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Title: BigPanDA monitoring system evolution in the ATLAS Experiment

Journal Article · · EPJ Web of Conferences (Online)
 [1];  [2];  [3];  [3];  [3]
  1. Univ. of Pittsburgh, PA (United States)
  2. Univ. of Texas, Arlington, TX (United States)
  3. Brookhaven National Laboratory (BNL), Upton, NY (United States)
+ Show Author Affiliations

Monitoring services play a crucial role in the day-to-day operation of distributed computing systems. The ATLAS Experiment at LHC uses the Production and Distributed Analysis workload management system (PanDA WMS), which allows a million computational jobs to run daily at over 170 computing centers of the WLCG and opportunistic resources, utilizing 600k cores simultaneously on average. The BigPanDA monitor is an essential part of the monitoring infrastructure for the ATLAS Experiment that provides a wide range of views, from top-level summaries to a single computational job and its logs. Over the past few years of the PanDA WMS advancement in the ATLAS Experiment, several new components were developed, such as Harvester, iDDS, Data Carousel, and Global Shares. Due to its modular architecture, the BigPanDA monitor naturally grew into a platform where the relevant data from all PanDA WMS components and accompanying services are accumulated and displayed in the form of interactive charts and tables. Moreover the system has been adopted by other experiments beyond HEP. In this paper we describe the evolution of the BigPanDA monitor system, the development of new modules, and the integration process into other experiments.

Research Organization:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP)
Contributing Organization:
PanDA team; ATLAS Distributed Computing group
Grant/Contract Number:
SC0012704
OSTI ID:
2448349
Report Number(s):
BNL--226160-2024-JAAM
Journal Information:
EPJ Web of Conferences (Online), Journal Name: EPJ Web of Conferences (Online) Vol. 295; ISSN 2100-014X
Publisher:
EDP SciencesCopyright Statement
Country of Publication:
United States
Language:
English

References (9)

Rucio: Scientific Data Management journal August 2019
The COMPASS experiment at CERN
  • Abbon, P.; Albrecht, E.; Alexakhin, V. Yu.
  • Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 577, Issue 3 https://doi.org/10.1016/j.nima.2007.03.026
journal July 2007
ATLAS Global Shares implementation in PanDA journal January 2019
Harvester : an edge service harvesting heterogeneous resources for ATLAS journal January 2019
Managing the ATLAS Grid through Harvester journal January 2020
CRIC: Computing Resource Information Catalogue as a unified topology system for a large scale, heterogeneous and dynamic computing infrastructure journal January 2020
The ATLAS Data Carousel Project Status journal January 2021
An intelligent Data Delivery Service for and beyond the ATLAS experiment journal January 2021
LSST: From Science Drivers to Reference Design and Anticipated Data Products journal March 2019

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