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.
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Notes
- 1.
The authors thank J. Eberle, J.-P. Calbimonte, and A. Marjovi for helpful discussions around this concept and for this label.
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Knapp, J., Elo, M., Shaeffer, J., Flikkema, P.G. (2015). Towards Intelligent Closed-Loop Workflows for Ecological Research. In: Ravela, S., Sandu, A. (eds) Dynamic Data-Driven Environmental Systems Science. DyDESS 2014. Lecture Notes in Computer Science(), vol 8964. Springer, Cham. https://doi.org/10.1007/978-3-319-25138-7_10
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