Distributed analysis in CMS

Alessandra Fanfani; Anzar Afaq; Jose Afonso Sanches; Julia Andreeva; Giusepppe Bagliesi; Lothar Bauerdick; Stefano Belforte; Patricia Bittencourt Sampaio; Ken Bloom; Barry Blumenfeld; Daniele Bonacorsi; Chris Brew; Marco Calloni; Daniele Cesini; Mattia Cinquilli; Giuseppe Codispoti; Jorgen D'Hondt; Liang Dong; Danilo Dongiovanni; Giacinto Donvito; David Dykstra; Erik Edelmann; Ricky Egeland; Peter Elmer; Giulio Eulisse; Dave Evans; Federica Fanzago; Fabio Farina; Derek Feichtinger; Ian Fisk; Josep Flix; Claudio Grandi; Yuyi Guo; Kalle Happonen; José M. Hernàndez; Chih Hao Huang; Kejing Kang; Edward Karavakis; Matthias Kasemann; Carlos Kavka; Akram Khan; Bockjoo Kim; Jukka Klem; Jesper Koivumäki; Thomas Kress; Peter Kreuzer; Tibor Kurca; Valentin Kuznetsov; Stefano Lacaprara; Kati Lassila-Perini; James Letts; Tomas Lindén; Lee Lueking; Joris Maes; Nicolò Magini; Gerhild Maier; Patricia Mcbride; Simon Metson; Vincenzo Miccio; Sanjay Padhi; Haifeng Pi; Hassen Riahi; Daniel Riley; Paul Rossman; Pablo Saiz; Andrea Sartirana; Andrea Sciabà; Vijay Sekhri; Daniele Spiga; Lassi Tuura; Eric Vaandering; Lukas Vanelderen; Petra van Mulders; Aresh Vedaee; Ilaria Villella; Eric Wicklund; Tony Wildish; Christoph Wissing; Frank Würthwein

doi:10.1007/s10723-010-9152-1

Distributed analysis in CMS

Alessandra Fanfani, Anzar Afaq, Jose Afonso Sanches, Julia Andreeva, Giusepppe Bagliesi, Lothar Bauerdick, Stefano Belforte, Patricia Bittencourt Sampaio, Ken Bloom, Barry Blumenfeld, Daniele Bonacorsi, Chris Brew, Marco Calloni, Daniele Cesini, Mattia Cinquilli, Giuseppe Codispoti, Jorgen D'Hondt, Liang Dong, Danilo Dongiovanni, Giacinto DonvitoDavid Dykstra, Erik Edelmann, Ricky Egeland, Peter Elmer, Giulio Eulisse, Dave Evans, Federica Fanzago, Fabio Farina, Derek Feichtinger, Ian Fisk, Josep Flix, Claudio Grandi, Yuyi Guo, Kalle Happonen, José M. Hernàndez, Chih Hao Huang, Kejing Kang, Edward Karavakis, Matthias Kasemann, Carlos Kavka, Akram Khan, Bockjoo Kim, Jukka Klem, Jesper Koivumäki, Thomas Kress, Peter Kreuzer, Tibor Kurca, Valentin Kuznetsov, Stefano Lacaprara, Kati Lassila-Perini, James Letts, Tomas Lindén, Lee Lueking, Joris Maes, Nicolò Magini, Gerhild Maier, Patricia Mcbride, Simon Metson, Vincenzo Miccio, Sanjay Padhi, Haifeng Pi, Hassen Riahi, Daniel Riley, Paul Rossman, Pablo Saiz, Andrea Sartirana, Andrea Sciabà, Vijay Sekhri, Daniele Spiga, Lassi Tuura, Eric Vaandering, Lukas Vanelderen, Petra van Mulders, Aresh Vedaee, Ilaria Villella, Eric Wicklund, Tony Wildish, Christoph Wissing, Frank Würthwein

Physics

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

The CMS experiment expects to manage several Pbytes of data each year during the LHC programme, distributing them over many computing sites around the world and enabling data access at those centers for analysis. CMS has identified the distributed sites as the primary location for physics analysis to support a wide community with thousands potential users. This represents an unprecedented experimental challenge in terms of the scale of distributed computing resources and number of user. An overview of the computing architecture, the software tools and the distributed infrastructure is reported. Summaries of the experience in establishing efficient and scalable operations to get prepared for CMS distributed analysis are presented, followed by the user experience in their current analysis activities.

