Cyberinfrastructure Support for Engineering Virtual Organization for CyberDesign

  • Tomasz Haupt
  • Nitin Sukhija
  • Mark F. Horstemeyer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7204)


Integrated Computational Material Engineering (ICME) is an emerging discipline transforming materials science. Computational engineering accelerates materials development, integrates design and manufacturing, and unifies these with the engineering design optimization process, as well as efficiently employs greater accuracy in simulation-based design. Efforts to realize this enormous and complex goal have catalyzed the development of the Engineering Virtual Organization for Cyber Design (EVOCD), which provides a cyberinfrastructure to accumulate and protect the intellectual property pertaining to selected aspects of materials science and engineering that is generated by the participants of the organization, to enforce the quality of that information, and to manage its complexity. The intellectual property includes experimental data, material models and constants, computational tools and software artifacts, and the knowledge pertaining to multiscale physics-based models for selected properties and processes. EVOCD has been developed using open source components augmented with custom modules such as a secure data repository integrated with online model calibration tools. EVOCD is available at


Virtual Organizations Knowledge Management Cyberinfrastructure Service-Oriented Software Engineering Data Repository 


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  1. 1.
  2. 2.
    The cancer biomedical informatics grid (cabig),
  3. 3.
    Community cyberinfrastructure for advanced microbial ecology research and analysis,
  4. 4.
    The earth system grid (esg),
  5. 5.
    Engineering virtual organization for cyberdesign,
  6. 6.
  7. 7.
  8. 8.
  9. 9.
  10. 10.
  11. 11.
  12. 12.
    The southern california earthquake center(scec),
  13. 13.
  14. 14.
    Datta, A.K., Jackson, V., Nandkumar, R., Zhu, W.: Cyberinfrastructure for chois - a global health initiative for obesity surveillance and control. In: PRAGMA 18, SAN Diego CA (March 2010)Google Scholar
  15. 15.
    Chappel, D.: Enterprise Service Bus: Theory and Practice. O’Reilly Media (2004)Google Scholar
  16. 16.
    Ciganek, A.P., Haines, M.N., Haseman, W.D.: Horizontal and vertical factors influencing the adoption of web services. In: HICSS (2006)Google Scholar
  17. 17.
    Cummings, J., Finholt, T., Foster, I., Kesselman, C., Lawrence, K.A.: Beyond being there: A blueprint for advancing the design, development, and evaluation of virtual organizations. Final report, National Science Foundation (March 2008)Google Scholar
  18. 18.
    Droegemeier, K.: Linked environments for atmospheric discovery (lead): A cyberinfrastructure for mesoscale meteorology research and education. In: 20th Conf. on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology, Seattle, WA (January 2004)Google Scholar
  19. 19.
    Haupt, T., Kalyanasundaram, A., Zhuk, I.: Architecture for a secure distributed repository. In: 7th IEEE/ACM International Conference on Grid Computing, pp. 200–206, No. 170-177 (September 2006) Google Scholar
  20. 20.
    Haupt, T., Kalyanasundaram, A., Zhuk, I.: Using service mashups to implement e-science portals. In: The 2010 IRAST International Congress on Computer Applications and Computer Science (CACS 2010), Singapore (December 2010)Google Scholar
  21. 21.
    Horstemeyer, M.F.: Multiscale modeling: A review. In: Leszczynski, J., Shukla, M.K. (eds.) Practical Aspects of Computational Chemistry, pp. 87–135. Springer, Netherlands (2010)Google Scholar
  22. 22.
    Horstemeyer, M.F., Bammann, D.J.: Historical review of internal state variable theory for inelasticity. International Journal of Plasticity 26(9), 1310–1334 (2010)MATHCrossRefGoogle Scholar
  23. 23.
    National Research Council (U.S.):Committee on Integrated Computational Materials Engineering: Integrated computational materials engineering: a transformational discipline for improved competitiveness and national security. National Academies Press (2008)Google Scholar
  24. 24.
    Leymann, F.: Combining web services and the grid: Towards adaptive enterprise applications. In: CAiSE Workshops (2), pp. 9–21 (2005)Google Scholar
  25. 25.
    MacKenzie, C.M., Laskey, K., Brown, P.F., Metz, R.: Reference model for service oriented architecture 1.0. Architecture 12, 1–31 (2006)CrossRefGoogle Scholar
  26. 26.
    National Science Foundation (U.S.), Cyberinfrastructure Council (National Science Foundation): Cyberinfrastructure vision for 21st century discovery (2007)Google Scholar
  27. 27.
    Orlikowski, W.J.W.: The duality of technology: rethinking the concept of technology in organizations. Working Papers 105, Massachusetts Institute of Technology (MIT), Sloan School of Management (2003)Google Scholar
  28. 28.
    Papazoglou, M.P., Traverso, P., Dustdar, S., Leymann, F.: Service-oriented computing: State of the art and research challenges. IEEE Computer 40(11), 38–45 (2007)CrossRefGoogle Scholar
  29. 29.
    Stewart, C.A., Almes, G.T., Wheeler, B.C.: Cyberinfrastructure software sustainability and reusability: Report from an nsf-funded workshop. Indiana University, Indiana University (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Tomasz Haupt
    • 1
  • Nitin Sukhija
    • 1
  • Mark F. Horstemeyer
    • 1
  1. 1.Center for Advanced Vehicular SystemsMississippi State UniversityStarkvilleUSA

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