Difference between revisions of "Atlas:Analysis HC beyond STEP09"

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* ATLAS HC Tests results : http://gangarobot.cern.ch/hc/ '''(New web interface!)'''
 
* ATLAS HC Tests results : http://gangarobot.cern.ch/hc/ '''(New web interface!)'''
 
* ATLAS STEP09 summary : http://gangarobot.cern.ch/st/summary.html
 
* ATLAS STEP09 summary : http://gangarobot.cern.ch/st/summary.html
* [http://lcg.in2p3.fr/wiki/images/STEP09-July09-ATLAS.png ATLAS STEP09 Cloud results]: Dan van der Ster & Johannes Elmsheuser (1st July 2009)
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* ATLAS STEP09 Cloud results]: Dan van der Ster & Johannes Elmsheuser (1st July 2009)
**http://lcg.in2p3.fr/wiki/images/STEP09-July09-ATLAS.png
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http://lcg.in2p3.fr/wiki/images/STEP09-July09-ATLAS.png
  
 
== ATLAS Info & Contacts ==
 
== ATLAS Info & Contacts ==

Version du 10:17, 23 octobre 2009

--Chollet 15:56, 19 octobre 2009 (CEST)

Distributed Analysis Stress Tests - HammerCloud beyond STEP09 ATLAS-HC-small.jpg

Lessons learnt from STEP09

  • Sites may identify reasonable amount of analysis they can assume and set hard limits on number of analysis running jobs
  • Balancing data across many disk servers is essential.
  • Very high i/o required by analysis (5 MB/s per job). Sites should review LAN architecture to avoid bottlenecks.

Results

http://lcg.in2p3.fr/wiki/images/STEP09-July09-ATLAS.png

ATLAS Info & Contacts

  • Information via mailing list ATLAS-LCG-OP-L@in2p3.fr
  • LPC : Nabil Ghodbane - Nabil.Ghodbane@cern.ch
  • LAL : Nicolas Makovec
  • LAPP : Stéphane Jézéquel
  • CPPM : Emmanuel Le Guirriec
  • LPSC : Sabine Crepe
  • LPNHE : Tristan Beau
  • CC-T2 : Catherine, Ghita
  • IRFU : Nathalie Besson

HC Tests

Objectives

  • Improve Cloud readiness by following site&ATLAS problems week by week (SL5 migration, site upgrades)
  • Identify best data access method per site by comparing the event rate and CPU/Walltime

https://twiki.cern.ch/twiki/bin/view/Atla/HammerCloudDataAccess#FR_cloud

  • Exercise Analysis with Conditions DB access (see where squid caching is needed) and Tag analysis

Data Access methods

Multiple data access methods are exercised

  • via Panda : A copy-to-WN access mode using rfcp is used (xrootd in ANALY-LYON)
  • via gLite WMS : 2 data access modes available
    • DQ2_LOCAL mode is a direct access mode using rfio or dcap
    • FILE_STAGER mode

Week 40

  • Muon Analysis (Release 15.3.1)
  • Input DS (STEP09) : mc08.*merge.AOD.e*_s*_r6*tid*
  • 3 HC tests of 24 hrs each :

Test 649 via Panda (mode copy-to-WN using ddcp/rfcp - xrootd in ANALY-LYON)
Test 652/656 via WMS (DQ2_LOCAL mode or direct access dcap/rfio)
Test 653/657 via WMS (FILE_STAGER mode)

Recent talks