• Media type: E-Article
  • Title: The IceProd framework: Distributed data processing for the IceCube neutrino observatory
  • Contributor: Aartsen, M. G. [Author]; Abbasi, R. [Author]; Baker, M. [Author]; Hebecker, D. [Author]; Heereman, D. [Author]; Heinen, D. [Author]; Helbing, K. [Author]; Hellauer, R. [Author]; Hickford, S. [Author]; Hill, G. C. [Author]; Hoffman, K. D. [Author]; Hoffmann, R. [Author]; Homeier, A. [Author]; Barwick, S. W. [Author]; Hoshina, K. [Author]; Huang, F. [Author]; Huelsnitz, W. [Author]; Hulth, P. O. [Author]; Hultqvist, K. [Author]; Hussain, S. [Author]; Ishihara, A. [Author]; Jacobi, E. [Author]; Jacobsen, J. [Author]; Jagielski, K. [Author]; [...]
  • Published: Elsevier, 2015
  • Published in: Journal of parallel and distributed computing 75, 198 - 211 (2015). doi:10.1016/j.jpdc.2014.08.001
  • Language: English
  • DOI: https://doi.org/10.1016/j.jpdc.2014.08.001
  • ISSN: 0743-7315; 1096-0848
  • Origination:
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  • Description: IceCube is a one-gigaton instrument located at the geographic South Pole, designed to detect cosmic neutrinos, identify the particle nature of dark matter, and study high-energy neutrinos themselves. Simulation of the IceCube detector and processing of data require a significant amount of computational resources. This paper presents the first detailed description of IceProd, a lightweight distributed management system designed to meet these requirements. It is driven by a central database in order to manage mass production of simulations and analysis of data produced by the IceCube detector. IceProd runs as a separate layer on top of other middleware and can take advantage of a variety of computing resources, including grids and batch systems such as CREAM, HTCondor, and PBS. This is accomplished by a set of dedicated daemons that process job submission in a coordinated fashion through the use of middleware plugins that serve to abstract the details of job submission and job management from the framework.
  • Access State: Open Access