Journal Article

CMS computing operations during run 1

Cury, S, Padhi, S, Bagliesi, G, Bauerdick, L, da Silva Gomes, D, Adelman, J, Behrenhof, W, Alderweireldt, S, Gowdy, S, Sartirana, A, Giffels, M, Kreuzer, P, Piperov, S, Contreras, L, Dost, J, Gomez-Ceballos, G, Linacre, J, Blyweert, S, Blumenfeld, B, Yang, M, Mccartin, J, Magini, N, Paus, C, Flix, J, Dykstra, D, McCrea, A, Spinoso, V, Hernandez, E Fajardo, Molina, J, Luyckx, S, Zvada, M, Cristofori, A, Levin, A, Sfiligoi, I, Janssen, X, Mohapatra, A, Bonacorsi, D, Wuerthwein, F, Maes, M, Tadel, M, Brew, C, Kim, B, Liu, S, Kcira, D, Lahiff, A, Ballesteros, D, Malta, A, Bansal, S, Fisk, I, Linares, L, Traldi, S, Kress, T, Mortensen, T, Letts, J, Klute, M, Kaselis, R, Da Silva, J Marra, Artieda, J, Klein, D, Sciaba, A, Bloom, K, Santos, M Dolores Saiz, Fanzango, F, Georges, A, Larson, K, Zielinski, M, Gutsche, O, Ralph, D, Wissing, C, Belforte, S, Holzman, B

2014

Overview

During the first run, CMS collected and processed more than 10B data events and simulated more than 15B events. Up to 100k processor cores were used simultaneously and 100PB of storage was managed. Each month petabytes of data were moved and hundreds of users accessed data samples. In this document we discuss the operational experience from this first run. We present the workflows and data flows that were executed, and we discuss the tools and services developed, and the operations and shift models used to sustain the system. Many techniques were followed from the original computing planning, but some were reactions to difficulties and opportunities. We also address the lessons learned from an operational perspective, and how this is shaping our thoughts for 2015.

• Publisher: IOP Publishing
• Subject: Computation / Computer simulation / Microprocessors / Physics / Workflow