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Comparing FutureGrid, Amazon EC2, and Open Science Grid for Scientific Workflows

Juve, Gideon and Rynge, Mats and Deelman, Ewa and Vöckler, Jens-S. and Berriman, G. Bruce (2013) Comparing FutureGrid, Amazon EC2, and Open Science Grid for Scientific Workflows. Computing in Science & Engineering, 15 (4). pp. 20-29. ISSN 1521-9615. https://resolver.caltech.edu/CaltechAUTHORS:20130912-154730242

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Abstract

Scientists have a number of computing infrastructures available to conduct their research, including grids and public or private clouds. This paper explores the use of these cyberinfrastructures to execute scientific workflows, an important class of scientific applications. It examines the benefits and drawbacks of cloud and grid systems using the case study of an astronomy application. The application analyzes data from the NASA Kepler mission in order to compute periodograms, which help astronomers detect the periodic dips in the intensity of starlight caused by exoplanets as they transit their host star. In this paper we describe our experiences modeling the periodogram application as a scientific workflow using Pegasus, and deploying it on the FutureGrid scientific cloud testbed, the Amazon EC2 commercial cloud, and the Open Science Grid. We compare and contrast the infrastructures in terms of setup, usability, cost, resource availability and performance.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/MCSE.2013.44 DOIArticle
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6497031PublisherArticle
ORCID:
AuthorORCID
Berriman, G. Bruce0000-0001-8388-534X
Additional Information:© 2013 IEEE. This material is based upon work supported in part by the National Science Foundation under Grants (OCI-0943725, 0910812). This research was done using resources provided by the Open Science Grid, which is supported by the NSF and the DOE’s Office of Science. The use of Amazon EC2 resources was supported by an AWS in Education research grant. G. B. Berriman is supported by the NASA Exoplanet Science Institute at the Infrared Processing and Analysis Center, operated by the California Institute of Technology in coordination with the Jet Propulsion Laboratory (JPL).
Group:Infrared Processing and Analysis Center (IPAC)
Funders:
Funding AgencyGrant Number
NSFOCI-0943725
NSFOCI-0910812
NSFUNSPECIFIED
Department of Energy (DOE)UNSPECIFIED
Amazon Web ServicesUNSPECIFIED
NASA Exoplanet Science InstituteUNSPECIFIED
Subject Keywords:Grid Computing, Cloud Computing, Scientific Workflows, Amazon EC2, Open Science Grid, FutureGrid, Astronomy
Issue or Number:4
Record Number:CaltechAUTHORS:20130912-154730242
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20130912-154730242
Official Citation:Deelman, E.; Juve, G.; Rynge, M.; Voeckler, J.; Berriman, G., "Comparing FutureGrid, Amazon EC2, and Open Science Grid for Scientific Workflows," Computing in Science & Engineering , vol.PP, no.99, pp.1,1, 0 doi: 10.1109/MCSE.2013.44 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6497031&isnumber=5232784
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:41303
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:12 Sep 2013 23:02
Last Modified:28 Oct 2019 21:11

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