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)

Abstract

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.

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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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