11:30:59Z"}]