Program
| Time | Speaker |
|---|---|
| 9:00 | Introductions |
| 9:10 | Key Note: Noel Gorelick (Google) - Google Earth Engine |
| 10:00 | Break |
| Full Papers | |
| 10:20 | SciFlow: A Dataflow-Driven Model Architecture for Scientific Computing using Hadoop (Time Change) Pengfei Xuan, Yueli Zheng, Sapna Sarupria, and Amy Apon |
| 10:45 | Rethinking Data Management for Big Data Scientific Workflows Karan Vahi, Mats Rynge, Gideon Juve, Rajiv Mayani, and Ewa Deelman |
| 11:10 | perfSONAR: On-board Diagnostics for Big Data (Time Change) Jason Zurawski, Sowmya Balasubramanian, Aaron Brown, Ezra Kissel, Andrew Lake, Martin Swany, Brian Tierney, and Matt Zekauskas |
| 11:35 | A big data analytics framework for scientific data management Sandro Fiore, Cosimo Palazzo, Alessandro D'Anca, Ian Foster, Dean Williams, and Giovanni Aloisio |
| 12:00 | Lunch |
| Short Papers | |
| 1:30 | Complete Storm Identification Algorithms from Big Raw Rainfall Data Using MapReduce Framework Kulsawasd Jitkajornwanich, Upa Gupta, Sakthi Kumaran Shanmuganathan, Ramez Elmasri, Leonidas Fegaras, and John McEnery |
| 1:45 | Searching Inter-disciplinary Scientific Big Data based on Latent Correlation Analysis Eloy Gonzales, Bun Theang Ong, and Koji Zettsu |
| 2:00 | A Scalable Data Analysis Platform for Metagenomics Wei Tang, Jared Wilkening, Narayan Desai, Wolfgang Gerlach, Andreas Wilke, and Folker Meyer |
| Lightning Talks (1) | |
| 2:15 | John Hax - Optimizing Architectures for Graph Systems |
| 2:30 | Lavanya Ramakrishnan - Clouds: Is it the right platform for my big data analysis? |
| 2:45 | Break |
| 3:00 | Invited Speaker: Dula Parkinson (Lawrence Berkeley National Laboratory) Web interfaces and High-Performance Computing: Solutions to Data Management, Processing, and Analysis Challenges at the Advanced Light Source X-ray Facility. |
| 3:45 | Break |
| Lightning Talks (2) | |
| 4:00 | Yong Chen - Fast Data Analysis with Integrated Statistical Metadata in Scientific Datasets |
| 4:15 | Mihai Datcu - The Earth Observation Big Data Challenge: Mining Heterogenous Data |
| 4:30 | Discussion |
| 5:00 | Close Out |