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A solution looking for lots of problems: generic portals for science infrastructure

Published: 18 July 2011 Publication History

Abstract

Science gateways have dramatically simplified the work required by science communities to run their codes on TeraGrid resources. Gateway development typically spans the duration of a particular grant, with the first production runs occurring some months after the award and concluding near the end of the project. Scientists use gateways as a means to interface with large resources. Our gateway infrastructure facilitates this by hiding away the various details of the underlying resources and presents an intuitive way to interact with the resource. In this paper, we present our work on GPSI, a general-purpose science gateway infrastructure that can be easily customized to meet the needs of an application. This reduces the time to deployment and improves scientific productivity. Our contribution in this paper is two-fold: to elaborate our vision for a user-driven gateway infrastructure that includes components required by multiple science domains, thus aiding the speedy development of gateways, and presenting our experience in moving from our initial portal implementations to the current effort based on Python [15] and Django [16].

References

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Wilkins-Diehr, N., Gannon, D., Klimeck, G., Oster, S., Pamidighantam, S. 2008, "TeraGrid Science Gateways and Their Impact on Science," Computer, vol. 41, no. 11, pp. 3241, Nov. 2008.
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Dahan, M., Insley, J. A., Papka, M. E., Uram, T., and Gaither, K. P., 2007. "Enabling Science through the TeraGrid Visualization Gateway" TeraGrid '07 Conference, Madison, WI, June 14--18, 2007.
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Bertenthal, B., Grossman, R, Hanley, D., Hereld, M, Kenny, S., Levow, G., Papka, M., Porges, S., Rajavenkateshwaran, K., Stevens, R., Uram, T., and Wu, W. 2007. Social Informatics Data Grid, E-Social Science 2007 Conference, October 7-9, 2007, Ann Arbor, Michigan
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Wu, W., Papka, M. E., and Stevens, R. 2008, "Toward an OpenSocial Life Science Gateway," Grid Computing Environments Workshop, 2008. GCE '08, vol., no., pp. 1--6, 12-16 Nov. 2008
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Wu, W., Uram, T., Wilde, M., Hereld, M., and Papka. M. E., 2010. Accelerating science gateway development with Web 2.0 and Swift. In Proceedings of the 2010 TeraGrid Conference (TG '10). ACM, New York, NY, USA, Article 23, 7 pages.
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Wilkins-Diehr, N., and Lawrence, K. A. 2010, "Opening science gateways to future success: The challenges of gateway sustainability," Gateway Computing Environments Workshop (GCE), 2010, vol., no., pp. 1--10, 14-14 Nov. 2010
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Wilde, M., Foster, I., Iskra, K., Beckman, P., Zhang, Z., Espinosa, A., Hategan, M., Clifford, B., Raicu, I. 2009. Parallel Scripting for Applications at the Petascale and Beyond, IEEE Computer 42(11):50--61, Nov. 2009.
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Basney, J., Humphrey, M., and Welch, V., 2005. The MyProxy online credential repository: Research Articles. Softw. Pract. Exper. 35, 9 (July 2005), 801--816.
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Richardson, T.; Stafford-Fraser, Q.; Wood, K. R.; Hopper, A., "Virtual network computing," Internet Computing, IEEE, vol. 2, no. 1, pp. 33--38, Jan/Feb 1998
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Wang, S., Liu, Y., Wilkins-Diehr, N., and Martin, S. 2009, SimpleGrid toolkit: Enabling geosciences gateways to cyberinfrastructure, Computers & Geosciences, Volume 35, Issue 12, December 2009, Pages 2283--2294, ISSN 0098-3004.
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Git, git-scm.com
[15]
Python, www.python.org
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Cited By

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  • (2019)An Architectural Perspective of Learning AnalyticsMachine Learning Paradigms10.1007/978-3-030-13743-4_7(115-130)Online publication date: 17-Mar-2019
  • (2016)Scientific WorkflowsACM Computing Surveys10.1145/301242949:4(1-39)Online publication date: 12-Dec-2016

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  1. A solution looking for lots of problems: generic portals for science infrastructure

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      cover image ACM Other conferences
      TG '11: Proceedings of the 2011 TeraGrid Conference: Extreme Digital Discovery
      July 2011
      256 pages
      ISBN:9781450308885
      DOI:10.1145/2016741
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 18 July 2011

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      Author Tags

      1. Django
      2. Python
      3. Swift
      4. science gateway
      5. web2.0
      6. workflow

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      TG'11
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      • University of Illinois
      TG'11: TeraGrid 2011
      July 18 - 21, 2011
      Utah, Salt Lake City

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      View all
      • (2019)An Architectural Perspective of Learning AnalyticsMachine Learning Paradigms10.1007/978-3-030-13743-4_7(115-130)Online publication date: 17-Mar-2019
      • (2016)Scientific WorkflowsACM Computing Surveys10.1145/301242949:4(1-39)Online publication date: 12-Dec-2016

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