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Learning from the Cell Life-Cycle: A Self-adaptive Paradigm

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Software Architecture (ECSA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6285))

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Abstract

In the software domain, self-adaptive systems are able to modify their behavior at run-time to respond to changes in the environment they run, to changes of the users’ requirements or to changes occurring in the system it-self. In life science, biological cells are power entities able to adapt to the (unpredictable) situations they incur in, in a complete decentralized fashion. Learning adaptation mechanism from the cell life-cycle, we propose in this paper a new architectural paradigm for self-adaptive software systems.

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References

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica, University of L’Aquila, Italy

    Antinisca Di Marco, Francesco Gallo & Paola Inverardi

  2. Dipartimento di Biologia di Base ed Applicata, University of L’Aquila, Italy

    Rodolfo Ippoliti

Authors
  1. Antinisca Di Marco
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  2. Francesco Gallo
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  3. Paola Inverardi
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  4. Rodolfo Ippoliti
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Editor information

Editors and Affiliations

  1. Software Development Group, IT University of Copenhagen, Rued Langgaards, Vej 7, 2300, Copenhagen, S, Denmark

    Muhammad Ali Babar

  2. Computational and Information Sciences, Pacific Northwest National Laboratory, MS: K7-90, Richland, PO Box 999, 99352, WA, USA

    Ian Gorton

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© 2010 Springer-Verlag Berlin Heidelberg

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Di Marco, A., Gallo, F., Inverardi, P., Ippoliti, R. (2010). Learning from the Cell Life-Cycle: A Self-adaptive Paradigm. In: Babar, M.A., Gorton, I. (eds) Software Architecture. ECSA 2010. Lecture Notes in Computer Science, vol 6285. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15114-9_46

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  • DOI: https://doi.org/10.1007/978-3-642-15114-9_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15113-2

  • Online ISBN: 978-3-642-15114-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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