Title | ||
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An knowledge model for self-regenerative service activations adaptation across standards |
Abstract | ||
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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. |
Year | DOI | Venue |
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2005 | 10.1007/11596448_160 | CIS (1) |
Keywords | Field | DocType |
self-regenerative programming model,self-regenerative service activations adaptation,large domain,knowledge model,dependable service-oriented software system,self-regenerative system,customizable self-regenerative adaptation service,self-regenerative adaptation,cross-standard service activation,required adaptation,next generation,autonomic system,programming model,middleware | Middleware,Knowledge representation and reasoning,Autonomic computing,Programming paradigm,Computer security,Computer science,Software system,Software factory,Software architecture,Personalization | Conference |
Volume | ISSN | ISBN |
3801 | 0302-9743 | 3-540-30818-0 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
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Mengjie Yu | 1 | 55 | 2.88 |
David Llewellyn Jones | 2 | 0 | 0.34 |
A. Taleb-Bendiab | 3 | 383 | 48.64 |