A bio-inspired adaptive routing based on enzymatic feedback control mechanism in metabolic networks

被引：0
|
作者：
Nozoe, Tadasuke [1 ]
Kawauchi, Takashi [1 ]
Okamoto, Masahiro [1 ]
机构：
[1] Kyushu Univ, Grad Sch Syst Life Sci, Fukuoka 8128581, Japan
来源：
IMECS 2007: INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II | 2007年
关键词：
adaptive routing; bio-inspired algorithm; load balancing; scale-free network;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The routing algorithm of SPF is widely distributed in the Internet. Since this routing algorithm is designed in order to improve throughput of each packet, it is not suitable for averaging load balance in the network. On the contrary, metabolic networks in the cell can realize load balance and achieve fault tolerance by using enzymatic negative feedback mechanism. By mimicking enzymatic negative feedback mechanism, in this paper, we design an adaptive routing algorithm to avoid the partial and time-variant congestions in the network. In addition, we shall propose an efficient method for the allocation of the propodd adaptive nodes in a scale-free network.
引用
收藏
页码：1361 / +
页数：2
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