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A. Valassi – LHCb on RHEA and T-Systems HNSciCloud meeting – 14th June 2018 1
LHCb on RHEA and T-Systems
Andrea Valassi (IT-DI-LCG)
HNSciCloud pilot phase open session, 14th June 2018
A. Valassi – LHCb on RHEA and T-Systems HNSciCloud meeting – 14th June 2018 2
LHCb use cases for HNSciCloud tests
• During HNSciCloud tests, LHCb only uses CPU resources
–not the storage, not the GPUs
–this is likely to be the case for any future production usage of clouds
• During HNSciCloud tests, LHCb only runs Monte Carlo Simulation jobs
–event generation (no input data) + detector simulation (no reconstruction)
–CPU intensive, output data uploaded back at the end
• MC Simulation is the largest fraction of CPU used by LHCb on the Grid
–will be even more so in LHC Run3 (data reconstruction done online)
• MC Simulation requires no data management operations
–user analysis would instead require a large operational overhead
A. Valassi – LHCb on RHEA and T-Systems HNSciCloud meeting – 14th June 2018 3
LHCb interaction with HNSciCloud resources
• Requirement: manage RHEA and TSYS as two independent sites
–separate monitoring for the two sites (see plots on following slides)
–be able to start/stop/vary job submission number/type separately
–we did not request to see RHEA sub-sites independently
•compromise between enough flexibility and not too much overhead
• Job submission via HTCondor CEs
–two separate CEs to submit batch jobs to RHEA and TSYS
–LHCb often operates cloud resources using VAC and Vcycle instead
• HTCondor CEs are managed for LHCb by CERN IT-CM
–decouple LHCb infrastructure from low-level cloud technicalities
–decouple LHCb human operations from interaction with cloud providers
A. Valassi – LHCb on RHEA and T-Systems HNSciCloud meeting – 14th June 2018 4
LHCb on RHEA and TSYS – 2½ month overview
• TSYS: shared with ALICE, ATLAS, CMS – slower start, 200-400 LHCb jobs running
• RHEA: shared almost exclusively with ALICE – three distinct phases
–1st month: 600-1000 LHCb jobs running on T-Systems and Exoscale
–2nd ~month: no resources
–more recently: ~400 LHCb jobs running on Exoscale only
RHEA consortium (1):
T-Systems + Exoscale
RHEA consortium (3):
Exoscale only
T-Systems consortium:
T-Systems
RHEA consortium (2):
no resources
A. Valassi – LHCb on RHEA and T-Systems HNSciCloud meeting – 14th June 2018 5
LHCb on RHEA and TSYS – more details
• RHEA consortium: excellent success rate (network with public IP)
– 20.6k done jobs, 1.6k failed jobs (mostly killed when Exoscale was removed)
– Job rate of Exoscale alone (~400) still lower than for Exoscale + T-Systems (~600-1000)
• Was one of top 15 sites for MC production (0.9% of total running MC jobs in LHCb)
• TSYS consortium: very high rate of jobs failed due to lost heartbeat (network with SNAT)
– 12.9k done jobs, 8.5k failed jobs (stalled, i.e. lost heartbeat)
– job rate (~300-400) generally smaller than RHEA, as TSYS also used by ATLAS and CMS

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LHCb on RHEA and T-Systems

  • 1. A. Valassi – LHCb on RHEA and T-Systems HNSciCloud meeting – 14th June 2018 1 LHCb on RHEA and T-Systems Andrea Valassi (IT-DI-LCG) HNSciCloud pilot phase open session, 14th June 2018
  • 2. A. Valassi – LHCb on RHEA and T-Systems HNSciCloud meeting – 14th June 2018 2 LHCb use cases for HNSciCloud tests • During HNSciCloud tests, LHCb only uses CPU resources –not the storage, not the GPUs –this is likely to be the case for any future production usage of clouds • During HNSciCloud tests, LHCb only runs Monte Carlo Simulation jobs –event generation (no input data) + detector simulation (no reconstruction) –CPU intensive, output data uploaded back at the end • MC Simulation is the largest fraction of CPU used by LHCb on the Grid –will be even more so in LHC Run3 (data reconstruction done online) • MC Simulation requires no data management operations –user analysis would instead require a large operational overhead
  • 3. A. Valassi – LHCb on RHEA and T-Systems HNSciCloud meeting – 14th June 2018 3 LHCb interaction with HNSciCloud resources • Requirement: manage RHEA and TSYS as two independent sites –separate monitoring for the two sites (see plots on following slides) –be able to start/stop/vary job submission number/type separately –we did not request to see RHEA sub-sites independently •compromise between enough flexibility and not too much overhead • Job submission via HTCondor CEs –two separate CEs to submit batch jobs to RHEA and TSYS –LHCb often operates cloud resources using VAC and Vcycle instead • HTCondor CEs are managed for LHCb by CERN IT-CM –decouple LHCb infrastructure from low-level cloud technicalities –decouple LHCb human operations from interaction with cloud providers
  • 4. A. Valassi – LHCb on RHEA and T-Systems HNSciCloud meeting – 14th June 2018 4 LHCb on RHEA and TSYS – 2½ month overview • TSYS: shared with ALICE, ATLAS, CMS – slower start, 200-400 LHCb jobs running • RHEA: shared almost exclusively with ALICE – three distinct phases –1st month: 600-1000 LHCb jobs running on T-Systems and Exoscale –2nd ~month: no resources –more recently: ~400 LHCb jobs running on Exoscale only RHEA consortium (1): T-Systems + Exoscale RHEA consortium (3): Exoscale only T-Systems consortium: T-Systems RHEA consortium (2): no resources
  • 5. A. Valassi – LHCb on RHEA and T-Systems HNSciCloud meeting – 14th June 2018 5 LHCb on RHEA and TSYS – more details • RHEA consortium: excellent success rate (network with public IP) – 20.6k done jobs, 1.6k failed jobs (mostly killed when Exoscale was removed) – Job rate of Exoscale alone (~400) still lower than for Exoscale + T-Systems (~600-1000) • Was one of top 15 sites for MC production (0.9% of total running MC jobs in LHCb) • TSYS consortium: very high rate of jobs failed due to lost heartbeat (network with SNAT) – 12.9k done jobs, 8.5k failed jobs (stalled, i.e. lost heartbeat) – job rate (~300-400) generally smaller than RHEA, as TSYS also used by ATLAS and CMS