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European Conference on Parallel Processing

Euro-Par 2011: Euro-Par 2011: Parallel Processing Workshops pp 96–105Cite as

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Influences between Performance Based Scheduling and Service Level Agreements

Influences between Performance Based Scheduling and Service Level Agreements

  • Antonella Galizia30,
  • Alfonso Quarati30,
  • Michael Schiffers31,33 &
  • …
  • Mark Yampolskiy32,33 
  • Conference paper
  • 1051 Accesses

  • 2 Citations

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7156)

Abstract

The allocation of resources to jobs running on e-Science infrastructures is a key issue for scientific communities. In order to provide a better efficiency of computational jobs we propose an SLA-aware architecture. The core of this architecture is a scheduler relying on resource performance information. For performance characterization we propose a two-level benchmark that includes tests corresponding to specific e-Science applications. In order to evaluate the proposal we present simulation results for the proposed architecture.

Keywords

  • resource allocation
  • benchmarks
  • scheduling
  • SLA

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References

  1. Foster, I., Kesselman, C.: The Grid: Blueprint for a New Computing Infrastructure, 2nd edn. Elsevier (2004)

    Google Scholar 

  2. Distributed European Infrastructure for Supercomputing Applications (May 10, 2011), http://www.deisa.eu/science/benchmarking

  3. Hockney, R.W.: The science of computer benchmarking. Software, environments, tools. SIAM, Philadelphia (1996)

    CrossRef  Google Scholar 

  4. Simmhan, Y., Ramakrishnan, L.: Comparison of Resource Platform Selection Approaches for Scientific Workflows. In: 19th ACM International Symposium on High Performance Distributed Computing, HPDC 2010, pp. 445–450 (2010), doi:10.1145/1851476.1851541

    Google Scholar 

  5. Clematis, A., Corana, A., D’Agostino, D., Galizia, A., Quarati, A.: Job–resource matchmaking on Grid through two-level benchmarking. Future Generation Computer Systems 26(8), 1165–1179 (2010)

    CrossRef  Google Scholar 

  6. Bode, B., et al.: The Portable Batch Scheduler and the Maui Scheduler on Linux Clusters. In: 4th Annual Linux Showcase and Conference, Atlanta, USA (2000)

    Google Scholar 

  7. Frey, J., Tannenbaum, T., Livny, M., Foster, I., Tuecke, S.: Condor-G: A Computation Management Agent for Multi-Institutional Grids. Cluster Computing 5(3), 237–246 (2002)

    CrossRef  Google Scholar 

  8. Huedo, E., Montero, R., Llorente, I.: A framework for adaptive execution in grids. Software Practice and Experience 34(7), 631–651 (2004)

    CrossRef  Google Scholar 

  9. Flops Benchmark (May 10, 2011), http://home.iae.nl/users/mhx/flops.html

  10. McCalpin, J.D.: Memory Bandwidth and Machine Balance in Current High Performance Computers. In: IEEE Technical Committee on Computer Architecture (TCCA) Newsletter (1995)

    Google Scholar 

  11. Mucci, P.J., London, K., Thurman, J.: The CacheBench Report, University of Tennessee (Cachebench Home Page) (May 10, 2011), http://icl.cs.utk.edu/projects/llcbench/cachebench.html

  12. Gropp, W., Lusk, E.: Reproducible Measurements of MPI Performance Characteristics. In: Margalef, T., Dongarra, J., Luque, E. (eds.) PVM/MPI 1999. LNCS, vol. 1697, pp. 11–18. Springer, Heidelberg (1999), http://www-unix.mcs.anl.gov/mpi/mpptest/

    CrossRef  Google Scholar 

  13. Rabenseifner, R., Koniges, A.E.: Effective File-I/O Bandwidth Benchmark. In: Bode, A., Ludwig, T., Karl, W.C., Wismüller, R. (eds.) Euro-Par 2000. LNCS, vol. 1900, pp. 1273–1283. Springer, Heidelberg (2000)

