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A Profiling Based Intelligent Resource Allocation System

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3681))

  • 1520 Accesses

Abstract

The work presented here is mainly concerned with the development of an intelligent resource allocation method specially focused in providing maximum satisfaction to user agents tied to resource strapped applications. One of the applications of this type of strategies is that of remote sensing in terms of energy and sensor usage. Many remote sensors or sensor arrays reside on satellites and their use must be economized, while at the same time the agency managing satellite time would like to satisfy the users as much as possible. Here we have developed a cognitive based strategy that obtains models of users and resource use in real time and uses these models to obtain strategies that are compatible with management policies. The paper concentrates in obtaining the user models.

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Author information

Authors and Affiliations

  1. Grupo Integrado de Ingeniería, Universidade da Coruña,  

    J. Monroy, Jose A. Becerra, Francisco Bellas, Richard J. Duro & Fernando López-Peña

Authors
  1. J. Monroy
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  2. Jose A. Becerra
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  3. Francisco Bellas
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  4. Richard J. Duro
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  5. Fernando López-Peña
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Monroy, J., Becerra, J.A., Bellas, F., Duro, R.J., López-Peña, F. (2005). A Profiling Based Intelligent Resource Allocation System. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552413_120

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  • DOI: https://doi.org/10.1007/11552413_120

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28894-7

  • Online ISBN: 978-3-540-31983-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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