2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops 2008
DOI: 10.1109/sasow.2008.55
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A New Paradigm for SpeckNets: Inspiration from Fungal Colonies

Abstract: In this position paper, we propose the development of a new biologically inspired paradigm based on fungal colonies, for the application to pervasive adaptive systems. Fungal colonies have a number of properties that make them an excellent candidate for inspiration for engineered systems. Here we propose the application of such inspiration to a speckled computing platform. We argue that properties from fungal colonies map well to properties and requirements for controlling SpeckNets and suggest that an existin… Show more

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Cited by 1 publication
(3 citation statements)
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“…At the PerAda Summer School workshop in Rimini, Paechter et al recently proposed a novel biologically-inspired model based on the behavior of fungal colonies. [1] Their initial work applies a relatively low-level fungal model to routing in a small telecommunications network [2]. Our approach is more loosely inspired by fungal models and applies the metaphor at a higher level.…”
Section: Lessons Learnedmentioning
confidence: 99%
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“…At the PerAda Summer School workshop in Rimini, Paechter et al recently proposed a novel biologically-inspired model based on the behavior of fungal colonies. [1] Their initial work applies a relatively low-level fungal model to routing in a small telecommunications network [2]. Our approach is more loosely inspired by fungal models and applies the metaphor at a higher level.…”
Section: Lessons Learnedmentioning
confidence: 99%
“…The inspiration for this work came from the root structures of fungi, mycelia, and the realization that these systems display self-organizing properties and can be used as a guiding metaphor for improving overlay networks in peer-to-peer systems. Fungi-inspired models have been previously proposed as a paradigm for pervasive adaptive systems [1], [2].…”
Section: Introductionmentioning
confidence: 99%
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