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Tools and Techniques for Measuring and Improving Grid Performance

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Book cover Distributed Computing (IWDC 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2571))

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Abstract

To better utilize its vast collection of heterogeneous resources that are geographically distributed across the United States, NASA is constructing a computational grid called the Information Power Grid (IPG). This paper describes various tools and techniques that we are developing to measure and improve the performance of a broad class of NASA applications when run on the IPG. In particular, we are investigating the areas of grid benchmarking, grid monitoring, user-level application scheduling, and decentralized system-level scheduling.

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References

  1. Arora, M., Das, S.K., Biswas, R.: A De-centralized Scheduling and Load Balancing Algorithm for Heterogeneous Grid Environments. Proc. Workshop on Scheduling and Resource Management for Cluster Computing (2002) 499–505

    Google Scholar 

  2. Atkeson, C.G., Moore, A.W., Schaal, S.: Locally Weighted Learning. Artificial Intelligence Review 11 (1997) 11–73

    Article  Google Scholar 

  3. Bailey, D.H., Barton, J.T., Lasinski, T.A., Simon, H.D. (Eds.): The NAS Parallel Benchmarks. NASA Ames Research Center TR RNR-91-002 (1991)

    Google Scholar 

  4. Foster, I., Kesselman, C. (Eds.): The Grid: Blueprint for a New Computing Infrastructure. Morgan Kauffmann (1999)

    Google Scholar 

  5. Foster, I., Kesselman, C.: Globus: A Metacomputing Infrastructure Toolkit. International Journal of Supercomputing Applications 11 (1997) 115–128

    Article  Google Scholar 

  6. Frumkin, M., Van der Wijngaart, R.F.: NAS Grid Benchmarks: A Tool for Grid Space Exploration. Cluster Computing 5 (2002) 247–256

    Article  Google Scholar 

  7. Goldberg, D.E.: Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley (1989)

    Google Scholar 

  8. Leinberger, W., Karypis, G., Kumar, V., Biswas, R.: Load Balancing Across Near-Homogeneous Multi-Resource Servers. Proc. 9th Heterogeneous Computing Workshop (2000) 60–71

    Google Scholar 

  9. Smith, W.: A Framework for Control and Observation in Distributed Environments. NASA Ames Research Center TR NAS-01-006 (2001)

    Google Scholar 

  10. Smith, W.: A System for Monitoring and Management of Computational Grids. Proc. 31st International Conference on Parallel Processing (2002) 55–62

    Google Scholar 

  11. Smith, W., Wong, P.: Resource Selection Using Execution and Queue Wait Time Predictions. NASA Ames Research Center TR NAS-02-003 (2002)

    Google Scholar 

  12. Van der Wijngaart, R.F.: NAS Parallel Benchmarks Version 2.4. NASA Ames Research Center TR NAS-02-007 (2002)

    Google Scholar 

  13. Van der Wijngaart, R.F., Frumkin, M.: NAS Grid Benchmarks Version 1.0. NASA Ames Research Center TR NAS-02-005 (2002)

    Google Scholar 

  14. Wilson, D.R., Martinez, T.R.: Improved Heterogeneous Distance Functions. Journal of Artificial Intelligence Research 6 (1997) 1–34

    MATH  MathSciNet  Google Scholar 

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© 2002 Springer-Verlag Berlin Heidelberg

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Biswas, R., Frumkin, M., Smith, W., Van der Wijngaart, R. (2002). Tools and Techniques for Measuring and Improving Grid Performance. In: Das, S.K., Bhattacharya, S. (eds) Distributed Computing. IWDC 2002. Lecture Notes in Computer Science, vol 2571. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36385-8_5

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  • DOI: https://doi.org/10.1007/3-540-36385-8_5

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00355-7

  • Online ISBN: 978-3-540-36385-9

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