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Organic Computing — A Paradigm Shift for Complex Systems pp 575–577Cite as

OC Techniques Applied to Solve Reliability Problems in Future 1000-Core Processors

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Part of the book series: Autonomic Systems ((ASYS,volume 1))

Abstract

This article summarises the current status of the TERAFLUX project and gives an outlook to further research.

The research leading to these results has received funding from the European Community’s Seventh Framework Programme (FP7/2007-2013) under grant agreement n○249013 (TERAFLUX).

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References

  1. Kephart, J.O., Chess, D.M.: The vision of autonomic computing. Computer 36(1), 41–50 (2003)

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  2. Richter, U., Mnif, M., Branke, J., Müller-Schloer, C., Schmeck, H.: Towards a generic observer/controller architecture for Organic Computing. In: GI Jahrestagung (1), pp. 112–119 (2006)

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  3. Satzger, B., Pietzowski, A., Trumler, W., Ungerer, T.: A lazy monitoring approach for heartbeat-style failure detectors. In: ARES, pp. 404–409 (2008)

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Augsburg, Universitätsstr. 6a, 86159, Augsburg, Germany

    Arne Garbade, Sebastian Weis, Sebastian Schlingmann & Theo Ungerer

Authors
  1. Arne Garbade
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  2. Sebastian Weis
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  3. Sebastian Schlingmann
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  4. Theo Ungerer
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Corresponding author

Correspondence to Arne Garbade .

Editor information

Editors and Affiliations

  1. , Institute for Systems Engineering, Leibniz Universität Hannover, Appelstr. 4, Hannover, 30167, Germany

    Christian Müller-Schloer

  2. , Institute AIFB, Karlsruhe Institute of Technology, Kaiserstr. 89, Karlsruhe, 76133, Germany

    Hartmut Schmeck

  3. , Department of Computer Science, Universität Augsburg, Universitätsstr. 6a, Augsburg, 86159, Germany

    Theo Ungerer

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© 2011 Springer Basel AG

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Garbade, A., Weis, S., Schlingmann, S., Ungerer, T. (2011). OC Techniques Applied to Solve Reliability Problems in Future 1000-Core Processors. In: Müller-Schloer, C., Schmeck, H., Ungerer, T. (eds) Organic Computing — A Paradigm Shift for Complex Systems. Autonomic Systems, vol 1. Springer, Basel. https://doi.org/10.1007/978-3-0348-0130-0_38

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  • DOI: https://doi.org/10.1007/978-3-0348-0130-0_38

  • Publisher Name: Springer, Basel

  • Print ISBN: 978-3-0348-0129-4

  • Online ISBN: 978-3-0348-0130-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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