Attractor selection-based virtual network topology control with dynamic threshold reconfiguration for managed self-organization network

Authors:
Shohei Kamamura;Yuki Koizumi;Daisaku Shimazaki;Takashi Miyamura;Shin'ichi Arakawa;Kohei Shiomoto;Atsushi Hiramatsu;Masayuki Murata
Affiliations:
NTT Network Service Systems Laboratories, NTT Corporation;Osaka University, Yamadaoka, Suita, Osaka, Japan;NTT Network Service Systems Laboratories, NTT Corporation;NTT Network Service Systems Laboratories, NTT Corporation;Osaka University, Yamadaoka, Suita, Osaka, Japan;NTT Service Integration Laboratories NTT Corporation, Midori-Cho Chome Musashino-Shi, Tokyo, Japan;NTT Network Service Systems Laboratories, NTT Corporation;Osaka University, Yamadaoka, Suita, Osaka, Japan
Venue:
Proceedings of the 24th International Teletraffic Congress
Year:
2012

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Abstract

In the managed self-organization network concept, multiple virtual networks are constructed on a single physical network. They are controlled with a self-organization mechanism based on attractor selection algorithm while the physical resource management server arranges resources allocation for the total resources optimization. An objective of the self-organization mechanism is to keep a high applicability to network changes; it is robust but resources utilization is not necessarily optimized. As a result, the resource management server cannot know the correct states of each virtual network. For extending the applicability of the current self-organization mechanism, this paper proposes a novel virtual network reconfiguration algorithm by dynamically feeding back to the target value of maximum link utilization for attractor selection algorithm. We also show the effectiveness through extensive simulations.