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arXiv:2007.03630cs.SE

The CMS monitoring infrastructure and applications

Christian Ariza-Porras, Valentin Kuznetsov, Federica Legger

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Abstract

The globally distributed computing infrastructure required to cope with the multi-petabytes datasets produced by the Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider (LHC) at CERN comprises several subsystems, such as workload management, data management, data transfers, and submission of users' and centrally managed production requests. The performance and status of all subsystems must be constantly monitored to guarantee the efficient operation of the whole infrastructure. Moreover, key metrics need to be tracked to evaluate and study the system performance over time. The CMS monitoring architecture allows both real-time and historical monitoring of a variety of data sources and is based on scalable and open source solutions tailored to satisfy the experiment's monitoring needs. We present the monitoring data flow and software architecture for the CMS distributed computing applications. We discuss the challenges, components, current achievements, and future developments of the CMS monitoring infrastructure.

arXiv comments
14 pages, 5 figures, submitted to Computing and Software for Big Science, see https://www.springer.com/journal/41781
Journal reference
DOI
Subjects
cs.SESoftware Engineering hep-exHigh Energy Physics, Experiment

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    • Do you work on CMS project at CERN? As I know, they successfully use VictoriaMetrics for collecting and analyzing monitoring data. See https://indico.cern.ch/event/877333/contributions/3696707/at... and https://arxiv.org/pdf/2007.03630.pdf .

      valyalaView on HNParent context

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