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Towards Self-aware PerAda Systems

  • Emma Hart
  • Ben Paechter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6209)

Abstract

Pervasive Adaptation (PerAda) refers to massive-scale pervasive information and communication systems which are capable of autonomously adapting to highly dynamic and open technological and user contexts. PerAda systems are thus a special case of collective adaptive systems which have particular constraints e.g. they are networked and highly distributed; they involve interaction with humans; they are large scale; the boundaries of systems are fluid; their context is dynamic; and they operate using uncertain information. In order to achieve their ultimate goal of adapting seamlessly to their users and to deliver the expected quality of service at all times, we propose that these systems must exhibit self-awareness. This position statement proposes mechanisms by which self-awareness might be achieved.

Keywords

User Context Uncertain Information Natural Immune System Model Drive Engineer Functional Essence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Callard, R., Stark, J.: Networks of the Immune System. In: Biological Networks. World Scientific Publishing, Singapore (2007)Google Scholar
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    Cohen, I.: Immune system computation and the immunological homunculus. In: Model Driven Engineering Languages and Systems, pp. 499–512. Springer, Heidelberg (2006)CrossRefGoogle Scholar
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    Cohen, I.: Real and artificial immune systems; computing the state of the body. Nature Reviews Immunology (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Emma Hart
    • 1
  • Ben Paechter
    • 1
  1. 1.Edinburgh Napier University 

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