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Using a Renormalization Group to Create Ideal Hierarchical Network Architecture with Time Scale Dependency
IEICE TRANSACTIONS on Communications
Publication Date: 2012/05/01
Online ISSN: 1745-1345
Print ISSN: 0916-8516
Type of Manuscript: INVITED PAPER (Special Section on Frontiers of Information Network Science)
large-scale and complex systems, renormalization, adiabatic approximation, local interaction, hierarchical structure,
Full Text: FreePDF
This paper employs the nature-inspired approach to investigate the ideal architecture of communication networks as large-scale and complex systems. Conventional architectures are hierarchical with respect to the functions of network operations due entirely to implementation concerns and not to any fundamental conceptual benefit. In contrast, the large-scale systems found in nature are hierarchical and demonstrate orderly behavior due to their space/time scale dependencies. In this paper, by examining the fundamental requirements inherent in controlling network operations, we clarify the hierarchical structure of network operations with respect to time scale. We also describe an attempt to build a new network architecture based on the structure. In addition, as an example of the hierarchical structure, we apply the quasi-static approach to describe user-system interaction, and we describe a hierarchy model developed on the renormalization group approach.