EPJ Web of Conferences (Jan 2020)
DAQExpert the service to increase CMS data-taking efficiency
- Badaro Gilbert,
- Behrens Ulf,
- Branson James,
- Brummer Philipp,
- Cittolin Sergio,
- Da Silva-Gomes Diego,
- Darlea Georgiana-Lavinia,
- Deldicque Christian,
- Dobson Marc,
- Doualot Nicolas,
- Fulcher Jonathan Richard,
- Gigi Dominique,
- Gladki Maciej,
- Glege Frank,
- Golubovic Dejan,
- Gomez-Ceballos Guillelmo,
- Hegeman Jeroen,
- James Thomas Owen,
- Li Wei,
- Mecionis Audrius,
- Meijers Frans,
- Meschi Emilio,
- Mommsen Remigius K.,
- Mor Keyshav,
- Morovic Srecko,
- Orsini Luciano,
- Papakrivopoulos Ioannis,
- Paus Christoph,
- Petrucci Andrea,
- Pieri Marco,
- Rabady Dinyar,
- Raychino Kolyo,
- Racz Attila,
- Rodriguez-Garcia Alvaro,
- Sakulin Hannes,
- Schwick Christoph,
- Simelevicius Dainius,
- Soursos Panagiotis,
- Stahl Andre,
- Stankevicius Mantas,
- Suthakar Uthayanath,
- Vazquez-Velez Cristina,
- Zahid Awais,
- Zejdl Petr
Affiliations
- Badaro Gilbert
- American University of Beirut
- Behrens Ulf
- Rice University
- Branson James
- University of California
- Brummer Philipp
- Cittolin Sergio
- University of California
- Da Silva-Gomes Diego
- Darlea Georgiana-Lavinia
- Massachusetts Institute of Technology
- Deldicque Christian
- CERN
- Dobson Marc
- CERN
- Doualot Nicolas
- Fulcher Jonathan Richard
- CERN
- Gigi Dominique
- CERN
- Gladki Maciej
- CERN
- Glege Frank
- CERN
- Golubovic Dejan
- CERN
- Gomez-Ceballos Guillelmo
- Massachusetts Institute of Technology
- Hegeman Jeroen
- CERN
- James Thomas Owen
- CERN
- Li Wei
- Rice University
- Mecionis Audrius
- Meijers Frans
- CERN
- Meschi Emilio
- CERN
- Mommsen Remigius K.
- FNAL
- Mor Keyshav
- CERN
- Morovic Srecko
- University of California
- Orsini Luciano
- CERN
- Papakrivopoulos Ioannis
- Paus Christoph
- Massachusetts Institute of Technology
- Petrucci Andrea
- University of California
- Pieri Marco
- University of California
- Rabady Dinyar
- CERN
- Raychino Kolyo
- CERN
- Racz Attila
- CERN
- Rodriguez-Garcia Alvaro
- CERN
- Sakulin Hannes
- CERN
- Schwick Christoph
- CERN
- Simelevicius Dainius
- Soursos Panagiotis
- CERN
- Stahl Andre
- Rice University
- Stankevicius Mantas
- Suthakar Uthayanath
- CERN
- Vazquez-Velez Cristina
- CERN
- Zahid Awais
- CERN
- Zejdl Petr
- DOI
- https://doi.org/10.1051/epjconf/202024501028
- Journal volume & issue
-
Vol. 245
p. 01028
Abstract
The Data Acquisition (DAQ) system of the Compact Muon Solenoid (CMS) experiment at the LHC is a complex system responsible for the data readout, event building and recording of accepted events. Its proper functioning plays a critical role in the data-taking efficiency of the CMS experiment. In order to ensure high availability and recover promptly in the event of hardware or software failure of the subsystems, an expert system, the DAQ Expert, has been developed. It aims at improving the data taking efficiency, reducing the human error in the operations and minimising the on-call expert demand. Introduced in the beginning of 2017, it assists the shift crew and the system experts in recovering from operational faults, streamlining the post mortem analysis and, at the end of Run 2, triggering fully automatic recovery without human intervention. DAQ Expert analyses the real-time monitoring data originating from the DAQ components and the high-level trigger updated every few seconds. It pinpoints data flow problems, and recovers them automatically or after given operator approval. We analyse the CMS downtime in the 2018 run focusing on what was improved with the introduction of automated recovery; present challenges and design of encoding the expert knowledge into automated recovery jobs. Furthermore, we demonstrate the web-based, ReactJS interfaces that ensure an effective cooperation between the human operators in the control room and the automated recovery system. We report on the operational experience with automated recovery.
