| Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
|---|---|---|
| Article Number | 03045 | |
| Number of page(s) | 5 | |
| Section | T3 - Distributed computing | |
| DOI | https://doi.org/10.1051/epjconf/201921403045 | |
| Published online | 17 September 2019 | |
https://doi.org/10.1051/epjconf/201921403045
Towards a computing model for the LHCb Upgrade
1
European Organization for Nuclear Research (CERN),
Geneva,
Switzerland
2
INFN Sezione di Ferrara,
Ferrara,
Italy
* e-mail: concezio.bozzi@cern.ch
* e-mail: stefan.roiser@cern.ch
Published online: 17 September 2019
The LHCb experiment will be upgraded for data taking in the LHC Run 3. The foreseen trigger output bandwidth trigger ofa few GB/s will result in data sets of tens of PB per year, which need to be efficiently streamed and stored offline for low-latency data analysis. In addition, simulation samples of up to two orders of magnitude larger than those currently simulated are envisaged, with big impact on offline computing and storage resources. This contribution discusses the offline computing model and the required offline resources for the LHCb upgrade, as resulting from the above requirements.
© 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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