Towards intelligent closed-loop workflows for ecological research

J. D. Knapp, Matias Elo, James Shaeffer, Paul G Flikkema

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


Spurred by needs related to research on the effects of climate change on ecological systems, distributed facilities for ecological research are of growing importance. While software infrastructure for low-level networking services are well-established, experiments using these facilities will demand real time data-driven workflows for monitoring, model inference, and control of environmental processes. In this paper, we motivate and present a middleware-based approach that enables construction and deployment of workflows that assimilate real-time streaming data and, if necessary, command and control streams. We demonstrate the approach by developing and deploying a workflow for characterizing the round-trip delays incurred by increasing levels of software infrastructure, and using the workflow to assess time delay performance in laboratory, campus, and remote scenarios.

Original languageEnglish (US)
Title of host publicationDynamic Data-Driven Environmental Systems Science - 1st International Conference, DyDESS 2014, Revised Selected Papers
EditorsAdrian Sandu, Sai Ravela
Number of pages12
ISBN (Print)9783319251370
StatePublished - 2015
Event1st International Conference on Dynamic Data-Driven Environmental Systems Science, DyDESS 2014 - Cambridge, United States
Duration: Nov 5 2014Nov 7 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other1st International Conference on Dynamic Data-Driven Environmental Systems Science, DyDESS 2014
Country/TerritoryUnited States


  • Closed loop
  • Delay
  • Design
  • Ecology
  • Experiments
  • Middleware
  • Real-time
  • Workflows

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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