SCHEDULE: NOV 16-22, 2013
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Scibox: Online Sharing of Scientific Data via the Cloud
SESSION: Research Poster Reception
EVENT TYPE: Posters, Electronic Posters, and Education Posters
TIME: 5:15PM - 7:00PM
AUTHOR(S):Jian Huang, Xuechen Zhang, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Stephane Ethier, Scott Klasky
ROOM:Mile High Pre-Function
ABSTRACT:
Collaborative science demands global sharing of scientific data. But it cannot leverage universally accessible cloud-based infrastructures like DropBox, as those offer limited interfaces and inadequate levels of access bandwidth. We present the Scibox cloud facility for online sharing scientific data. It uses standard cloud storage solutions, but offers a usage model in which high end codes can access the cloud via the same ADIOS APIs they already use for their I/O actions, thereby naturally coupling data generation with subsequent data analytics. Extending current ADIOS IO methods, with Scibox, data upload/download volumes are controlled via D(ata)R(reduction)-functions stated by end users and applied at the data source, before data is moved, with further gains in efficiency obtained by combining DR-functions to move exactly what is needed by current data consumers. Scibox is evaluated with science applications, e.g., GTS demonstrating the potential for ubiquitous data access with substantial reductions in network traffic.
Chair/Author Details:
Jian Huang - Georgia Institute of Technology
Xuechen Zhang - Georgia Institute of Technology
Greg Eisenhauer - Georgia Institute of Technology
Karsten Schwan - Georgia Institute of Technology
Matthew Wolf - Georgia Institute of Technology
Stephane Ethier - Princeton Plasma Physics Laboratory
Scott Klasky - Oak Ridge National Laboratory
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