Belle Monte-Carlo Production on the Amazon EC2 Cloud

  • Martin Sevior
  • Tom Fifield
  • Nobu Katayama
Conference paper


The Belle II experiment which aims to increase the Luminosity of the KEKB collider by a factor of 50 will search for physics beyond the Standard Model through precision measurements and the investigation of rare processes in Flavour physics. The expected data rate is comparable to a current era LHC experiment with commensurate computing needs. Incorporating commercial cloud computing, such as that provided by the Amazon Elastic Compute Cloud (EC2) into the Belle II computing model may provide a lower Total Cost of Ownership for the Belle II computing solution. To investigate this possibility, we have created a system to conduct the complete Belle Monte Carlo simulation chain on EC2 to benchmark the cost and performance of the service. This paper will describe how this was achieved in addition to the drawbacks and costs of large-scale Monte Carlo production on EC2.


Cloud Computing Virtual Machine Simple Object Access Protocol Monte Carlo Data Elastic Compute Cloud 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Moore, G E 1965. Cramming more components onto integrated circuits Electronics Magazine 4Google Scholar
  2. 2.
  3. 3.
    Tsaregorodtsev A, 2009 DIRAC3 - the new generation of the LHCb grid software CHEP 2009Google Scholar
  4. 4.
  5. 5.
  6. 6.
  7. 7.
  8. 8.
  9. 9.
  10. 10.
  11. 11.
    Filesystem in userspace M Szeredi
  12. 12.
  13. 13.
    Kavanagh D, Automated Server Pool Management in JavaGoogle Scholar
  14. 14.
  15. 15.
  16. 16.
    Shiers J, 2009, Will Clouds Replace Grids? Can Clouds Replace Grids? CHEP 2009Google Scholar
  17. 17.
  18. 18.

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Martin Sevior
    • 1
  • Tom Fifield
    • 1
  • Nobu Katayama
    • 2
  1. 1.University of MelbourneMelbourneAustralia
  2. 2.KAKTsukubaJapan

Personalised recommendations