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

1,* email, 2email and 2email
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)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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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