DocumentCode
1783213
Title
Scibox: Online Sharing of Scientific Data via the Cloud
Author
Jian Huang ; Xuechen Zhang ; Eisenhauer, Greg ; Schwan, Karsten ; Wolf, Michael ; Ethier, Stephane ; Klasky, Scott
Author_Institution
Georgia Inst. of Technol., Atlanta, GA, USA
fYear
2014
fDate
19-23 May 2014
Firstpage
145
Lastpage
154
Abstract
Collaborative science demands global sharing of scientific data. But it cannot leverage universally accessible cloud-based infrastructures like Drop Box, 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 write/read data to/from the cloud via the APIs they already use for their I/O actions. With Scibox, data upload/download volumes are controlled via Data 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. We evaluate Scibox with science applications and their representative data analytics - the GTS fusion and the combustion image processing - demonstrating the potential for ubiquitous data access with substantial reductions in network traffic.
Keywords
application program interfaces; cloud computing; data analysis; ubiquitous computing; API; DR-functions; DropBox; GTS fusion; I-O actions; Scibox; Scibox cloud facility; collaborative science; combustion image processing; data consumers; data download volumes; data source; data upload volumes; end users; network traffic; online sharing; representative data analytics; scientific data; standard cloud storage solutions; ubiquitous data access; Analytical models; Bandwidth; Cloud computing; Data models; Distributed databases; Instruments; Standards; Cloud Storage; Data Sharing; Scientific Data;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Processing Symposium, 2014 IEEE 28th International
Conference_Location
Phoenix, AZ
ISSN
1530-2075
Print_ISBN
978-1-4799-3799-8
Type
conf
DOI
10.1109/IPDPS.2014.26
Filename
6877250
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