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.

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

DI MARCO, ANTINISCA;INVERARDI, PAOLA;IPPOLITI, RODOLFO
2010

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.
978-3-642-15113-2
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11697/33796
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