Title :
Designing Self-Aware Adaptive Systems: From Autonomic Computing to Cognitive Immune Networks
Author :
Capodieci, Nicola ; Hart, Emma ; Cabri, Giacomo
Author_Institution :
Univ. di Modena e Reggio Emilia, Modena, Italy
Abstract :
An autonomic system is composed of ensembles of heterogeneous autonomic components in which large sets of components are dynamically added and removed. Nodes within such an ensemble should cooperate to achieve system or human goals, and systems are expected to self-adapt with little or no human-interaction. Designing such systems poses significant challenges. In this paper we propose that the system engineer might gain significant inspiration by looking to the biological immune system, particularly by adopting a perspective on the immune system proposed by Cohen known as the Cognitive Immune Network. The goal of this paper is to show how the current literature in autonomic computing could be positively enriched by considering alternative design processes based on cognitive immune networks. After sketching out the mapping in commonalities between the Cognitive Immune Network and the autonomic computing reference model, we demonstrate how these considerations regarding the design process can be exploited with an engineered autonomic system by describing experiments with a simple robotic swarm scenario.
Keywords :
adaptive systems; artificial immune systems; cognitive systems; fault tolerant computing; autonomic computing reference model; autonomic system; biological immune system; cognitive immune networks; engineered autonomic system; heterogeneous autonomic components; human goals; self-aware adaptive systems; system engineer; Autonomic systems; Cognition; Immune system; Robot kinematics; Robot sensing systems; Artificial Immune Systems; Autonomic Computing; Awareness;
Conference_Titel :
Self-Adaptation and Self-Organizing Systems Workshops (SASOW), 2013 IEEE 7th International Conference on
Conference_Location :
Philadelphia, PA
DOI :
10.1109/SASOW.2013.17