Comprehensible Control for Researchers and Developers facing Data Challenges

Malcolm Atkinson, Rosa Filgueira Vicente, Iraklis Klampanos, Antonis Koukourikos, Amrey Krause, Federica Magnoni, Christian M. Page, Andreas Rietbrock, Alessandro Spinuso

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The DARE platform enables researchers and their developers to exploit more capabilities to handle complexity and scale in data, computation and collaboration. Today’s challenges pose increasing and urgent demands for this combination of capabilities. To meet technical, economic and governance constraints, application communities must use use shared digital infrastructure principally via virtualisation and mapping. This requires precise abstractions that retain their meaning while their implementations and infrastructures change. Giving specialists direct control over these capabilities with detail relevant to each discipline is necessary for adoption. Research agility, improved power and retained return on intellectual investment incentivise that adoption. We report on an architecture for establishing and sustaining the necessary optimised mappings and early evaluations of its feasibility with two application communities.
Original languageEnglish
Title of host publication 2019 15th International Conference on eScience (eScience)
Place of PublicationSan Diego, California, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages311-320
Number of pages10
ISBN (Electronic)978-1-7281-2451-3
ISBN (Print)978-1-7281-2452-0
DOIs
Publication statusPublished - 19 Mar 2020
Event15th eScience International Conference - Catamaran Resort Hotel and Spa, San Diego, United States
Duration: 24 Sep 201927 Sep 2019
Conference number: 15
https://escience2019.sdsc.edu/

Conference

Conference15th eScience International Conference
Abbreviated titleeScience 2019
CountryUnited States
CitySan Diego
Period24/09/1927/09/19
Internet address

Keywords

  • conceptualisation
  • data-driven science
  • scientific workflows
  • provenance
  • HPC on cloud
  • Multi-everything CSCW

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