Original language	English (US)
Pages (from-to)	159-179
Number of pages	21
Journal	Journal of Grid Computing
Volume	8
Issue number	2
DOIs	https://doi.org/10.1007/s10723-010-9152-1
State	Published - Jun 2010

All Science Journal Classification (ASJC) codes

Software
Information Systems
Hardware and Architecture
Computer Networks and Communications

Keywords

CMS
Distributed analysis
Grid
LHC

Access to Document

10.1007/s10723-010-9152-1

Cite this

Fanfani, A., Afaq, A., Sanches, J. A., Andreeva, J., Bagliesi, G., Bauerdick, L., Belforte, S., Sampaio, P. B., Bloom, K., Blumenfeld, B., Bonacorsi, D., Brew, C., Calloni, M., Cesini, D., Cinquilli, M., Codispoti, G., D'Hondt, J., Dong, L., Dongiovanni, D., ... Würthwein, F. (2010). Distributed analysis in CMS. Journal of Grid Computing, 8(2), 159-179. https://doi.org/10.1007/s10723-010-9152-1

@article{4b53b0795c7b49bda86bf6b2d9d1e111,

title = "Distributed analysis in CMS",

abstract = "The CMS experiment expects to manage several Pbytes of data each year during the LHC programme, distributing them over many computing sites around the world and enabling data access at those centers for analysis. CMS has identified the distributed sites as the primary location for physics analysis to support a wide community with thousands potential users. This represents an unprecedented experimental challenge in terms of the scale of distributed computing resources and number of user. An overview of the computing architecture, the software tools and the distributed infrastructure is reported. Summaries of the experience in establishing efficient and scalable operations to get prepared for CMS distributed analysis are presented, followed by the user experience in their current analysis activities.",

keywords = "CMS, Distributed analysis, Grid, LHC",

author = "Alessandra Fanfani and Anzar Afaq and Sanches, {Jose Afonso} and Julia Andreeva and Giusepppe Bagliesi and Lothar Bauerdick and Stefano Belforte and Sampaio, {Patricia Bittencourt} and Ken Bloom and Barry Blumenfeld and Daniele Bonacorsi and Chris Brew and Marco Calloni and Daniele Cesini and Mattia Cinquilli and Giuseppe Codispoti and Jorgen D'Hondt and Liang Dong and Danilo Dongiovanni and Giacinto Donvito and David Dykstra and Erik Edelmann and Ricky Egeland and Peter Elmer and Giulio Eulisse and Dave Evans and Federica Fanzago and Fabio Farina and Derek Feichtinger and Ian Fisk and Josep Flix and Claudio Grandi and Yuyi Guo and Kalle Happonen and Hern{\`a}ndez, {Jos{\'e} M.} and Huang, {Chih Hao} and Kejing Kang and Edward Karavakis and Matthias Kasemann and Carlos Kavka and Akram Khan and Bockjoo Kim and Jukka Klem and Jesper Koivum{\"a}ki and Thomas Kress and Peter Kreuzer and Tibor Kurca and Valentin Kuznetsov and Stefano Lacaprara and Kati Lassila-Perini and James Letts and Tomas Lind{\'e}n and Lee Lueking and Joris Maes and Nicol{\`o} Magini and Gerhild Maier and Patricia Mcbride and Simon Metson and Vincenzo Miccio and Sanjay Padhi and Haifeng Pi and Hassen Riahi and Daniel Riley and Paul Rossman and Pablo Saiz and Andrea Sartirana and Andrea Sciab{\`a} and Vijay Sekhri and Daniele Spiga and Lassi Tuura and Eric Vaandering and Lukas Vanelderen and {van Mulders}, Petra and Aresh Vedaee and Ilaria Villella and Eric Wicklund and Tony Wildish and Christoph Wissing and Frank W{\"u}rthwein",

note = "Funding Information: Acknowledgements We thank the technical and administrative staff of CERN and CMS Institutes, Tier-1 and Tier-2 centres and acknowledge their support. This work is co-funded by the European Commission through the EGEE-III project (www.eu-egee.org), contract number INFSO-RI-222667, and the results produced made use of the EGEE Grid infrastructure.",

year = "2010",

month = jun,

doi = "10.1007/s10723-010-9152-1",

language = "English (US)",

volume = "8",

pages = "159--179",

journal = "Journal of Grid Computing",

issn = "1570-7873",

publisher = "Springer Netherlands",

number = "2",

}

Fanfani, A, Afaq, A, Sanches, JA, Andreeva, J, Bagliesi, G, Bauerdick, L, Belforte, S, Sampaio, PB, Bloom, K, Blumenfeld, B, Bonacorsi, D, Brew, C, Calloni, M, Cesini, D, Cinquilli, M, Codispoti, G, D'Hondt, J, Dong, L, Dongiovanni, D, Donvito, G, Dykstra, D, Edelmann, E, Egeland, R, Elmer, P, Eulisse, G, Evans, D, Fanzago, F, Farina, F, Feichtinger, D, Fisk, I, Flix, J, Grandi, C, Guo, Y, Happonen, K, Hernàndez, JM, Huang, CH, Kang, K, Karavakis, E, Kasemann, M, Kavka, C, Khan, A, Kim, B, Klem, J, Koivumäki, J, Kress, T, Kreuzer, P, Kurca, T, Kuznetsov, V, Lacaprara, S, Lassila-Perini, K, Letts, J, Lindén, T, Lueking, L, Maes, J, Magini, N, Maier, G, Mcbride, P, Metson, S, Miccio, V, Padhi, S, Pi, H, Riahi, H, Riley, D, Rossman, P, Saiz, P, Sartirana, A, Sciabà, A, Sekhri, V, Spiga, D, Tuura, L, Vaandering, E, Vanelderen, L, van Mulders, P, Vedaee, A, Villella, I, Wicklund, E, Wildish, T, Wissing, C & Würthwein, F 2010, 'Distributed analysis in CMS', Journal of Grid Computing, vol. 8, no. 2, pp. 159-179. https://doi.org/10.1007/s10723-010-9152-1

