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Biologically Inspired Near Extinct System Reconstruction

Bibas, A., Spanoudakis, G., Bellos, C. , Fotiadis, D. I. & Koutsouris, D. (2013). Biologically Inspired Near Extinct System Reconstruction. In: 2013 IEEE 13th International Conference on Bioinformatics and Bioengineering (BIBE). 13th IEEE International Conference on BioInformatics and BioEngineering (BIBE 2013), 10-13 Nov 2013, Chania, GREECE. doi: 10.1109/BIBE.2013.6701644


Recovery software system operations from a state of extensive damage without human intervention is a challenging problem as it may need to be based on a different infrastructure from the one that the system was originally designed for and deployed on (i.e., computational and communication devices) and significant reorganization of system functionalities. In this paper, we introduce a bio-inspired approach for reconstructing nearly extinct complex software systems. Our approach is based on encoding a computational DNA (co-DNA) of a system and computational analogues of biological processes to enable the transmission of co-DNA over computational devices and, through it, the transformation of these devices into system cells that can realise chunks of the system functionality, and spread further its reconstruction process.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publisher Keywords: Science & Technology, Technology, Life Sciences & Biomedicine, Engineering, Biomedical, Medical Informatics, Engineering, TISSUE-REPAIR, STEM-CELLS, REGENERATION
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Science & Technology > Computer Science
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