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2010
Springer

Learning from the Cell Life-Cycle: A Self-adaptive Paradigm

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Learning from the Cell Life-Cycle: A Self-adaptive Paradigm
In the software domain, self-adaptive systems are able to modify their behavior at run-time to respond to changes in the environment they run, to changes of the users' requirements or to changes occurring in the system it-self. In life science, biological cells are power entities able to adapt to the (unpredictable) situations they incur in, in a complete decentralized fashion. Learning adaptation mechanism from the cell life-cycle, we propose in this paper a new architectural paradigm for self-adaptive software systems. 1 Motivations and Background Biological systems inspire systems design in many directions [4,6,5]. Among the biological systems, cells represent a model for their ability to undergo adaptation changes as a response to environmental stimuli. Each cell is able to check its status, to duplicate (mitosis) and to kill itself (apoptosis) in case of need[1]. Stem cells are primitive cells with the singular ability to generate all other types of cells and to give rise to ...
Antinisca Di Marco, Francesco Gallo, Paola Inverar
Added 06 Dec 2010
Updated 06 Dec 2010
Type Conference
Year 2010
Where ECSA
Authors Antinisca Di Marco, Francesco Gallo, Paola Inverardi, Rodolfo Ippoliti
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