Some inherent dynamics rules are concealed in large-scale network storage system on account of the complexity of data transmission behaviors. This paper studies object-based storage system and proposes two storage cellular automata models called SNCA and OSDCA from macro and micro aspect respectively, and these models can be used to analyze behaviors and rules of complex and dynamic network storage by capturing the intelligent and initiative properties of storage object. In the model SNCA, the lifetime attribute of storage object is used to analyze the data flow rules in storage network to ascertain the congestion degree from macro aspect based on special lattice network topology architecture, and simulation results show that data object flow has global relativity with the phase transition of data flow. In the model OSDCA, data migration and replication mechanism are combined to analyze hotspot migration rule based on the load distribution condition among storage nodes, and simulation results show that data distribution in OBS system has characters of some self-organization.