25–29 Apr 2022
Europe/Zurich timezone

Session

Grid, Cloud & Virtualisation

28 Apr 2022, 09:00
Online workshop

Online workshop

Presentation materials

There are no materials yet.

  1. Jayaditya Gupta (CERN)
    28/04/2022, 09:00
    Grid, Cloud & Virtualisation

    CERN's private OpenStack cloud offers more than 300,000 cores to over 3,500 users with services for compute, multiple storage types, baremetal, container clusters, and more.
    CERN Cloud Team constantly works on improving these services while maintaining stability and availability that is critical for many services in IT and the experiment workflows.
    This talk will cover the challenges and...

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  2. Antonin Dvorak (Czech Academy of Sciences (CZ))
    28/04/2022, 09:25
    Grid, Cloud & Virtualisation

    As CERN cloud service managers, one of our tasks is to make sure that the desired computational power is delivered to all users of our scientific community. This task is accomplished by monitoring the utilization metrics of each hypervisor and reacting to alarms in case of server saturation to mitigate the interference between VMs.

    In order to maximize the efficiency of our cloud...

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  3. Joao Pedro Lopes
    28/04/2022, 16:00
    Grid, Cloud & Virtualisation

    The File Transfer Service (FTS) is responsible for distributing the majority of the LHC data across the WLCG infrastructure. FTS schedules and executes data transfers, maximizing the use of available network and storage resources whilst easing the complexity of the grid environment by masking the details of the different underlying transfer protocols and storage endpoints.

    The FTS service...

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  4. Mr Bryan Hess (Jefferson Lab), Dr Paschalis Paschos
    28/04/2022, 16:25
    Grid, Cloud & Virtualisation

    Several enhancements have been introduced in the Jefferson Lab infrastructure to increase the robustness of the existing integration with computing pools for a number of collaborations doing experimental research in High Energy Physics. JLAB has provisioned access, entry, and execution points which allow the multiple collaboration users at the facility to submit HTCondor jobs to various pools...

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