Session 7A Cloud Computing for Environmental Data Processing and Display: Promise versus Practice. Part II

Tuesday, 14 January 2020: 3:00 PM-4:00 PM
157C (Boston Convention and Exhibition Center)
Host: 36th Conference on Environmental Information Processing Technologies
Cochairs:
Eugene Burger, NOAA/ERL/PMEL, NOAA Pmel, Seattle, WA; Tiffany C. Vance, NOAA, NOS/IOOS, Silver Spring, MD and Kevin R. Tyle, SUNY, Atmospheric & Environmental Sciences, Albany, NY

This session will delve into cloud hosting solutions applied to benefit the environmental sciences and specifically applications for processing and displaying environmental information. Cloud computing have moved beyond the model of simple VM hosting, towards more sophisticated specialized hosting options such as co-locating large to big data in the cloud with analysis programs and developing new models and modeling platforms in the cloud. While cloud hosting does present many solutions, migrating legacy application to a cloud platform is challenging. Presentations on the cloud migration challenges or hosting limitations and how these constraints were resolved for weather, ocean, or climate relevant applications will be welcomed. Presentations might also include novel uses of the cloud and real-world use cases including costs and platform selection.

Papers:
3:00 PM
7A.1
DyNamo: Scalable Weather Workflow Processing in the Academic Multicloud
Eric Lyons, Univ. of Massachusetts Amherst, Amherst, MA; and M. Zink, A. Mandal, C. Wang, P. Ruth, C. Radhakrishnan, G. Papadimitriou, E. Deelman, K. Thareja, and I. Rodero
3:15 PM
7A.2
Cloud Native Data Processing and Visualizations Techniques for Earth Science Data
Ajinkya Kulkarni, Univ. of Alabama in Huntsville, Huntsville, AL; and H. Conover, A. Marouane, T. Berendes, B. Ellingson, G. T. Stano, and S. J. Graves

3:30 PM
7A.4
Cloud Computing Support for the Weather Research and Forecasting Model
Kelly K. Werner, NCAR, Boulder, CO; and J. G. Powers and D. Gill
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner