The application of cloud computing to astronomy: A study of cost and performance

被引：27

作者：

Berriman G.B. ^{[1
]}

Juve G. ^{[2
]}

Deelman E. ^{[2
]}

Regelson M. ^{[3
]}

Plavchan P. ^{[1
]}

机构：

[1] Infrared Processing and Analysis Center, California Institute of Technology, Pasadena, CA

[2] Information Sciences Institute, University of Southern California, Marina del Rey, CA

[3] Raytheon Information Technology Services, Pasadena, CA

来源：

Proceedings - 6th IEEE International Conference on e-Science Workshops, e-ScienceW 2010 | 2010年

关键词：

Cloud computing; E-Science; Exoplanets; Formatting; High-performance computing; Image mosaics; Image processing; Light curves; Periodograms; Transiting planets;

D O I：

10.1109/eScienceW.2010.10

中图分类号：

学科分类号：

摘要：

Cloud computing is a powerful new technology that is widely used in the business world. Recently, we have been investigating the benefits it offers to scientific computing. We have used three workflow applications to compare the performance of processing data on the Amazon EC2 cloud with the performance on the Abe high-performance cluster at the National Center for Supercomputing Applications (NCSA). We show that the Amazon EC2 cloud offers better performance and value for processor- and memory-limited applications than for I/O-bound applications. We provide an example of how the cloud is well suited to the generation of a science product: an atlas of periodograms for the 210,000 light curves released by the NASA Kepler Mission. This atlas will support the identification of periodic signals, including those due to transiting exoplanets, in the Kepler data sets. © 2010 IEEE.

引用

页码：1 / 7

页数：6

共 9 条

[1]

Jacob J.C., Katz D.S., Berriman G.B., Good J., Laity A.C., Deelman E., Kesselman C., Singh G., Su M.-H., Prince T.A., Williams R., Montage: A grid portal and software toolkit for science-grade astronomical image mosaics, Int. J. Computational Science and Engineering, 4, 2, (2010)

[2]

Berriman G.B., Deelman E., Groth P., Juve G., The application of cloud computing to the creation of image mosaics and management of their provenance, SPIE Conference 7740: Software and Cyberinfrastructure for Astronomy (GET REF), 2010, (2010)

[3]

Juve G., Deelman E., Vahi K., Mehta G., Berriman G.B., Berman B.P., Maechling P., Scientific workflow applications on amazon EC2, Cloud Computing Workshop in Conjunction with E-science Oxford, (2010)

[4]

Deelman E., Et al., Pegasus: A framework for mapping complex scientific workflows onto distributed systems, Scientific Programming, 13, (2005)

[5]

Litzkow M.J., Et al., Condor: A hunter of idle workstations, 8th International Conference on Distributed Computing Systems, pp. 104-111, (1988)

[6]

Horne K.D., Baliunas S.L., Ap J, 302, (1986)

[7]

Scargle J.D., Ap J, 263, (1982)

[8]

Kovacs G., Zucker S., Mazeh T., A&A, 391, (2002)

[9]

Plavchan P., Jura M., Kirkpatrick J.D., Cutri R.M., Gallagher J.S., ApJS, 175, (2008)

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