SC13 Home > SC13 Schedule > SC13 Presentation - Scibox: Online Sharing of Scientific Data via the Cloud

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

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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