Autonomic Nature-Inspired Eco-systems (original) (raw)

Lecture Notes in Computer Science, 2012

Abstract

ABSTRACT Computing and storage powers are progressively embedded in all sort of electronic devices interconnected by ubiquitous communications. This creates pervasive and complex environments fostering the development and evolution of services eco-systems. Autonomic technologies coupled with additional bio-inspired principles can provide strong elements for facing such challenge. This paper aims at looking inside the black box of an autonomic bio-inspired eco-system. Specifically, a model of autonomic component is elaborated allowing the evolution of eco-systems enabled by means of self-awareness and self-organization. This approach goes beyond a traditional mechanistic one, where concepts derived from biology are applied to explain what happens in an eco-system: in fact, behaviour and evolution of a service eco-system are engineered by programming the components. This model has been implemented and experimentally validated within the EU project CASCADAS, so some validation results as also reported. Moreover, the paper analyses a use case concerning a decentralized server farm, being considered part of a complex eco-system.

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