IN23E:
Leveraging Enabling Technologies and Architectures to Enable Data Intensive Science II
Tuesday, 16 December 2014: 1:40 PM-3:40 PM
Chairs: Rahul Ramachandran, NASA Marshall Space Flight Center, Huntsville, AL, United States and Daniel J Crichton, Jet Propulsion Laboratory, Pasadena, CA, United States
Primary Conveners: Thomas Huang, Jet Propulsion Laboratory, Pasadena, CA, United States
OSPA Liaisons: Morris Riedel, Jülich Supercomputing Centre, Julich, Germany
Abstracts Submitted to this Session:
2:00 PM
Integrating the Apache Big Data Stack with HPC for Big Data
Geoffrey C Fox1, Judy Qiu1 and Shantenu Jha2, (1)Indiana University Bloomington, School of Informatics and Computing, Bloomington, IN, United States, (2)Rutgers University Newark, Department of Electrical and Computer Engineering, Newark, NJ, United States
2:20 PM
Dawn: A Simulation Model for Evaluating Costs and Tradeoffs of Big Data Science Architectures
Luca Cinquini1, Daniel J Crichton1, Amy J Braverman1, Lee Kyo1, Thomas Fuchs1 and Michael Turmon2, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)JPL, Pasadena, CA, United States
3:00 PM
Shipping Science Worldwide with Open Source Containers
Justin Patrick Molineaux1, Brett Dean McLaughlin1, Daniel Pilone2, Peter G Plofchan1 and Kevin J Murphy1, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)Organization Not Listed, Washington, DC, United States
3:20 PM
The SmartH2O project: a platform supporting residential water management through smart meters and data intensive modeling
Andrea Cominola1, Rohan Nanda2, Matteo Giuliani1, Dario Piga3, Andrea Castelletti1, Andrea Emilio Rizzoli3, Alexandros Maziotis4, Paola Garrone1 and Julien J. Harou4, (1)Politecnico di Milano, Milano, Italy, (2)University of Lorraine Nancy, Nancy Cedex, France, (3)IDSIA USI/SUPSI, Manno, Switzerland, (4)University of Manchester, Manchester, United Kingdom
