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Building Applications from a Web Service based Component Architecture

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Component Models and Systems for Grid Applications

Abstract

This chapter describes an approach to building large-scale, distributed applications based on a software component composition model that allows web services to be used as the basic units. The approach extends the Common Component Architecture used in many parallel supercomputer applications, from static composition of directly coupled processes to a system that incorporates mediated workflow between remote services. The system also allows legacy applications to be easily wrapped as a component and executed from a service factory. We motivate the work in terms of a large, distributed application for modeling severe storms. The entire system is based on a three-level architecture with a portal providing the user interface, a set of security and factory service utilities in the middle and the application services and components in the back-end.

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References

  1. M. Agarwal, and M. Parashar. Enabling Autonomic Compositions in Grid Environments. Proceedings of 4th International Workshop on Grid Computing (Grid 2003), Phoenix, AZ, USA, IEEE Computer Society Press, pp. 34–41, November 2003.

    Google Scholar 

  2. J. Alameda, Orchestrating Applications on Remote Resources, a powerpoint presentation, www.grids-center.org/train/GRIDS-Alameda.ppt.

    Google Scholar 

  3. Argonne National Lab. Commodity Grid Toolkit. http://www.globus.org/cog. 2004.

    Google Scholar 

  4. R. Armstrong, D. Gannon, A. Geist, K. Keahey, S. Kohn, L. McInnes, S. Parker, and B. Smolinski. Towards a common component architecture for high performance scientific computing. In Proceedings of Eighth IEEE International Symposium on High Performance Distributed Computing, 1998.

    Google Scholar 

  5. Business Process Execution Language for Web Services Version 1.1. http://www-106.ibm.com/developerworks/library/ws-bpel/

    Google Scholar 

  6. H. Casanova and J. Dongarra. NetSolve: a network server for solving computational science problems. In Proceedings Supercomputing (SC 96).

    Google Scholar 

  7. D. Churches, G. Gombas, A. Harrison, J. Maassen, C. Robinson, M. Shields, I. Taylor, and I. Wang. Programming Scientific and Distributed Workflow with Triana Services, to appear. Concurrency and Computation: Practice and Experience, 2005.

    Google Scholar 

  8. Condor Dagman, http://www.cs.wisc.edu/condor/dagman/

    Google Scholar 

  9. I. Curington and M. Coutant. AVS: A flexible interactive distributed environment for scientific visualization applications. Proceedings of 2nd Eurographics Workshop on Scientific Visualization, 1991.

    Google Scholar 

  10. K.K. Droegemeier, V. Chandrasekar, R. Clark, D. Gannon, S. Graves, E. Joseph, M. Ramamurthy, R. Wilhelmson, K. Brewster, B. Domenico, T. Leyton, V. Morris, D. Murray, P. Plale, R. Ramachandran, D. Reed, J. Rushing, D. Weber, A. Wilson, M. Xue, and S. Yalda. Linked environments for atmospheric discovery (LEAD): A cyberinfrastructure for mesoscale meteorology research and education. Preprints, 20th Conference on Interactive Information Processing Systemsfor Meteorology, Oceanography, and Hydrology, Seattle, WA, American Meteorological Society, 2004.

    Google Scholar 

  11. N. Elliott, S. Kohn, and B. Smolinski. Language Interoperability for High-Performance Parallel Scientific Components. International Symposium on Computing in Object-Oriented Parallel Environments (ISCOPE). 1999

    Google Scholar 

  12. I. Foster, C. Kesselman, J. Nick, and S. Tuecke. The Physiology of the Grid: An Open Grid Services Architecture for Distributed Systems Integration, www.globus.org/research/papers/ogsa.pdf

    Google Scholar 

  13. Global Grid Forum, The Open Grid Services Infrastructure Working Group. http://www.gridforum.org/ogsi-wg, 2003.

    Google Scholar 

  14. Globus Alliance, IBM, and HP. Web Service Resource Framework. http://www.globus.org/wsrf. 2004.

    Google Scholar 

  15. GridLab, The GridSphere Portal http://www.gridsphere.org

    Google Scholar 

  16. Grid Service Extensions (GSX). http://www.extreme.indiana.edu/xgws/GSX. 2004

    Google Scholar 

  17. Java Community Process, JSR-168 Portlet Specification. http://www.jcp.org/aboutJava/communityprocess/final/jsr168/

    Google Scholar 

  18. uKepler: A System for Scientific Workflows, http://kepler.ecoinformatics.org/

    Google Scholar 

  19. S. Krishnan and D. Gannon. XCAT3: A Framework for CCA Components as OGSA Services. In HIPS 2004, 9th International Workshop on High-Level Parallel Programming Models and Supportive Environments. IEEE Computer Society Press, April 26, 2004.

    Google Scholar 

  20. A. Kropp, C. Leue, and R. Thompson. Web Services for Remote Portlets (WSRP), OASIS http://www.oasis-open.org

    Google Scholar 

  21. A. Mayer, S. McGough, N. Furmento, J. Cohen, M. Gulamali, L. Young, A. Afzal, S. Newhouse, and J. Darlington. ICENI: An Integrated Grid Middleware to support e-Science. In: Component Models and Systems for Grid Applications, pp. 109–124, Springer, 2004.

    Google Scholar 

  22. J. Novotny. Developing grid portlets using the GridSphere portal framework, http://www-106.ibm.com/developerworks/grid/library/gr-portlets/

    Google Scholar 

  23. Open Grid Computing Environment (OGCE), http://www.ogce.org.

    Google Scholar 

  24. S.G. Parker and C.R. Johnson. SCIRun: A scientific programming environment for computational steering. In Supercomputing (SC 95). IEEE Press, 1995.

    Google Scholar 

  25. A. Slominski, M. Govindaraju, D. Gannon, and R. Bramley. Design of an XML based Interoperable RMI System: SoapRMI C++/Java 1.1. Proceedings of IPDPS 2001.

    Google Scholar 

  26. G. von Laszewski, K. Amin, M. Hategan, N.J. Zaluzec, S. Hampton, and A. Rossi. GridAnt: A Client-Controllable GridWorkflow System, In Proceedings 37th Hawai’i International Conference on System Science, Jan 5-8, 2004

    Google Scholar 

  27. The Weather Research and Forecasting (WRF) Model. http://www.wrf-model.org/

    Google Scholar 

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Gannon, D., Krishnan, S., Slominski, A., Kandaswamy, G., Fang, L. (2005). Building Applications from a Web Service based Component Architecture. In: Getov, V., Kielmann, T. (eds) Component Models and Systems for Grid Applications. Springer, Boston, MA. https://doi.org/10.1007/0-387-23352-0_1

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  • DOI: https://doi.org/10.1007/0-387-23352-0_1

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-23351-2

  • Online ISBN: 978-0-387-23352-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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