2008 (English)In: Proceedings of IEEE/ACM International Conference on Bio-Inspired Models of Network, Information, and Computing Systems (BIONETICS'2008), ICST , 2008Conference 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 software, and ubiquitous computing. In this paper, we consider an approach to fault-tolerance which is 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 intrinsic robustness of attractors' landscapes of their gene regulatory networks. Previously, we introduced a technique which exploits the stability of attractors to achieve a fault-tolerant computation. In this paper, we evaluate this technique on the example of a gene regulatory network model of Arabidopsis thaliana and show that it can tolerate 70% single-point mutations in the outputs of the defining tables of gene functions.
Place, publisher, year, edition, pages
ICST , 2008.
Attractor, Boolean network, Fault-tolerance, Gene regulatory network
Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-87197ScopusID: 2-s2.0-84899627679ISBN: 978-963-9799-35-6OAI: oai:DiVA.org:kth-87197DiVA: diva2:501480
International Conference on Bio-Inspired Models of Network, Information, and Computing Systems (BIONETICS'2008). Awaji Island, Hyogo, Japan. Nov 25-28, 2008
QC 201205102012-02-142012-02-142015-04-21Bibliographically approved