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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Communication dans un congrès
Proc. of the 4th European Conference on Software Architecture (ECSA2010), 2010, Copenaghen, Denmark. 2010
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https://hal.inria.fr/inria-00512415
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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. 2010. 〈inria-00512415〉

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