Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
---|---|---|
Article Number | 03012 | |
Number of page(s) | 8 | |
Section | T3 - Distributed computing | |
DOI | https://doi.org/10.1051/epjconf/201921403012 | |
Published online | 17 September 2019 |
https://doi.org/10.1051/epjconf/201921403012
LHCb and DIRAC strategy towards the LHCb upgrade
1
CERN, EP Department, European Organization for Nuclear Research,
Switzerland
2
Centre de Physique de Particules de Marseille CPPM,
France
3
National Centre for Nuclear Research,
Swierk,
Poland
4
Institute for High Energy Physics of NRC Kurchatov Institute,
Russia
* e-mail: federico.stagni@cern.ch
** On behalf of the LHCb collaboration.
Published online: 17 September 2019
The DIRAC project is developing interware to build and operate distributed computing systems. It provides a development framework and a rich set of services for both Workload and Data Management tasks of large scientific communities. DIRAC is adopted by a growing number of collaborations, including LHCb, Belle2, CLIC, and CTA. The LHCb experiment will be upgraded during the second long LHC shutdown (2019-2020). At restart of data taking in Run 3, the instantaneous luminosity will increase by a factor of five. The LHCb computing model also need be upgraded. Oversimplifying, this translates into the need for significantly more computing power and resources, and more storage with respect to what LHCb uses right now. The DIRAC interware will keep being the tool to handle all of LHCb distributed computing resources. Within this contribution, we highlight the ongoing and planned efforts to ensure that DIRAC will be able to provide an optimal usage of its distributed computing resources. This contribution focuses on DIRAC plans for increasing the scalability of the overall system, taking in consideration that the main requirement is keeping a running system working. This requirement translates into the need of studies and developments within the current DIRAC architecture. We believe that scalability is about traffic growth, dataset growth, and maintainability: within this contribution we address all of them, showing the technical solutions we are adopting.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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