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GRID superscalar and job mapping on the reliable grid resources

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Abstract

The dynamic nature of grid computing environment requires some predictions regarding resource reliability and application performance. In such environments, avoiding resource failures is as important as the overall application performance. The aim of this work is to identify the most available, least-loaded and fastest resources for running an application. We describe a strategy for mapping the application jobs on the grid resources using GRID superscalar [8] and GAT [1].

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References

  1. G. Allen, K. Davis, T. Goodale, A. Hutanu, H. Kaiser, T. Kielmann, A. Merzky, R. van Nieuwpoort, A. Reinefeld, F. Schintke, T. Schütt, E. Seidel, B. Ullmer. The Grid Application Toolkit: Towards Generic and Easy Application Programming Interfaces for the Grid. In the proceeding of the IEEE, vol. 93(3):534-550, 2005.

    Article  Google Scholar 

  2. G. Allen, D. Angulo, T. Goodale, T. Kielmann, A. Merzky, J. Nabrzysky, J. Pukacki, M. Russell, T. Radke, E. Seidel, J. Shalf, I. Taylor. GridLab: Enabling Applications on the Grid. In proceeding of Grid Computing - GRID 2002 : Third International Workshop, 39-45, 2002.

    Google Scholar 

  3. I. Foster and C. Kesselman. Globus: A Metacomputing Infrastructure Toolkit. In Interna- tional Journal of Supercomputer Applications, vol. 11(2):115-128, 1997.

    Article  Google Scholar 

  4. V. Huber UNICORE: A Grid Computing Environment for Distributed and Parallel Computing. In Proceedings of 6th Internatioanl Conference on Parallel Computing Tech- ologies (PaCT-2001), Springer, LNCS 2127, 258-266, 2001.

    Google Scholar 

  5. S. Hwang and C. Kesselman. Grid Workflow: A Flexible Failure Handling Framework for the Grid. In the proceeding of 12th IEEE International Symposium on High Performance Distributed Computing, 126U˝ 137, 2003.

    Google Scholar 

  6. G. Gombás, C. Attila Marosi and Z. Balaton. Grid Application Monitoring and Debugging Using the Mercury Monitoring System. In Advances in Grid Computing-EGC 2005, vol. 3470:193-199, 2005.

    Google Scholar 

  7. J. Maassen, R. V. Van Nieuwpoort, T. Kielmann, K. Verstoep. Middleware Adaptation with the Delphoi Service. In Concurrency and Computation: Practice and Experience, vol. 18 (13):1659-1679, 2006.

    Article  Google Scholar 

  8. R. Sirvent, J. M. Pérez, R. M. Badia, J. Labarta. Automatic Grid workflow based on imperative programming languages. In Concurrency and Computation: Practice and Experience, vol. 18(10):1169-1186, 2006.

    Article  Google Scholar 

  9. Y. Tanaka, H. Nakada, S. Sekiguchi, T. Suzumura, and S. Matsuoka. Ninf-G: A Reference Implementation of RPC-based Programming Middleware for Grid Computing. In Journal of Grid Computing, vol. 1(1):41-51, 2003.

    Article  Google Scholar 

  10. R. Wolski, N. Spring, and J. Hayes. The NetworkWeather Service: A Distributed Resource Performance Forecasting Service for Metacomputing. In Journal of Future Generation Computing Systems,vol 15(5-6):757-768, 1999.

    Article  Google Scholar 

  11. J. Yu and R. Buyya. Taxonomy of Scientific Workflow Systems for Grid Computing. In Sigmod Record, vol. 34(3):44-49, 2005.

    Article  Google Scholar 

  12. S. Zhao and V. Lo. Result Verification and Trust-based Scheduling in Open Peer-to-Peer Cycle Sharing Systems. In IEEE Fifth International Conference on Peer-to-Peer Systems, 2005.

    Google Scholar 

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Anciaux–Sedrakian, A., Badia, R.M., Sirvent, R., Pérez, J.M., Kielmann, T., Merzky, A. (2008). GRID superscalar and job mapping on the reliable grid resources. In: Making Grids Work. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-78448-9_6

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  • DOI: https://doi.org/10.1007/978-0-387-78448-9_6

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-78447-2

  • Online ISBN: 978-0-387-78448-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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