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Learning from the Cell Life-cycle: a Self-Adaptive Paradigm

Abstract : 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.
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Submitted on : Thursday, November 18, 2010 - 12:49:34 PM
Last modification on : Thursday, January 6, 2022 - 5:30:02 PM
Long-term archiving on: : Saturday, February 19, 2011 - 2:27:31 AM


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  • HAL Id : inria-00512415, version 1



Antinisca Di Marco, Gallo Francesco, Inverardi Paola, Rodolfo Ippoliti. Learning from the Cell Life-cycle: a Self-Adaptive Paradigm. Proc. of the 4th European Conference on Software Architecture (ECSA2010), 2010, Copenaghen, Denmark. ⟨inria-00512415⟩



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