Open Access
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
Article Number 03056
Number of page(s) 8
Section T3 - Distributed computing
Published online 17 September 2019
  1. I. Sfiligoi et al., “The Pilot Way to Grid Resources Using GlideinWMS”, Proc. of the 2009 WRI World Congress on Computer Science and Information Engineering, Vol. 2, pages 428-432. [Google Scholar]
  2. D. Thain, T. Tannenbaum, and M. Livny, “Distributed Computing in Practice: The Condor Experience”, Concurrency and Computation: Practice and Experience, Vol. 17, No. 2-4, pages 323-356, February-April, 2005. index.html [CrossRef] [Google Scholar]
  3. J. Balcas et al., “Connecting restricted, high-availability, or low-latency resources to a seamless Global Pool for CMS”, J. Phys. Conf. Ser. 898 (2017) no. 5, 052037 [Google Scholar]
  4. B. Holzman et al., “HEPCloud, a New Paradigm for HEP Facilities: CMS Amazon Web Services Investigation”, Comput. Softw. Big. Sci. (2017) 1: 1. [CrossRef] [Google Scholar]
  5. L. Field, D. Spiga, I. Reid, et al. Comput. Softw. Big. Sci. (2018) 2: 2. [CrossRef] [Google Scholar]
  6. M. Mascheroni et al., “Recent developments in GlideinWMS: minimizing resource wastages”, CHEP18 Poster #513, in these proceedings. [Google Scholar]
  7. T. Ivanov et al., “Improving efficiency of analysis jobs in CMS”, CHEP18 Oral Presentation #379, in these proceedings. [Google Scholar]

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