Algorithms 2009, 2(1), 247-258; doi:10.3390/a2010247
Article

Self-organization of Dynamic Distributed Computational Systems Applying Principles of Integrative Activity of Brain Neuronal Assemblies

Eugene Burmakin 1,* email, Alexander A. Fingelkurts 2 email and Andrew A. Fingelkurts 2 email
1 Nokia Siemens Networks, PO Box 1, FI-02022, Espoo, Finland 2 BM-Science – Brain & Mind Technologies Research Centre, PO Box 77, FI-02601, Espoo, Finland
* Author to whom correspondence should be addressed.
Received: 28 November 2008; in revised form: 26 January 2009 / Accepted: 16 February 2009 / Published: 17 February 2009
(This article belongs to the Special Issue Neural Networks and Sensors)
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Abstract: This paper presents a method for self-organization of the distributed systems operating in a dynamic context. We propose the use of a simple biologically (cognitive neuroscience) inspired method for system configuration that allows allocating most of the computational load to off-line in order to improve the scalability property of the system. The method proposed has less computational burden at runtime than traditional system adaptation approaches.
Keywords: self-organization; intelligent service broker; dynamic context; adaptive control; brain research

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MDPI and ACS Style

Burmakin, E.; Fingelkurts, A.A.; Fingelkurts, A.A. Self-organization of Dynamic Distributed Computational Systems Applying Principles of Integrative Activity of Brain Neuronal Assemblies. Algorithms 2009, 2, 247-258.

AMA Style

Burmakin E, Fingelkurts AA, Fingelkurts AA. Self-organization of Dynamic Distributed Computational Systems Applying Principles of Integrative Activity of Brain Neuronal Assemblies. Algorithms. 2009; 2(1):247-258.

Chicago/Turabian Style

Burmakin, Eugene; Fingelkurts, Alexander A.; Fingelkurts, Andrew A. 2009. "Self-organization of Dynamic Distributed Computational Systems Applying Principles of Integrative Activity of Brain Neuronal Assemblies." Algorithms 2, no. 1: 247-258.

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