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 selforganizing 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.