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tags:: readingnotes date:: 11/2019 issn:: "1094-3420, 1741-2846" issue:: 6 doi:: 10.1177/1094342019877383 title:: @Towards a computing continuum: Enabling edge-to-cloud integration for data-driven workflows pages:: 1159-1174 volume:: 33 item-type:: journalArticle access-date:: 2023-01-07T16:10:33Z original-title:: Towards a computing continuum: Enabling edge-to-cloud integration for data-driven workflows language:: en url:: http://journals.sagepub.com/doi/10.1177/1094342019877383 short-title:: Towards a computing continuum publication-title:: The International Journal of High Performance Computing Applications journal-abbreviation:: The International Journal of High Performance Computing Applications authors:: Daniel Balouek-Thomert, Eduard Gibert Renart, Ali Reza Zamani, Anthony Simonet, Manish Parashar library-catalog:: DOI.org (Crossref) links:: Local library, Web library

  • Abstract
    • Dramatic changes in the technology landscape marked by increasing scales and pervasiveness of compute and data have resulted in the proliferation of edge applications aimed at effectively processing data in a timely manner. As the levels and fidelity of instrumentation increases and the types and volumes of available data grow, new classes of applications are being explored that seamlessly combine real-time data with complex models and data analytics to monitor and manage systems of interest. However, these applications require a fluid integration of resources at the edge, the core, and along the data path to support dynamic and data-driven application workflows, that is, they need to leverage a computing continuum. In this article, we present our vision for enabling such a computing continuum and specifically focus on enabling edge-to-cloud integration to support data-driven workflows. The research is driven by an online data-driven tsunami warning use case that is supported by the deployment of large-scale national environment observation systems. This article presents our overall approach as well as current status and next steps.
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