1. Komal Thareja

Komal Thareja

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Viewing 15 posts - 1 through 15 (of 478 total)
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  • in reply to: Availability of DPU-powered SmartNICs #8989
    Komal Thareja
    Participant

      Hi Tanay,

      We’re in the process of deploying them and are targeting DPU availability at KNIT11 around October 13–14.

      Best.

      Komal

      in reply to: Node Naming error #8931
      Komal Thareja
      Participant

        Hi Nishanth,

        Could you please try again? It should work now, freebsd fix introduced this check, i have disabled it now.

        Best,

        Komal

        Komal Thareja
        Participant

          Hi,

          Fix for this issue has been deployed on production. Please try creating a slice and let us know if you run into any issues.

          Best,

          Komal

          in reply to: Establishing connection between different Slices. #8911
          Komal Thareja
          Participant

            Hi Tejas,

            You can use FABRIC’s Layer 3 FabNetv4 or FabNetv6 Network Service to establish connectivity between slices.

            Any VM connected to FabNetv* in one slice can communicate with a VM connected to FabNetv* in another slice, provided the routes are configured correctly. You just need to add the following routes:

            ip route add 10.128.0.0/10 via <fabnetv4_gateway>
            ip -6 route add 2602:FCFB:00::/40 via <fabnetv6_gateway>
            

            You may also find this example artifact helpful, as it demonstrates inter-slice connectivity using FabNetv4.

            Best,

            Komal

            Komal Thareja
            Participant

              Thank you for sharing this, Nishant and YoursSunny.

              I was able to reproduce the issue. On IPv4 sites, user SSH keys are not being injected, and on IPv6, SSH connections are failing completely. We’ll work on addressing this and will let you know once the fix has been deployed. Apologies for the inconvenience in the meantime.

              Best,

              Komal

              in reply to: Internal Server Error when running JupyterHub cell #8883
              Komal Thareja
              Participant

                Hi Dagim,

                Thank you for sharing this observation. Could you update the instantiation of the fablib object in the first cell to the following and then try running the notebook again?

                fablib = fablib_manager(project_id=project_id, validate_config=False)
                

                Thanks,
                Komal

                 

                Komal Thareja
                Participant

                  Hi Zhihe,

                  This was a bug, a fix has been deployed on the default container. Could you please try running this notebook again?

                  Thanks,

                  Komal

                  in reply to: earlier versions of Jupyter examples #8877
                  Komal Thareja
                  Participant

                    Yes please Nirmala – Just keep the following in that file:

                    This should allow you to delete older examples.

                    {
                    "examples": [
                    {
                    "url": "default",
                    "location": "/home/fabric/work"
                    }
                    ]
                    }

                    Best,

                    Komal

                    Komal Thareja
                    Participant

                      Hi Philip,

                      We discussed this internally, and the minimum supported bandwidth value is 1 Gbps. At this time, we don’t have plans to provide more fine-grained options. If you need to simulate lower bandwidth, we recommend using tools such as tc.

                      Best,

                      Komal

                      in reply to: Energy monitoring of an allocation #8870
                      Komal Thareja
                      Participant

                        Hi Jacob,

                        Thank you for sharing the details. I discussed the energy consumption measurement topic with the team earlier today.

                        As mentioned before, we do not currently support energy consumption measurements on the VMs. The network team also confirmed that such measurement capabilities are not available on the network devices.

                        For identifying the geolocation of hops, we recommend using the L2PTP (Layer 2 Point-to-Point) network, where the user explicitly defines the network path by specifying the SITEs for each hop. You can then use fablib.list_sites() to obtain the geo-coordinates.

                        Please refer to this artifact for guidance on setting up an L2PTP slice:
                        https://artifacts.fabric-testbed.net/artifacts/7e439627-96be-45e0-ab67-50bb607f06e4

                         

                        Also, regarding the renewal request, I see that it was submitted yesterday. Michael will follow up on that through the ticket.

                        Best,

                        Komal

                        in reply to: earlier versions of Jupyter examples #8868
                        Komal Thareja
                        Participant

                          Hi Nirmala,

                          You don’t need to keep the example notebooks, so please go ahead and remove them.

                          Could you also take a look at the contents of /home/fabric/fabric_config/fabric_config.json? I suspect there may be multiple entries in that file. If so, please delete it as well—this should prevent the older examples from being retained when you log in again.

                          Best,

                          Komal

                          in reply to: Energy monitoring of an allocation #8867
                          Komal Thareja
                          Participant

                            Hi Jacob,

                            At the moment, energy consumption measurements are not passed into the VMs. I’ll bring this up in our planning meeting so it can be considered for inclusion in a future release.

                            For location information, we currently expose the geo-coordinates for all FABRIC sites, which you can retrieve using fablib.list_sites(). One possible approach to determine the location of hops is to map IPs → Sites → Locations.

                            Could you share your slice ID or specify the type of network service you’re using for your WAN experiment?

                            Best,

                            Komal

                            Komal Thareja
                            Participant

                              Hi Rasman,

                              The dataplane was down at MASS. The link has been restored, could you please try running the iPerf3 cells again from the notebook. Apologies for the inconvenience.

                              Thanks,

                              Komal

                              Komal Thareja
                              Participant

                                Hi Rasman,

                                I was able to run iperf3 optimized notebook without issues. I am unable to access your notebook. It says Page Not Found.

                                Could you please share your slice ID?

                                Thanks,

                                Komal

                                Komal Thareja
                                Participant

                                  Thank you @yoursunny for sharing the details on how to request more disk space on experiment VMs.

                                  The /home/fabric/work directory (1GB) in the JupyterHub environment serves as persistent storage for code, notebooks, scripts, and other materials related to configuring and running experiments, including the addition of extra Python modules. However, it is not designed to handle large datasets or output files.

                                  Please consider removing un-needed files to avoid this error.

                                  Additionally, if you need more disk space in the Jupyter Hub Container, I recommend setting up your own FABRIC environment on your laptop or machine to run your experiments. This approach will allow you to capture more data and reduce reliance on Jupyter Hub.

                                  Consider one of the following options:

                                  • Running JupyterHub Container locally as described here.
                                  • configuring a local Python environment for the FABRIC API as described here, and run the notebooks locally.

                                  Best,

                                  Komal

                                Viewing 15 posts - 1 through 15 (of 478 total)