Self-Organization for Fault-Tolerance
2008 (English)In: SELF-ORGANIZING SYSTEMS, PROCEEDINGS / [ed] Hummel KA; Sterbenz JPG, 2008, Vol. 5343, 145-156 p.Conference paper (Refereed)
In the last decade, there has been a considerable increase of interest in fault-tolerant computing due to dependability problems related to process scaling, embedded systems, and ubiquitous Computing, In this paper, we present an approach to fault-tolerance inspired by gene regulatory networks of living cells. Living cells are capable of maintaining their functionality under a variety of genetic changes and external perturbations. They have natural self-healing, self-maintaining, self-replicating, and self-assembling mechanisms. The fault-tolerance of living cells is due to the ability of their gene regulatory network to self-organize and produce a stable attractors' landscape. We introduce a computational scheme which exploits the intrinsic stability of attractors to achieve fault.-tolerant computation. We also test fault-tolerance of the presented scheme on the example of a gene regulatory network model of Arabidopsis thaliana and show that it can tolerate 68% single-point mutations in the outputs of the defining tables of gene functions.
Place, publisher, year, edition, pages
2008. Vol. 5343, 145-156 p.
, LECTURE NOTES IN COMPUTER SCIENCE, ISSN 0302-9743 ; 5343
REGULATORY NETWORKS, MODEL, ROBUSTNESS, DYNAMICS, GENES
IdentifiersURN: urn:nbn:se:kth:diva-31265DOI: 10.1007/978-3-540-92157-8-13ISI: 000263515100013ScopusID: 2-s2.0-58349101770ISBN: 978-3-540-92156-1OAI: oai:DiVA.org:kth-31265DiVA: diva2:405434
3rd International Workshop on Self-Organizing Systems, Vienna, AUSTRIA, DEC 10-12, 2008
QC 201103222011-03-222011-03-112011-03-22Bibliographically approved