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aCT: an introduction 1 History NorduGrid model was built on philosophy of ARC-CE and distributed storage No local storage - data staging on WN is too inefficient No middleware or network connectivity on WN Everything

  1. aCT: an introduction 1

  2. History ● NorduGrid model was built on philosophy of ARC-CE and distributed storage No local storage - data staging on WN is too inefficient ○ ○ No middleware or network connectivity on WN Everything grid-related was delegated to ARC-CE ○ ● Panda and pilot model did not fit easily ○ An intermediate service was needed to fake the pilot and submit to ARC behind the scenes ○ ~2008 ARC Control Tower (aCT) was written by Andrej and ran in Ljubljana ○ 2013-14 aCT2 was written and the service moved to CERN ■ Multi-process instead of multi-thread, MySQL instead of sqlite ○ 2015-17 Many sites moved from CREAM CE to ARC CE ■ Creation of truepilot mode 2

  3. APF vs aCT (NorduGrid mode) 3

  4. NorduGrid mode ● AGIS: pilotmanager = aCT, copytool = mv aCT has to emulate certain parts of the pilot ● ○ getJob(), updateJob() ● Post-processing Pilot creates pickle of job info and metadata xml of output files ○ ○ ARC wrapper creates tarball of these files along with pilot log aCT downloads this tarball after job has completed ○ ○ Log is copied to web area for access via bigpanda stdout links Pickle info is altered to set schedulerid and log url ○ ○ Output files are validated (check size and checksum on storage vs pilot xml) Job info and xml are sent to panda with final heartbeat ○ ● If job fails badly (pilot crash or batch system kill) and no pilot info is available ○ aCT sends what it can to Panda ○ Error info and timings from the CE 4

  5. True pilot AGIS: pilotmanager = aCT, copytool != mv ● ● For sites running ARC CE who do not need the full “native” mode with staging etc aCT fetches the payload and submits it to ● the ARC-CE ARC-CE submits the batch job with ● predefined payload and requirements Pilot on the worker node does the same ● as on the conventional pilot sites, but skips the fetching of payload from PanDA ● aCT sends heartbeats to Panda up until job is running, then leaves it to pilot 5

  6. Event service (NorduGrid mode) ● For SuperMUC HPC and ES on BOINC, aCT prefetches events getEventRanges() is called directly after getJob() ○ ○ A file with the eventranges is uploaded to the CE when job is submitted If pilot sees the eventranges file it uses it instead of asking Panda ○ ● When job finishes, metadata xml is copied back to aCT to see which events were done aCT calls updateEventRanges() with the completed events ● For true pilot ES jobs aCT does nothing special ● 6

  7. General Architecture ● Overview in this doc 7

  8. aCT Daemons ATLAS Daemons: aCTPandaGetJob: Queries panda for activated jobs and if there are any, gets jobs ● aCTAutopilot: Sends heartbeats every 30 mins for each job and final heartbeats ● aCTAGISFetcher: Downloads panda queue info from AGIS every 10 minutes. This info is used to know which queues to serve and ● the CE endpoints. ARC Daemons (use python ARC client library): aCTSubmitter: Submits jobs to ARC CE ● aCTStatus: Queries status of jobs on ARC CE ● aCTFetcher: Downloads output of finished jobs from ARC CE (pilot log file to put on web area, pickle/metadata files used in final ● heartbeat report to panda) aCTCleaner: Cleans finished jobs on ARC CE ● aCTProxy: Periodically generates a new VOMS proxy with 96h lifetime ● Internal Daemons: aCTPanda2Arc: Converts panda job descriptions to ARC job descriptions and configures ARC job parameters from AGIS queue ● and panda job info aCTValidator: Validates finished jobs (checksum of output files on storage etc) and processes pilot info for final heartbeat report ● 8

  9. Service setup and configuration ● 2 prod machines and 2 dev machines at CERN Prod machines use MySQL DBonDemand, dev machines have local MySQL ● ● Configuration is via 2 xml files, one for ARC and one for ATLAS ● One prod machine runs almost all jobs ● One prod machine is warm spare running one job per queue <maxjobs>1</maxjobs> can be changed if main machine goes down ○ ● Central services admin twiki 9

