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Since the start-up of the data taking in November 2009, the Large Hadron Collider (LHC) at CERN has been successfully delivering data from the proton-proton (pp), lead-lead (PbPb) and proton-lead (pPb) collisions at the energies ranging from 900 GeV to 8 TeV. The LHC experiments were continuously developing and improving their systems for the data recording and processing and as a result, these systems currently enable delivering large numbers of scientific papers within a couple of weeks after the data was recorded. The current phase of the LHC operation and data taking will end by a pPb run in February 2013, followed by the Long Shutdown 1 (LS1) intended for the LHC upgrade boosting the LHC performance to deliver luminosity of about 2 · 1034 cm2 s−1 and ultimate intensity of 1.7 · 1011 protons per bunch with 25 ns spacing. To cope with the upcoming new conditions, upgrades of the LHC experiments will be performed, both of the detectors and the online and offline data processing systems. In this contribution, we will focus on the distributed data management infrastructure used by the LHC experiments, the Worldwide LHC Computing Grid (WLCG). We will present the current status of WLCG and the experience from the three years of the LHC data taking. While the system was successfully providing the environment for the reliable data processing and a fast delivery of scientific results, the capacity of available computing resources is becoming tight. Also, the experiments are facing the necessity to transform their software for simulation, reconstruction and analysis of data as well as for the distributed data management to comply with the new technologies including the multicore computer processors and computational clouds. The corresponding strategies adopted by the LHC experiments will be discussed.

Current status of the WLCG data management system, the experience from the three years of data taking and future role of Grids for the LHC data processing