Towards Intelligent Closed-Loop Workflows for Ecological Research View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2015

AUTHORS

JD Knapp , Matias Elo , James Shaeffer , Paul G. Flikkema

ABSTRACT

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. More... »

PAGES

100-111

References to SciGraph publications

Book

TITLE

Dynamic Data-Driven Environmental Systems Science

ISBN

978-3-319-25137-0
978-3-319-25138-7

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-25138-7_10

DOI

http://dx.doi.org/10.1007/978-3-319-25138-7_10

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1009915890


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