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A Mathematical Predictive Model for an Autonomic System to Grid Environments

  • Conference paper
Computational Science and Its Applications – ICCSA 2005 (ICCSA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3482))

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Abstract

One of the most important aims of the Grid technology is using geographically distributed resources. Nevertheless, Grid environments have a great problem: the system management is very complex because of the large number of resources. Thus, improving the system performance is a hard task and it would be advisable to build an autonomic system in charge of the system management. The autonomic system must take decisions based on the analysis of the monitored data of the whole Grid trying to improve the system performance. These decisions should not only take into account the current conditions of the Grid but the predictions of the further future behaviour of the system too. In this sense, we propose a mathematical model to decide the optimal policy based on predictions made thanks to the known past behaviour of the system. This paper shows our model on the basis of the decision theory.

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Author information

Authors and Affiliations

  1. Computer Science School, Universidad Politécnica de Madrid, Madrid, Spain

    Alberto Sánchez & María S. Pérez

Authors
  1. Alberto Sánchez
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  2. María S. Pérez
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  2. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  3. William Norris Professor, Head of the Computer Science and Engineering, Department University of Minnesota, USA

    Vipin Kumar

  4. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganà

  5. Institute of High Performance Computing, IHCP, 1 Science Park Road, 01-01 The Capricorn, Singapore Science Park II, 117528, Singapore

    Heow Pueh Lee

  6. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  7. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  8. OptimaNumerics Ltd, Belfast, United Kingdom

    Chih Jeng Kenneth Tan

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© 2005 Springer-Verlag Berlin Heidelberg

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Sánchez, A., Pérez, M.S. (2005). A Mathematical Predictive Model for an Autonomic System to Grid Environments. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424857_12

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  • DOI: https://doi.org/10.1007/11424857_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25862-9

  • Online ISBN: 978-3-540-32045-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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