  10. Current status ● ~200k jobs per day from one machine ● Peak 250k jobs per day ● Increase in last couple of months probably FZK 10

  11. Sites served NorduGrid ● T1: FZK, RAL, NDGF (4 sites), TAIWAN Truepilot T2: CSCS, DESY, LRZ, TOKYO, MPPMU, BERN, WUPPERTAL, SiGNET, LUNARC ● ● T3: ARNES, SiGNET-NSC, UNIGE ● HPC: CSCS (PizDaint), LRZ (SuperMUC), IN2P3-CC (IDRIS, in testing), MPPMU (Draco + Hydra), SCEAPI (4 CN HPCs) Clouds: UNIBE Switch cloud ● ● Others: BOINC ● Full list at https://aipanda404.cern.ch/data/aCTReport.html 11

  12. Unified queues ● Only change required in aCT was to take corecount from job instead of queue ● FZK went from 7 to 3 (soon 2) queues 12

  13. Panda communication ● getJob, updateJob, getJobStatisticsWithLabel (to check for activated jobs) getEventRanges, updateEventRanges ● ● Heartbeats sent every 30 mins or after status change ○ ~70k heartbeats/hour = 20Hz A single process handles all jobs ○ ○ A slight problem in communication with panda server can lead to large backlog Solutions: ○ ■ Heartbeat-less jobs while job is under aCT’s control? Only send heartbeat when status changes ● ● When truepilot job is running it sends normal heartbeats Bulk updateJob in panda server ■ 13

  14. Condor submission ● Separate DB table for condor jobs ● Submitter/Status/Fetcher/Cle aner for Condor ● Panda2Condor to convert pandajob to ClassAd ● Truepilot only 14

  15. Condor submission ● Prototype has been implemented using condor python bindings ( >= 8.5.8 needed) ● Using standard EU pilot wrapper import htcondor ○ with one modification to copy the job description to working dir sub = htcondor.Submit(dict(jobdesc)) ● Submitter adds with schedd.transaction() as txn: ○ ‘GridResource’: ‘condor ce506.cern.ch ce506.cern.ch:9619’ jobid = sub.queue(txn) return jobid One example job ● ○ https://bigpanda.cern.ch/job?pandaid=3696722817 {'Arguments': '-h IN2P3-LAPP-TEST -s IN2P3-LAPP-TEST -f false -p 25443 -w https://pandaserver.cern.ch', 'Cmd': 'runpilot3-wrapper.sh', 'Environment': 'PANDA_JSID=aCT-atlact1-2;GTAG=http://pcoslo5.cern.ch/jobs/IN2P3-LAPP-TEST/2017-11-07/$(Clu ster).$(Process).out;APFCID=$(Cluster).$(Process);APFFID=aCT-atlact1-2;APFMON=http://apfmon .lancs.ac.uk/api;FACTORYQUEUE=IN2P3-LAPP-TEST', 'Error': '/var/www/html/jobs/IN2P3-LAPP-TEST/2017-11-07/$(Cluster).$(Process).err', 'JobPrio': '100', ← -- taken from job description 'MaxRuntime': '172800', ← -- taken from job description or queue 'Output': '/var/www/html/jobs/IN2P3-LAPP-TEST/2017-11-07/$(Cluster).$(Process).out', 'RequestCpus': '1', ← -- taken from job description 'RequestMemory': '2000', ← -- taken from job description or queue 'TransferInputFiles': '/home/dcameron/dev/aCT/tmp/inputfiles/3697087936/pandaJobData.out', 'Universe': '9', 'UserLog': '/var/www/html/jobs/IN2P3-LAPP-TEST/2017-11-07/$(Cluster).$(Process).log', 15 'X509UserProxy': '/home/dcameron/dev/aCT/proxies/proxiesid5'}

  16. Future plans ● Move code from gitlab to github Rename to ATLAS Control Tower (since it’s not ARC-specific any more) ● ● Better monitoring through APFmon, then harvester monitoring in bigpanda 16

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