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Improving efficiency of analysis jobs in CMS

Ivanov, Todor Trendafilov and Belforte, Stefano and Wolf, Matthias and Mascheroni, Marco and Pérez-Calero Yzquierdo, Antonio and Letts, James and Hernández, José M. and Cristella, Leonardo and Ciangottini, Diego and Balcas, Justas and Woodard, Anna Elizabeth and Hurtado Anampa, Kenyi and Bockelman, Brian Paul and Davila Foyo, Diego (2019) Improving efficiency of analysis jobs in CMS. EPJ Web of Conferences, 214 . Art. No. 03006. ISSN 2100-014X. https://resolver.caltech.edu/CaltechAUTHORS:20201016-150841331

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Abstract

Hundreds of physicists analyze data collected by the Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider using the CMS Remote Analysis Builder and the CMS global pool to exploit the resources of the Worldwide LHC Computing Grid. Efficient use of such an extensive and expensive resource is crucial. At the same time, the CMS collaboration is committed to minimizing time to insight for every scientist, by pushing for fewer possible access restrictions to the full data sample and supports the free choice of applications to run on the computing resources. Supporting such variety of workflows while preserving efficient resource usage poses special challenges. In this paper we report on three complementary approaches adopted in CMS to improve the scheduling efficiency of user analysis jobs: automatic job splitting, automated run time estimates and automated site selection for jobs.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1051/epjconf/201921403006DOIArticle
ORCID:
AuthorORCID
Ivanov, Todor Trendafilov0000-0003-0489-9191
Belforte, Stefano0000-0001-8443-4460
Pérez-Calero Yzquierdo, Antonio0000-0003-3036-7965
Letts, James0000-0002-0156-1251
Cristella, Leonardo0000-0002-4279-1221
Ciangottini, Diego0000-0002-0843-4108
Hurtado Anampa, Kenyi0000-0002-9779-3566
Additional Information:© 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. Published online 17 September 2019.
Group:CMS@Caltech
Record Number:CaltechAUTHORS:20201016-150841331
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20201016-150841331
Official Citation:Improving efficiency of analysis jobs in CMS. Todor Trendafilov Ivanov, Stefano Belforte, Matthias Wolf, Marco Mascheroni, Antonio Pérez-Calero Yzquierdo, James Letts, José M. Hernández, Leonardo Cristella, Diego Ciangottini, Justas Balcas, Anna Elizabeth Woodard, Kenyi Hurtado Anampa, Brian Paul Bockelman and Diego Davila Foyo. EPJ Web Conf., 214 (2019) 03006; DOI: https://doi.org/10.1051/epjconf/201921403006
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:106124
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:16 Oct 2020 22:51
Last Modified:16 Oct 2020 22:51

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