CERN Accelerating science

ATLAS Slides
Report number	ATL-SOFT-SLIDE-2012-165
Title	ATLAS job monitoring in the Dashboard Framework
Author(s)	Andreeva, J (CERN) ; Campana, S (CERN) ; Karavakis, E (CERN) ; Kokoszkiewicz, L (CERN) ; Saiz, P (CERN) ; Sargsyan, L (A I Alikhanyan National Scientific Laboratory, Yerevan, Republic of Armenia) ; Schovancova, J (Academy of Sciences of the Czech Republic, Prague, Czech Republic) ; Tuckett, D (CERN)
Corporate author(s)	The ATLAS collaboration
Submitted to	Computing in High Energy and Nuclear Physics 2012, New York, NY, USA, 21 - 25 May 2012
Submitted by	[email protected] on 04 May 2012
Subject category	Detectors and Experimental Techniques
Accelerator/Facility, Experiment	CERN LHC ; ATLAS
Free keywords	ADC monitoring ; ATLAS job processing monitoring ; Analysis monitoring ; Production monitoring ; Historical views ; Experiment dashboard
Abstract	Monitoring of the large-scale data processing of the ATLAS experiment includes monitoring of production and user analysis jobs. The Experiment Dashboard provides a common job monitoring solution, which is shared by ATLAS and CMS experiments. This includes an accounting portal as well as real-time monitoring. Dashboard job monitoring for ATLAS combines information from PanDA job processing database, Production system database and monitoring information from jobs submitted through GANGA to Workload Management System (WMS) or local batch systems. Usage of Dashboard-based job monitoring applications will decrease load on the PanDA database and overcome scale limitations in PanDA monitoring caused by the short job rotation cycle in the PanDA database. Aggregation of the task/job metrics from different sources provides complete view of job processing activity in ATLAS scope.