TY - JOUR

T1 - Distributed analysis in CMS

AU - Fanfani, Alessandra

AU - Afaq, Anzar

AU - Sanches, Jose Afonso

AU - Andreeva, Julia

AU - Bagliesi, Giusepppe

AU - Bauerdick, Lothar

AU - Belforte, Stefano

AU - Sampaio, Patricia Bittencourt

AU - Bloom, Ken

AU - Blumenfeld, Barry

AU - Bonacorsi, Daniele

AU - Brew, Chris

AU - Calloni, Marco

AU - Cesini, Daniele

AU - Cinquilli, Mattia

AU - Codispoti, Giuseppe

AU - D'Hondt, Jorgen

AU - Dong, Liang

AU - Dongiovanni, Danilo

AU - Donvito, Giacinto

AU - Dykstra, David

AU - Edelmann, Erik

AU - Egeland, Ricky

AU - Elmer, Peter

AU - Eulisse, Giulio

AU - Evans, Dave

AU - Fanzago, Federica

AU - Farina, Fabio

AU - Feichtinger, Derek

AU - Fisk, Ian

AU - Flix, Josep

AU - Grandi, Claudio

AU - Guo, Yuyi

AU - Happonen, Kalle

AU - Hernàndez, José M.

AU - Huang, Chih Hao

AU - Kang, Kejing

AU - Karavakis, Edward

AU - Kasemann, Matthias

AU - Kavka, Carlos

AU - Khan, Akram

AU - Kim, Bockjoo

AU - Klem, Jukka

AU - Koivumäki, Jesper

AU - Kress, Thomas

AU - Kreuzer, Peter

AU - Kurca, Tibor

AU - Kuznetsov, Valentin

AU - Lacaprara, Stefano

AU - Lassila-Perini, Kati

AU - Letts, James

AU - Lindén, Tomas

AU - Lueking, Lee

AU - Maes, Joris

AU - Magini, Nicolò

AU - Maier, Gerhild

AU - Mcbride, Patricia

AU - Metson, Simon

AU - Miccio, Vincenzo

AU - Padhi, Sanjay

AU - Pi, Haifeng

AU - Riahi, Hassen

AU - Riley, Daniel

AU - Rossman, Paul

AU - Saiz, Pablo

AU - Sartirana, Andrea

AU - Sciabà, Andrea

AU - Sekhri, Vijay

AU - Spiga, Daniele

AU - Tuura, Lassi

AU - Vaandering, Eric

AU - Vanelderen, Lukas

AU - van Mulders, Petra

AU - Vedaee, Aresh

AU - Villella, Ilaria

AU - Wicklund, Eric

AU - Wildish, Tony

AU - Wissing, Christoph

AU - Würthwein, Frank

N1 - Funding Information: Acknowledgements We thank the technical and administrative staff of CERN and CMS Institutes, Tier-1 and Tier-2 centres and acknowledge their support. This work is co-funded by the European Commission through the EGEE-III project (www.eu-egee.org), contract number INFSO-RI-222667, and the results produced made use of the EGEE Grid infrastructure.

PY - 2010/6

Y1 - 2010/6

N2 - The CMS experiment expects to manage several Pbytes of data each year during the LHC programme, distributing them over many computing sites around the world and enabling data access at those centers for analysis. CMS has identified the distributed sites as the primary location for physics analysis to support a wide community with thousands potential users. This represents an unprecedented experimental challenge in terms of the scale of distributed computing resources and number of user. An overview of the computing architecture, the software tools and the distributed infrastructure is reported. Summaries of the experience in establishing efficient and scalable operations to get prepared for CMS distributed analysis are presented, followed by the user experience in their current analysis activities.

AB - The CMS experiment expects to manage several Pbytes of data each year during the LHC programme, distributing them over many computing sites around the world and enabling data access at those centers for analysis. CMS has identified the distributed sites as the primary location for physics analysis to support a wide community with thousands potential users. This represents an unprecedented experimental challenge in terms of the scale of distributed computing resources and number of user. An overview of the computing architecture, the software tools and the distributed infrastructure is reported. Summaries of the experience in establishing efficient and scalable operations to get prepared for CMS distributed analysis are presented, followed by the user experience in their current analysis activities.

KW - CMS

KW - Distributed analysis

KW - Grid

KW - LHC

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U2 - 10.1007/s10723-010-9152-1

DO - 10.1007/s10723-010-9152-1

M3 - Article

AN - SCOPUS:77952419048

SN - 1570-7873

VL - 8

SP - 159

EP - 179

JO - Journal of Grid Computing

JF - Journal of Grid Computing

IS - 2

ER -

Distributed analysis in CMS

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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