We describe a framework for developing autonomic computing systems, based on an analogy with the natural immune system. A detailed comparison between the autonomic computing literature and the field of cognitive immune networks is drawn, particularly with respect to ensembles of components (in automomic computing) and ensembles of cells (in immune systems). We show how current approaches to designing autonomic systems could be enriched by considering alternative design processes based on cognitive immune networks.

Artificial Immune System in the context of Autonomic Computing: integrating design paradigms / Capodieci, Nicola; Hart, E.; Cabri, Giacomo. - STAMPA. - 1:(2014), pp. 21-22. (Intervento presentato al convegno 16th Genetic and Evolutionary Computation Conference, GECCO 2014 tenutosi a Vancouver, CA nel July 12-16) [10.1145/2598394.2598502].

Artificial Immune System in the context of Autonomic Computing: integrating design paradigms

CAPODIECI, NICOLA;CABRI, Giacomo
2014

Abstract

We describe a framework for developing autonomic computing systems, based on an analogy with the natural immune system. A detailed comparison between the autonomic computing literature and the field of cognitive immune networks is drawn, particularly with respect to ensembles of components (in automomic computing) and ensembles of cells (in immune systems). We show how current approaches to designing autonomic systems could be enriched by considering alternative design processes based on cognitive immune networks.
2014
16th Genetic and Evolutionary Computation Conference, GECCO 2014
Vancouver, CA
July 12-16
1
21
22
Capodieci, Nicola; Hart, E.; Cabri, Giacomo
Artificial Immune System in the context of Autonomic Computing: integrating design paradigms / Capodieci, Nicola; Hart, E.; Cabri, Giacomo. - STAMPA. - 1:(2014), pp. 21-22. (Intervento presentato al convegno 16th Genetic and Evolutionary Computation Conference, GECCO 2014 tenutosi a Vancouver, CA nel July 12-16) [10.1145/2598394.2598502].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1005319
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