An Engineering Computation Oriented Visual Grid Framework (original) (raw)

Abstract

Grid computing technology is a focused field in high performance computing. This paper describes an engineering computation oriented visual grid framework VGrid, which is capable to bridge the gap between currently deployed grid services and the computational applications. Based on the Globus toolkit, and coupled with a client component, a services pool and a server component, VGrid visually performs resource discovery, task schedule, and result processing. VGrid improves the efficiency of utilization of resources by introducing a logical resource concept. VGrid applications of numerical simulations in engineering sciences are demonstrated.

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Grid computing

Article 26 May 2016

References

  1. Allen, G., Seidei, E., Shalf, J.: Scientific Computing on the Grid: Tomorrow’s Dynamic Applications Will Require Computational Grids. In: Scientific Computing, Springer, Heidelberg (2002)
    Google Scholar
  2. Foster, I., Kesselman, C., Tuecke, S.: The Anatomy of the Grid: Enabling Scalable Virtual Organizations. Int. J. Supercomputing Applications 15(3) (2001)
    Google Scholar
  3. Foster, I., Kesselman, C. (eds.): The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann, San Francisco (1999)
    Google Scholar
  4. Nyguyen-Tuong, A., Chapin, S., Grimshaw, A., Viles, C.: Using Reflection for Flexibility and Extensibility in a Metacomputing Environment, Technical Report CS-98-33, Department of Computer Science, University of Virginia (1998)
    Google Scholar
  5. Nick, J., Foster, I., Kesselman, C., Tuecke, S.: The Physiology of the Grid: An Open Grid Services Architecture for Distributed Systems Integration, Open Grid Service Infrastructure WG, Global Grid Forum (2002)
    Google Scholar
  6. Globus Alliance, http://www.globus.org/research/applications/default.asp (Current September 14, 2003)
  7. Legion, A.: Worldwide Virtual Computer, http://legion.virginia.edu/overview.html (Current September 14, 2003)
  8. Foster, I., Insley, J., von Laszewski, G., Kesselman, C., Thiebaux, M.: Distance Visualization: Data Exploration on the Grid. Computer 32(12), 36–43 (1999)
    Article Google Scholar
  9. Grimshaw, A.S., Lewis, M.J., Ferrari, A.J., Karpovich, J.F.: Architectural Support for Extensibility and Autonomy in Wide-Area Distributed Object Systems1, Technical Report CS-98-12, June 3 (1998)
    Google Scholar

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Authors and Affiliations

  1. College of Computer Science, Zhejiang University, Hangzhou, 310027, P. R. China
    Guiyi Wei, Yao Zheng, Jifa Zhang & Guanghua Song
  2. Center for Engineering and Scientific Computation, Zhejiang University, Hangzhou, 310027, P. R. China
    Guiyi Wei, Yao Zheng, Jifa Zhang & Guanghua Song
  3. Hangzhou Institute of Commerce, Hangzhou, 310035, P. R. China
    Guiyi Wei

Authors

  1. Guiyi Wei
  2. Yao Zheng
  3. Jifa Zhang
  4. Guanghua Song

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Shanghai Jiatong University, 80 Dongcuan Road, 200240, Shanghai, China
    Minglu Li
  2. Department of Computer Science, Illinois Institute of Technology, Chicago, IL, USA
    Xian-He Sun
  3. Department. of Computer Science, Shanghai Jiaotong University, 1954 HuaShan Road, 200030, Shanghai, P.R. China
    Qian-ni Deng
  4. Department of Computer Science, College of Liberal Arts, University of Iowa, 52242, Iowa City, IA, USA
    Jun Ni

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© 2004 Springer-Verlag Berlin Heidelberg

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Wei, G., Zheng, Y., Zhang, J., Song, G. (2004). An Engineering Computation Oriented Visual Grid Framework. In: Li, M., Sun, XH., Deng, Qn., Ni, J. (eds) Grid and Cooperative Computing. GCC 2003. Lecture Notes in Computer Science, vol 3032. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24679-4\_16

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