Learning from the cell life-cycle: a self-adaptive paradigm

Authors:
Antinisca Di Marco;Francesco Gallo;Paola Inverardi;Rodolfo Ippoliti
Affiliations:
Dipartimento di Informatica, University of L'Aquila;Dipartimento di Informatica, University of L'Aquila;Dipartimento di Informatica, University of L'Aquila;Dipartimento di Biologia di Base ed Applicata, University of L'Aquila
Venue:
ECSA'10 Proceedings of the 4th European conference on Software architecture
Year:
2010

Citing 3
Cited 0

Ant-based distributed constrained steiner tree algorithm for jointly conserving energy and bounding delay in ad hoc multicast routing

ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Engineering Self-Adaptive Systems through Feedback Loops

Software Engineering for Self-Adaptive Systems
Myconet: A Fungi-Inspired Model for Superpeer-Based Peer-to-Peer Overlay Topologies

SASO '09 Proceedings of the 2009 Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems

Quantified Score

Hi-index	0.00

Visualization

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.