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BaBar Experience

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11th September 2002. Tim Adye. 6. Bulk transfers SLAC- RAL. Production at SLAC has come in bursts ... 11th September 2002. Tim Adye. 12 ... – PowerPoint PPT presentation

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Title: BaBar Experience


1
BaBar Experience
  • Tim Adye
  • Rutherford Appleton Laboratory
  • PPNCG Meeting
  • Brighton
  • 11th September 2002

2
Talk Outline
  • New (more distributed) BaBar computing model
  • and its impact, especially on RAL
  • User experience
  • Transfers SLAC-gtRAL
  • Transfers UK-gtSLAC

3
New Computing Model
  • Goal is to spread computing load much more around
    the collaboration
  • Simulation production is already highly
    distributed
  • Small-scale analysis already performed
    atUniversities (9 in UK) and Regional Centres
    (eg. RAL)
  • Now have three new Tier A centres
  • Lyon Objectivity (database) analysis (since
    last year)
  • RAL Kanga (ROOT MicroDST) analysis (from May
    02)
  • Padova Reprocessing (commissioning)
  • RAL has relieved SLAC of all Kanga analysis
  • Each site requires large data transfers from and
    to SLAC

4
BaBar CPU Usage at RAL Tier A
5
User Experience
  • Now have users throughout US and Europe
  • Interactive experience is generally excellent
  • Connecting to RAL and working at RAL was very
    fast, as fast as at SLAC.
  • Uriel Nauenberg, University of Colorado at
    Boulder.
  • AFS access between UK and SLAC is still slow
  • SLAC -gt RAL AFS, RALUK -gt SLAC AFS
  • Maybe an intrinsic property of AFS with slower RTT

6
Bulk transfers SLAC-gtRAL
  • Production at SLAC has come in bursts
  • Reprocessing old data
  • Kanga production is the final (and relatively
    simple) step in a long processing chain
  • We have had no problem keeping up with steady
    state
  • Sometimes delays of 1-2 weeks to catch up with a
    burst in production
  • This is quite acceptable
  • So far, gt19 TB copied from SLAC and on disk at
    RAL
  • 15 TB since January
  • RAL is now the primary Kanga repository, so
    others in UK/Europe/US will copy from us
  • So far modest most ltlt 1TB per site (10-20 sites)

7
Kanga Data transfersbbftp SLAC-gtRAL
8
Transfer Rateper bbftp session (2-20 streams
each)
9
Bandwidth
  • Transfer rate of 5-25 Mbit/s is obviously much
    less than SLAClt-gtRAL 622 Mbit/s link
  • Actually get up to 50 Mbit/s by using multiple
    sessions (on different servers)
  • Probably several effects limit us
  • Only run a few (1-5) simultaneous sessions
  • More is cumbersome to manage
  • Currently use only a couple of 100 Mbit/s servers
    at RAL
  • Firewall problems with bbftp limit servers we can
    use
  • Will soon have dedicated import/export Gbit
    servers
  • bbftp doesnt handle small files very efficiently
  • Typical file sizes 10-500 MB
  • Will use bbcp, but requires a bug fix (on Andys
    list)
  • Not a problem at the moment

10
Transfers UK-gtSLAC
  • UK now performs 75 of total BaBar Simulation
    Production
  • Mostly at University sites, though RAL is
    starting up
  • Objectivity output files sent back to SLAC
  • Size reduced by a factor of 8 after dropping
    intermediate files
  • no longer required for most analysis
  • Output then skimmed, converted, and re-exported
    to Tier A and C sites

11
Simulation Transfers to SLAC (all sites)
12
UK Simulation ProductionA typical UK site
  • Transfer rate limited by localSLAC
    infrastructure and number of bbftp streams
    (currently 3)
  • Gaps in transfers show we are keeping up CPU is
    main limit
  • Full plots at http//www.ep.ph.bham.ac.uk/user/smi
    th/

Transfer rate
13
Summary
  • New computing model is heavily reliant on network
  • Especially UK to/from SLAC
  • User experience is good
  • but is there anything we can do about AFS?
  • Bulk transfer from and to SLAC currently limited
    by local infrastructure
  • Nevertheless, we are easily keeping up with SLAC
    and UK farm production
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