Abstract
The unprecedented size and complexity of the ATLAS experiment required adoption of a new approach for online monitoring system development as many requirements for this system were not known in advance due to the innovative nature of the project. The ATLAS online monitoring facility has been designed as a modular system consisting of a number of independent components, which can interact with one another via a set of well-defined interfaces. The system has been developed using open source software and is based on the two in-house developed highly scalable distributed services for message passing and information exchange, which can deal with information of arbitrary types. The other monitoring components use these services to implement high-level facilities, such as Monitoring Data Archiving and Data Quality Assessment, as well as end user interfaces like the Data Quality and Online Histogramming displays. This proceedings describes the online monitoring system design and evolution showing how the chosen approach allowed the system to be gradually extended by adding more high level tools and frameworks as requirements evolved.
Highlights
The unprecedented complexity of the ATLAS experiment [1] required more than ten years for the construction of the detector apparatus, which consists of more than 140 million electronic channels receiving data at the rate of 40 MHz
The computing resources required by the Trigger and Data Acquisition (TDAQ) system [2] for handling such a rate was provided by a large computing farm consisting of about 3000 high-end machines with more than 50000 software applications running on them
In ATLAS the common algorithms library, which is shared by the off-line and on-line data quality assessment contains about 170 algorithms, which cover most of the analysis types one could use for histograms
Summary
The unprecedented complexity of the ATLAS experiment [1] required more than ten years for the construction of the detector apparatus, which consists of more than 140 million electronic channels receiving data at the rate of 40 MHz. For efficient operation of this infrastructure a highlyscalable, distributed online monitoring system was absolutely indispensable
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