An Knowledge Model for Self-regenerative Service Activations Adaptation Across Standards

  • Mengjie Yu
  • David Llewellyn Jones
  • A. Taleb-Bendiab
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3801)


One of the greatest challenges for dependable service-oriented software systems of next generation is coping with the complexity of required adaptation or reaction to the detected unforeseen vulnerability attacks. To this end, autonomic system[1] has been advocated as a way to design self-protective systems to defend against malicious attacks or cascading failures. However, other initiatives such as the self-regenerative system[2] adopt the biological-inspired [2, 3]notions such as natural diversity and self-immune as a main strategy to achieve the robust and adaptable self-protection. Based on an ongoing research into self-regenerative programming model, this paper presents a knowledge-centric approach for supporting the runtime automated generation of software adapters for cross-standard service activation; and argues the importance of application of a semantic knowledge to extract the notion of self-regenerative adaptation from the previous polyarchical middleware implementation. The benefit of this will be the production of a customizable self-regenerative adaptation service; and also, support for abstraction integration between domain of similar interests or others in a high-level management directed towards building autonomic systems in a large domain of interest.


Knowledge Model Service Consumer Ontology Development Autonomic Computing Software Factory 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Mengjie Yu
    • 1
  • David Llewellyn Jones
    • 1
  • A. Taleb-Bendiab
    • 1
  1. 1.School of Computing and Mathematical ScienceLiverpool John Moores UniversityLiverpoolUK

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