BeBe data production status BeBe 160/80/40: done Software 12J, global key 11_012 Set-up/log: /afs/cern.ch/na61/Calibration/12J012/run_m/ DSPACK: /castor/cern.ch/na61/11/prod/12J012/DSPACK/run

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Presentation transcript:

BeBe data production status BeBe 160/80/40: done Software 12J, global key 11_012 Set-up/log: /afs/cern.ch/na61/Calibration/12J012/run*_m/ DSPACK: /castor/cern.ch/na61/11/prod/12J012/DSPACK/run* _m/ ROOT: /castor/cern.ch/na61/11/prod/12J012/ROOT/run*_ m/ SHOE: /castor/cern.ch/na61/11/prod/12J012/SHOE/run*_m / BeBe 13 (2012): done Software 12J, global key 12_005 Log/set-up: /afs/cern.ch/na61/Calibration/12J005/run*_m DSPACK: /castor/cern.ch/na61/12/prod/12J005/DSPACK/run* _m ROOT: /castor/cern.ch/na61/12/prod/12J005/ROOT/run*_ m SHOE: /castor/cern.ch/na61/12/prod/12J005/SHOE/run*_m BeBe 20: done Software 12J, global key 13_001 Log/set-up: /afs/cern.ch/na61/Calibration/12J001/run*_m DSPACK: /castor/cern.ch/na61/12/prod/12J001/DSPACK/run* _m ROOT: /castor/cern.ch/na61/12/prod/12J001/ROOT/run*_ m SHOE: /castor/cern.ch/na61/12/prod/12J001/SHOE/run*_m BeBe 30: done Software 12J, global key 13_001 Log/set-up: /afs/cern.ch/na61/Calibration/12J001/run*_m DSPACK: /castor/cern.ch/na61/13/prod/12J001/DSPACK/run* _m ROOT: /castor/cern.ch/na61/13/prod/12J001/ROOT/run*_ m SHOE: /castor/cern.ch/na61/13/prod/12J001/SHOE/run*_m BeBe 13 (2013): done Software 12J, global key 13_001 Log/set-up: /afs/cern.ch/na61/Calibration/12J001/run*_m DSPACK: /castor/cern.ch/na61/13/prod/12J001/DSPACK/run* _m ROOT: /castor/cern.ch/na61/13/prod/12J001/ROOT/run*_ m SHOE: /castor/cern.ch/na61/13/prod/12J001/SHOE/run*_m (from daily SHINE trunk)

General BeBe20 data was taken in 2013, but stored with raw data for 2012 on Castor Easy to move on Castor, but eLog/bookkeeping also have to be updated Any immediate plans for further processing?

Running job variations Large variations in number of parallel running jobs observed during Jan. – Feb. Variations: 0 – 1500 Often about ~10 Sometimes 0 for several hours Sometimes short spikes with 100s running jobs Usually slowest during morning (when QA processing takes place) Mainly a problem for urgent jobs like QA 100 jobs needed for QA  100 jobs / 10jobs/hour = 10 hours -> need to submit jobs at 3am for run meeting... Generally OK for less urgent tasks Help desk: priority depends on past resource consumption Possible solution: put limit on number of parallel running jobs  But then we will not be able to take advantage of idle LXBATCH... Short-term solution: prodna61 quota increased for last days of run Should we request limit on number of running jobs? Too late for the data taking now, but there might be other urgent tasks

Running job variations – plots