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HNSciCloud CMS
status-report
Daniele Spiga and Katarzyna Dziedziniewicz-Wojcik
Setup
● CMS integrates the HNSCi Cloud resources as two distinct sites that share
the very same storage element (CERN).
○ As a matter of fact there are two distinct entries in the Glidein Factory
● This allows CMS to easily evaluate and compare the two providers
○ But this is not yet so meaningful cause we’ve not enough statistic on RHEA (see later)
● From technical perspective mapping everything under a single CMS_Site is
possible
Workflow
● Current configuration is based on CMS overflow mechanism
○ “Anything that can run at CERN can also run on HNSci Cloud” but we’ve added a filter on top
of this
● For now, we pick the campaigns that do not require to high I/O
○ Main reason for this is to fully validate the setup and make everything working (rock solid)
○ Evaluate both success rate and cpu efficiency
● Now that everything is working we’ll open to any type of workflow
○ To-do list
Resource Usage during past 30 days
CMS way over 1/4 of the resources
Ben’s monitoring page
● CMS integrated first TSystem and couple of week later RHEA.
○ We agreed to fully validate the whole setup with one of the two..
○ RHEA was off for a 1+ week,. then only 4-Core VMs (CMS requires
8 cores)
Performances: early analysis
So most of these numbers refer just to TSystem
- 10k+ jobs completed
- 80%+ success rate
- Most of the failure are not CMS related
(network issues etc.)
- 70%+ CPU efficiency
Early comments …
● From 10Km far “Everything worked out of the box”
● All the issues (very few) where due to misconfigurations (some of mine :) )..
As such everything was fixed easily
○ Many thanks to Ben and the batch team for the effective support and for all the provided
feedbacks which helped to quickly spot mistakes
● CMS uses multicore.. In order to get proper share we need to keep constant
pressure..
○ If we lose the share it takes hours (even 12+ with RHEA) to get a slot.

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HNSciCloud CMS status-report

  • 1. HNSciCloud CMS status-report Daniele Spiga and Katarzyna Dziedziniewicz-Wojcik
  • 2. Setup ● CMS integrates the HNSCi Cloud resources as two distinct sites that share the very same storage element (CERN). ○ As a matter of fact there are two distinct entries in the Glidein Factory ● This allows CMS to easily evaluate and compare the two providers ○ But this is not yet so meaningful cause we’ve not enough statistic on RHEA (see later) ● From technical perspective mapping everything under a single CMS_Site is possible
  • 3. Workflow ● Current configuration is based on CMS overflow mechanism ○ “Anything that can run at CERN can also run on HNSci Cloud” but we’ve added a filter on top of this ● For now, we pick the campaigns that do not require to high I/O ○ Main reason for this is to fully validate the setup and make everything working (rock solid) ○ Evaluate both success rate and cpu efficiency ● Now that everything is working we’ll open to any type of workflow ○ To-do list
  • 4. Resource Usage during past 30 days CMS way over 1/4 of the resources Ben’s monitoring page ● CMS integrated first TSystem and couple of week later RHEA. ○ We agreed to fully validate the whole setup with one of the two.. ○ RHEA was off for a 1+ week,. then only 4-Core VMs (CMS requires 8 cores)
  • 5. Performances: early analysis So most of these numbers refer just to TSystem - 10k+ jobs completed - 80%+ success rate - Most of the failure are not CMS related (network issues etc.) - 70%+ CPU efficiency
  • 6. Early comments … ● From 10Km far “Everything worked out of the box” ● All the issues (very few) where due to misconfigurations (some of mine :) ).. As such everything was fixed easily ○ Many thanks to Ben and the batch team for the effective support and for all the provided feedbacks which helped to quickly spot mistakes ● CMS uses multicore.. In order to get proper share we need to keep constant pressure.. ○ If we lose the share it takes hours (even 12+ with RHEA) to get a slot.