Abstract
ALICE is one of the experiments under installation at CERN Large Hadron Collider (LHC), dedicated to the study of heavy-ion collisions. The final ALICE data acquisition system has been installed and is being used for the testing and commissioning of detectors. Online data quality monitoring is an important part of the DAQ software framework, DATE. In this paper, we overview the implementation and usage experience of the interactive tool MOOD used for the commissioning period of ALICE, and we present the architecture of the automatic data quality monitoring framework, a distributed application aimed at producing, collecting, analyzing, visualizing, and storing monitoring data in a large experiment-wide scale.
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