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Roadmap for Improving Volunteer Distributed Computing Project Performance

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Supercomputing (RuSCDays 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1129))

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Abstract

The methodology for improving activities of distributed computing projects with the participation of volunteers based on the results of multiparameter and index estimates is considered. Such project estimates provide a strategy for improving the work of a voluntary distributed computing project to streamline the process of building the appropriate road map. The concept of “target reference point” is introduced, with the help of which the project team, taking into account its specificity and available resource capabilities, in all parameters forms a vector of target values that are going to be achieved within a given time. Four options for selecting “targets” that set the direction of the roadmap for the development of the project of voluntary distributed computing are proposed. The results of a survey of the volunteer community on multiparameter evaluation of projects for 2016–2018 are described. The example of the Gerasim@home project shows how to improve its activities for the selected version of the targets. The results of changes in the project activities are discussed.

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Acknowledgements

This work was funded by Russian Science Foundation (№16-11-10352).

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Authors and Affiliations

  1. Institute for Information Transmission Problems of Russian Academy of Sciences, Moscow, Russia

    Vladimir Yakimets & Ilya Kurochkin

  2. The Russian Presidential Academy of National Economy and Public Administration, Moscow, Russia

    Vladimir Yakimets

Authors
  1. Vladimir Yakimets
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  2. Ilya Kurochkin
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Correspondence to Ilya Kurochkin .

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Editors and Affiliations

  1. Research Computing Center, Moscow State University, Moscow, Russia

    Vladimir Voevodin

  2. Research Computing Center, Moscow State University, Moscow, Russia

    Sergey Sobolev

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Yakimets, V., Kurochkin, I. (2019). Roadmap for Improving Volunteer Distributed Computing Project Performance. In: Voevodin, V., Sobolev, S. (eds) Supercomputing. RuSCDays 2019. Communications in Computer and Information Science, vol 1129. Springer, Cham. https://doi.org/10.1007/978-3-030-36592-9_56

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  • DOI: https://doi.org/10.1007/978-3-030-36592-9_56

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36591-2

  • Online ISBN: 978-3-030-36592-9

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