    CrossRef  Google Scholar 

  14. Tsouloupas, G., Dikaiakos, M.: GridBench: A Tool for the Interactive Performance Exploration of Grid Infrastructures. Journal of Parallel and Distributed Computing 67, 1029–1045 (2007)

    CrossRef  MATH  Google Scholar 

  15. The High Performance LINPACK Benchmark (May 10, 2011) http://www.netlib.org/benchmark/hpl/

  16. D’Agostino, D., Clematis, A., Gianuzzi, V.: Parallel Isosurface Extraction for 3D Data Analysis Workflows. Distributed Environments, Concurrency and Computation: Practice and Experience (2011), doi:10.1002/cpe.1710

    Google Scholar 

  17. Clematis, A., D’Agostino, D., Galizia, A., Quarati, A.: Profiling e-Science Infrastructures with Kernel and Application Benchmarks. Submitted for the publication in Journal of Computer Systems Science and Engineering

    Google Scholar 

  18. Casale, G., Serazzi, G.: Quantitative System Evaluation with Java Modeling Tools. In: ICPE 2011, Karlsruhe, Germany, March 14-16 (2011)

    Google Scholar 

  19. Lazowska, E.D., Zahorjan, J., Scott Graham, G., Sevcik, K.C.: Quantitative System Performance - Computer System Analysis Using Queuing Network Models. Prentice-Hall, Inc. (1984)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute for Applied Mathematics and Information Technologies, National Research Council of Italy, Genoa, Italy

    Antonella Galizia & Alfonso Quarati

  2. Ludwig-Maximilians-Universität München, Munich, Germany

    Michael Schiffers

  3. Leibniz Supercomputing Centre, Garching, Germany

    Mark Yampolskiy

  4. Munich Network Management (MNM) Team, Germany

    Michael Schiffers & Mark Yampolskiy

Authors
  1. Antonella Galizia
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  2. Alfonso Quarati
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  3. Michael Schiffers
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  4. Mark Yampolskiy
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Editor information

Editors and Affiliations

  1. Scilytics, Koellnerhofgasse 3/15A, 1010, Vienna, Austria

    Michael Alexander

  2. ICAR-CNR, Via P. Castellino, 111, 80131, Napoli, Italy

    Pasqua D’Ambra

  3. University of Amsterdam, 1090, Amsterdam, Netherlands

    Adam Belloum

  4. Innovative Computing Laboratory, The University of Tennessee, US

    George Bosilca

  5. Department of Experimental Medicine and Clinic, University Magna Græcia, 88100, Catanzaro, Italy

    Mario Cannataro

  6. Computer Science Department, University of Pisa, Italy

    Marco Danelutto

  7. Second University of Naples, Italy

    Beniamino Di Martino

  8. TUMünchen,, Boltzmannstr. 3, ,, 85748, Garching, Germany

    Michael Gerndt

  9. Equipe Runtime, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Emmanuel Jeannot & Raymond Namyst & 

  10. Equipe HIEPACS, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Jean Roman

  11. Computer Science and Mathematics Division, Oak Ridge National Laboratory, 37831-6164, Oak Ridge, TN, USA

    Stephen L. Scott

  12. Department of Scientific Computing, University of Vienna, Nordbergstr. 15/3C, 1090, Vienna, Austria

    Jesper Larsson Traff

  13. Computer Science and Mathematics Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA

    Geoffroy Vallée

  14. Technische Universität München, Germany

    Josef Weidendorfer

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Galizia, A., Quarati, A., Schiffers, M., Yampolskiy, M. (2012). Influences between Performance Based Scheduling and Service Level Agreements. In: Alexander, M., et al. Euro-Par 2011: Parallel Processing Workshops. Euro-Par 2011. Lecture Notes in Computer Science, vol 7156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29740-3_12

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  • DOI: https://doi.org/10.1007/978-3-642-29740-3_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29739-7

  • Online ISBN: 978-3-642-29740-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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