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

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

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 im...

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Bibliographic Details
Main Authors: Eugene Burmakin, Alexander A. Fingelkurts, Andrew A. Fingelkurts
Format: Article
Language:English
Published: MDPI AG 2009-02-01
Series:Algorithms
Subjects:
self-organization
intelligent service broker
dynamic context
adaptive control
brain research
Online Access:http://www.mdpi.com/1999-4893/2/1/247/
Description
Summary: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.
ISSN:1999-4893

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