A component platform for experimenting with autonomic composition

Françoise Baudé, Ludovic Henrio, Paul Naoumenko · 2007

In this paper, we propose a component-oriented framework that can support autonomic computing and in particular bio-inspired approaches. Starting from the Grid Component Model, a component model targeting at Grid computing and already featuring some autonomicity, we show how such a model can be used in a general autonomic computing con-text. Indeed the model provides hierarchical structure and reconfiguration for both functional and non-functional lev-els. This should ease the development of self- * and in par-ticular, self-evolving applications. With our approach, even the autonomic strategies themselves can evolve. We con-sider this model and its implementation as powerful tools for easily experimenting autonomic behaviours.

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