Scaling GIS Analysis Tasks from the Desktop to the Cloud Utilizing Contemporary Distributed Computing and Data Management Approaches: A Case Study of Project-based Learning and Cyberinfrastructure Concepts. Swetnam, T. L., Pelletier, J. D., Rasmussen, C., Callahan, N. R., Merchant, N., Lyons, E., Rynge, M., Liu, Y., Nandigam, V., & Crosby, C. In XSEDE16 Conference on Diversity, Big Data, and Science at Scale, of XSEDE16, pages 21:1–21:6, 2016. ACM.
Scaling GIS Analysis Tasks from the Desktop to the Cloud Utilizing Contemporary Distributed Computing and Data Management Approaches: A Case Study of Project-based Learning and Cyberinfrastructure Concepts [link]Paper  doi  bibtex   
@InProceedings{	  swetnam:2016:sga:2949550.2949573,
  Author	= {Swetnam, T. L. and Pelletier, J. D. and Rasmussen, C. and
		  Callahan, N. R. and Merchant, N. and Lyons, E. and Rynge,
		  M. and Liu, Y. and Nandigam, V. and Crosby, C.},
  Title		= {Scaling GIS Analysis Tasks from the Desktop to the Cloud
		  Utilizing Contemporary Distributed Computing and Data
		  Management Approaches: A Case Study of Project-based
		  Learning and Cyberinfrastructure Concepts},
  BookTitle	= {XSEDE16 Conference on Diversity, Big Data, and Science at
		  Scale},
  Series	= {XSEDE16},
  Year		= {2016},
  ISBN		= {978-1-4503-4755-6},
  Location	= {Miami, USA},
  Pages		= {21:1--21:6},
  articleno	= {21},
  numpages	= {6},
  URL		= {http://doi.acm.org/10.1145/2949550.2949573},
  DOI		= {10.1145/2949550.2949573},
  acmid		= {2949573},
  Publisher	= {ACM},
  Keywords	= {CyberGIS, GDAL, GRASS, Makeflow, Work Queue}
}

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