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Self-Organization for Fault-Tolerance
KTH, School of Information and Communication Technology (ICT), Electronic, Computer and Software Systems, ECS.ORCID iD: 0000-0001-7382-9408
2008 (English)In: SELF-ORGANIZING SYSTEMS, PROCEEDINGS / [ed] Hummel KA; Sterbenz JPG, 2008, Vol. 5343, 145-156 p.Conference paper, Published paper (Refereed)
Abstract [en]

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.
Series
LECTURE NOTES IN COMPUTER SCIENCE, ISSN 0302-9743 ; 5343
Keyword [en]
REGULATORY NETWORKS, MODEL, ROBUSTNESS, DYNAMICS, GENES
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-31265ISI: 000263515100013Scopus ID: 2-s2.0-58349101770ISBN: 978-3-540-92156-1 (print)OAI: oai:DiVA.org:kth-31265DiVA: diva2:405434
Conference
3rd International Workshop on Self-Organizing Systems, Vienna, AUSTRIA, DEC 10-12, 2008
Note

QC 20110322

Available from: 2011-03-22 Created: 2011-03-11 Last updated: 2017-06-09Bibliographically approved

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Dubrova, Elena

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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  • vancouver
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More styles
Language
  • de-DE
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  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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