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1.
Exploring the self-service model to visualize the results of the ATLAS Machine Learning analysis jobs in BigPanDA with Openshift OKD3 / Stan, Ioan-Mihail (U. Polytechnic Bucharest (main)) ; Padolski, Siarhei (Brookhaven Natl. Lab.) ; Lee, Christopher Jon (SUNY, Stony Brook) /ATLAS Software and Computing Collaboration
A large scientific computing infrastructure must offer versatility to host any kind of experiment that can lead to innovative ideas. The ATLAS experiment offers wide access possibilities to perform intelligent algorithms and analyze the massive amount of data produced in the Large Hadron Collider at CERN. [...]
2021 - 11 p. - Published in : EPJ Web Conf. 251 (2021) 02009 Fulltext: PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.02009
2.
Exploring the self-service model to visualize the results of the ATLAS Machine Learning analysis jobs in BigPanDA with Openshift OKD3 / Stan, Ioan-Mihail (speaker) (University Politehnica of Bucharest (RO))
A large scientific computing infrastructure must offer versatility to host any kind of experiment that can lead to innovative ideas. The ATLAS experiment offers wide access possibilities to perform intelligent algorithms and analyze the massive amount of data produced in the Large Hadron Collider at CERN. [...]
2021 - 674. Conferences; 25th International Conference on Computing in High Energy & Nuclear Physics External links: Talk details; Event details In : 25th International Conference on Computing in High Energy & Nuclear Physics
3.
Exploring the self-service model to visualize the results of the ATLAS Machine Learning analysis jobs in BigPanDA with Openshift OKD3 / Stan, Ioan-Mihail (University Politehnica Bucharest) ; Padolski, Siarhei (Brookhaven National Laboratory (BNL)) ; Lee, Christopher Jon (Stony Brook University)
A large scientific computing infrastructure must provide sufficient versatility to host any kind of experiment that can lead to innovative ideas and great discoveries. [...]
ATL-SOFT-PROC-2021-016.
- 2021. - 12 p.
Original Communication (restricted to ATLAS) - Full text
4.
Exploring the self service model to visualize the results of the ATLAS Machine Learning analysis jobs in BigPanDA with Openshift OKD3 / Stan, Ioan-Mihail (University Politehnica of Bucharest (RO)) ; Padolski, Siarhei (Brookhaven National Laboratory (US)) ; Lee, Chris (Stony Brook University (US)) /ATLAS Collaboration
N/A
ATL-SOFT-SLIDE-2021-121.- Geneva : CERN, 2021 - 10 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
5.
ATLAS BigPanDA Monitoring and Its Evolution / Wenaus, Torre (Brookhaven National Laboratory (BNL)) ; Padolski, Siarhei (Brookhaven National Laboratory (BNL)) ; Korchuganova, Tatiana (CERN Tier-0) /ATLAS Collaboration
BigPanDA is the latest generation of the monitoring system for the Production and Distributed Analysis (PanDA) system. The BigPanDA monitor is a core component of PanDA and also serves the monitoring needs of the new ATLAS Production System Prodsys-2. [...]
ATL-SOFT-SLIDE-2016-370.- Geneva : CERN, 2016 - 15 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
6.
ATLAS BigPanDA Monitoring / Padolski, Siarhei (Brookhaven National Laboratory (BNL)) ; Alekseev, Aleksandr (CERN Tier-0) ; Korchuganova, Tatiana (CERN Tier-0) ; Klimentov, Alexei (Brookhaven National Laboratory (BNL)) ; Wenaus, Torre (Brookhaven National Laboratory (BNL))
BigPanDA monitoring is a web-based application that provides various processing and representation of the Production and Distributed Analysis (PanDA) system objects states. [...]
ATL-SOFT-PROC-2017-069.
- 2018-10-18. - 5 p.
Original Communication (restricted to ATLAS) - Full text - Full text
7.
ATLAS BigPanDA Monitoring / Padolski, Siarhei (Brookhaven National Laboratory (BNL)) ; Wenaus, Torre (Brookhaven National Laboratory (BNL)) ; Klimentov, Alexei (Brookhaven National Laboratory (BNL)) ; Korchuganova, Tatiana (CERN Tier-0) ; Alekseev, Aleksandr (CERN Tier-0) /ATLAS Collaboration
BigPanDA monitoring is a web based application which provides various processing and representation of the Production and Distributed Analysis (PanDA) system objects states. Analyzing hundreds of millions of computation entities such as an event or a job BigPanDA monitoring builds different scale and levels of abstraction reports in real time mode. [...]
ATL-SOFT-SLIDE-2017-649.- Geneva : CERN, 2017 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Seattle, WA, USA, 21 - 25 Aug 2017
8.
The BigPanDA self-monitoring alarm system for ATLAS / Alekseev, Aleksandr (CERN Tier-0) ; Korchuganova, Tatiana (CERN Tier-0) ; Padolski, Siarhei (Brookhaven National Laboratory (BNL))
The BigPanDA monitoring system is a Web-application created to deliver the real-time analytics, covering many aspects of the ATLAS experiment distributed computing. [...]
ATL-SOFT-PROC-2018-054.
- 2018. - 6 p.
Original Communication (restricted to ATLAS) - Full text
9.
The BigPanDA self-monitoring alarm system for ATLAS / Alekseev, Aleksandr (CERN Tier-0) ; Korchuganova, Tatiana (CERN Tier-0) ; Padolski, Siarhei (Brookhaven National Laboratory (BNL)) /ATLAS Collaboration
The BigPanDA monitoring system is a Web application created to deliver the real-time analytics, covering many aspects of the ATLAS experiment distributed computing. The system serves about 35000 requests daily and provides critical information used as input for various decisions: from distribution of the payload among available resources to issue tracking related to any of 350k jobs running simultaneously. [...]
ATL-SOFT-SLIDE-2018-696.- Geneva : CERN, 2018 - 16 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : The 8th International Conference "Distributed Computing and Grid-technologies in Science and Education" (GRID 2018), Dubna, Russian Federation, 10 - 14 Sep 2018
10.
BigPanDA monitoring system evolution in the ATLAS experiment / Korchuganova, Tatiana (University of Pittsburgh (US)) ; Klimentov, Alexei (Brookhaven National Laboratory (US)) ; Alekseev, Aleksandr (University of Texas at Arlington (UTA)) ; Wenaus, Torre (Brookhaven National Laboratory (US)) ; Yang, Zhaoyu (Brookhaven National Laboratory (US))
Monitoring services play a crucial role in the day-to-day operation of distributed computing systems. [...]
ATL-SOFT-PROC-2023-034.
- 2024 - 8.
Original Communication (restricted to ATLAS) - Full text

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