IllustraCve Example of Distributed Analysis in ATLAS Spanish Tier2 and Tier3

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1 IllustraCve Example of Distributed Analysis in ATLAS Spanish Tier2 and Tier3 S. González, E. Oliver, M. Villaplana, A. Fernández, M. Kaci, A. Lamas, J. Salt, J. Sánchez PCI2010 Workshop Rabat, 5 th 7 th October 2011

2 The ATLAS CompuCng Challenge Since November of 2009 when LHC started: 700 millions of events recorded 66 PetaBytes stored (1 PB = million of Gigabytes) 2700 physicist (from 174 insctutes) This task has been done thanks to the Worldwide LHC Compu0ng Grid project (WLCG) Global collaboracon linking grid infrastructures References: hap://lcg.web.cern.ch/lcg/default.htm hap://atlas runquery.cern.ch hap://bourricot.cern.ch/dq2/accouncng/global_view/0 2

3 Distributed Analysis in ATLAS GRID consists of compucng resources around the world The WLCG defines different type of compucng centres in Tiers: Reference: hap://lcg.web.cern.ch/lcg/default.htm 3

4 Distributed Analysis in ATLAS ATLAS has a specifically system for ProducCon and Distributed Analysis (PANDA): Including all ATLAS requirements Highly automated Low manpower Unifies the different grid environments (EGI Glite, OSG and EGI ARC) Monitoring web pages Reference: hap://panda.cern.ch 4

5 Distributed Analysis in ATLAS For ATLAS users, GRID tools have been developed: For Data management Don Quijote 2 (DQ2) Data info: name, files, sites, number, Download and register files on GRID,.. ATLAS Metadata Interface (AMI) Data info: events number, availability For simulacon: generacon parameter, Data Transfer Request (DaTri) Users make request a set of data (datasets) to create replicas in other sites (under restriccons) For Grid jobs PanDa Client Tools from PanDa team for sending jobs in a easy way for user Ganga (Gaudi/Athena and Grid alliance) A job management tool for local, batch system and the grid 5

6 Distributed Analysis in ATLAS References: hap://twiki.cern.ch/twiki/bin/viewauth/atlas/atlascompucng 6

7 Tier2 and Tier3 examples from Spain The ATLAS Spanish Tier2 (T2 ES) consists in a federacon of 3 Spanish InsCtuCons (see Jose s talk): IFAE Barcelona (25%) UAM Madrid (25%) IFIC Valencia (50%, coordinator) The T2 ES represents 5% of the ATLAS resources (between T2s): References: J. Phys. Conf. Ser hap://indico.ific.uv.es/indico/conferencedisplay.py?confid=440 7

8 Tier2 and Tier3 examples from Spain At IFIC the Tier3 resources are being split into two parts: Resources coupled to IFIC Tier2 Grid environment Use by IFIC ATLAS users Resources are idle, used by the ATLAS community A computer farm to perform interaccve analysis (proof) outside the grid framework Reference: ATL SOFT PROC

9 Daily user accvity in Distributed Analysis An example of Distributed Analysis in heavy exocc parccles Input files Work flow: 9

10 Daily user accvity in Distributed Analysis 1) A python script is created where requirements are defined ApplicaCon address, Input, Output A replica request to IFIC Splipng 2) Script executed with Ganga/Panda Grid job is sent Just in two weeks, 6 users for this analysis sent: jobs, 64 sites, 1032 jobs ran in T2 ES (2.89%), Input: 815 datasets Output: 1270 datasets 3) Job finished successfully, output files are copied in the IFIC Tier3 Easy access for the user 10

11 New ATLAS CompuCng Model Hierarchical ATLAS CompuCng Model Tier2/3s are receiving data transfers from their assigned Tier1. New CompuCng Model (Mesh) some Tier2s (T2D) are conneccng to others Tier1s and Tier2s directly. Requirements for being/becoming a T2D are based on sacsfying transfer metrics with all Tier1s (network) and providing a certain level of commitment and reliability (robustness). Any site can replicate data from any other site. Dynamic data caching. Analysis sites receive datasets from any other site on demand based on usage paaern and possibly using a dynamic placement of datasets by centrally managed replicacon of whole datasets. Unused data is removed. Remote data access. Local jobs could access data stored at remote sites using a local caching on a file or sub file level. Panda Dynamic Data Placement (PD2P) is making replicas to other sites according the users accvity References: haps://twiki.cern.ch/twiki/bin/view/atlas/ddmoperaconsfts/#t2ds_channels haps://twiki.cern.ch/twiki/bin/viewauth/atlas/pandsdynamicdataplacement/ 11

12 New ATLAS CompuCng Model Hammercloud: Distributed Analysis tescng system For avoiding jobs go to problemacc sites Can excluded sites if test jobs are not passed Reference: haps://twiki.cern.ch/twiki/bin/view/it/hammercloud ATLAS grid tools are improving day to day For instance: automacc jobs for merging output files haps://twiki.cern.ch/twiki/bin/viewauth/atlas/ AnalysisJobOutputMerging ATLAS users can ask to Distributed Analysis Support Team (DAST, hn atlas dist analysis Problems with her/his jobs Useful for developers Improve the tools and services 12

13 Analysis Efficiency in September ATLAS Tier0 + Tier1s ANALY*_queues 13

14 Analysis Efficiency in September ATLAS Tier2s (ANALY*_queues) 14

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