Data Quality Monitoring Framework for ATLAS Experiment: Performance Achieved with Colliding Beams at LHC

With the delivery of the first proton-proton collisions by the LHC, the ATLAS collaboration had the opportunity to operate the detector under the environment it was designed for. These first runs have been of great interest not only for the high energy physics outcome, but also were used to perform a general commissioning of the system. The online data quality monitoring framework (DQMF) is a highly scalable distributed framework that is used to assess the quality of the data and the operational conditions of the detector, trigger and data acquisition system. DQMF provides quick feedback to the user about the correct functioning and performance of different parts of the detector, it quickly spots problems related with data quality and allows one to determine the origin of these problems. DQMF performs over forty thousand advanced data quality checks at a rate that depends on the histogram update frequency and it displays histograms and results of these checks on several dozens of monitors installed in the main and satellite control rooms. The DQM Display is the visualization tool that allows great flexibility for displaying the histograms (with an overlay of reference histograms when applicable), configurations used for automatic checking of those histograms, the data quality flags, and much more. The DQM configuration is stored in a database, that can be easily created and edited with the DQM Configurator tool. The first weeks of collisions data taking turned into a very successful experience for the DQMF and translated into several improvements for easy usability and efficient information transfer. This paper is describing the design and implementation of the DQMF and its display as well as the performance achieved during the first LHC beam collision runs and the recent upgrades.