Network self-organizing information exploitation model based on GCA

At present, the exploitation mode for network information has some serious drawbacks such as non-aftereffect, independence of each other and point-to-point in the massive, stochastic, parallel and distributed networks. Thus, this paper is devoted to a novel self-organizing exploitation mode for network information which is proposed in [1], and a new generalized cellular automaton (GCA) is used to discover the self-organizing information configuration, and some performance analysis was made under complex environment including metabolism, intermittent congestion and stochastic fault. The theory and experiment results have shown its advantage.