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CMS Connect

Balcas, J. and Bockelman, B. and Gardner, R., Jr. and Hurtado Anampa, K. and Jayatilaka, B. and Aftab Khan, F. and Lannon, K. and Larson, K. and Letts, J. and Marra Da Silva, J. and Mascheroni, M. and Mason, D. and Perez-Calero Yzquierdo, A. and Tiradani, A. (2017) CMS Connect. Journal of Physics Conference Series, 898 . Art. No. 082032. ISSN 1742-6588. doi:10.1088/1742-6596/898/8/082032.

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The CMS experiment collects and analyzes large amounts of data coming from high energy particle collisions produced by the Large Hadron Collider (LHC) at CERN. This involves a huge amount of real and simulated data processing that needs to be handled in batch-oriented platforms. The CMS Global Pool of computing resources provide +100K dedicated CPU cores and another 50K to 100K CPU cores from opportunistic resources for these kind of tasks and even though production and event processing analysis workflows are already managed by existing tools, there is still a lack of support to submit final stage condor-like analysis jobs familiar to Tier-3 or local Computing Facilities users into these distributed resources in an integrated (with other CMS services) and friendly way. CMS Connect is a set of computing tools and services designed to augment existing services in the CMS Physics community focusing on these kind of condor analysis jobs. It is based on the CI-Connect platform developed by the Open Science Grid and uses the CMS GlideInWMS infrastructure to transparently plug CMS global grid resources into a virtual pool accessed via a single submission machine. This paper describes the specific developments and deployment of CMS Connect beyond the CI-Connect platform in order to integrate the service with CMS specific needs, including specific Site submission, accounting of jobs and automated reporting to standard CMS monitoring resources in an effortless way to their users.

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Additional Information:© 2017 Published under licence by IOP Publishing Ltd. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. The Open Science Grid and University of Chicago Team not only provide and maintain the CI-Connect based submission hardware and networking infrastructure, but also support the service on different levels, including hosting, registration, software updates and maintenance notifications, within other tasks. We are especially grateful to Robert Gardner, Lincoln Bryant, Suchandra Thapa and Balamurugan Desinghu who assisted closely in the integration of the CI-Connect platform with the CMS Global Pool and continue supporting the service operability. The present work is partially funded under grants from the U.S Department of Energy, the National Science Foundation and Spain Ministry of Economy and Competitiveness grant FPA2013-48082-C2-1/2-R. The Port d Informació Científica (PIC) is maintained through a collaboration between the Generalitat de Catalunya, CIEMAT, IFAE and the Universität Autonoma de Barcelona.
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Department of Energy (DOE)UNSPECIFIED
Ministerio de Economía, Industria y Competitividad (MINECO)FPA2013-48082-C2-1/2-R
Record Number:CaltechAUTHORS:20181119-094415848
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Official Citation:J Balcas et al 2017 J. Phys.: Conf. Ser. 898 082032
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:91006
Deposited By: Tony Diaz
Deposited On:19 Nov 2018 18:14
Last Modified:12 Jul 2022 17:07

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