网络规制理论中的吸引集

Dmitrijs Finaskins, Eduard Brokan, F. Sadyrbaev
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引用次数: 0

摘要

现代电信网络非常复杂,它们应该能够处理流量的快速和不可预测的变化。虚拟网络拓扑用于在波分复用光网络上承载IP流量。为了以最优的方式使用网络资源,需要一种算法,该算法可以根据路由器之间的链路利用率,在特定网段的所有设备之间动态地重新共享资源。利用吸引子选择机制对虚拟网络拓扑结构进行动态控制。该算法的优点是能够适应非常快速、未知和不可预测的交通流变化。这种机制是从生物学上采用的——细胞中的基因调控网络利用它来适应未知环境的变化。考虑了基因调控网络的动力系统建模。基因之间的关系用调控矩阵W来描述,集合{−1,0,1}中的条目分别表示抑制、无关系和激活。研究了一些具体情况下的吸引集结构。值得注意的是,吸引集包含一个焦点型临界点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Attracting sets in network regulatory theory
Modern telecommunication networks are very complex and they should be able to deal with rapid and unpredictable changes in traffic flows. Virtual Network Topology is used to carry IP traffic over Wavelength-division multiplexing optical network. To use network resources in the most optimal way, there is a need for an algorithm, which will dynamically re-share resources among all devices in the particular network segment, based on links utilization between routers. Attractor selection mechanism could be used to dynamically control such Virtual Network Topology. The advantage of this algorithm is that it can adopt to very rapid, unknown and unpredictable changes in traffic flows. This mechanism was adopted from biology - gene regulatory networks in cells use it to adopt to unknown changes in the environment. The dynamical system modeling the gene regulatory network is considered. The relations between genes are described by the regulatory matrix W with the entries from the set {−1, 0, 1} meaning inhibition, no relation and activation respectively. The structure of the attracting set in some specific case is studied. It is remarkable that the attracting set contains a focus-type critical point.
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