Study of Data Agent Memory Thought-Based on P2P Network Model

In peer-to-peer networks, The availability of data reduces severely by the node frequent offline, a lot of data transmission service can not carry out because the bandwidth resources extremely limited, there is no a administrator to manage transmission about virus document. To solve these problems, this paper puts forward a method with studying of P2P network model based on data agent memory thought. this model based on data content and evaluation within the scope of the neighborhood and subsequent node to agent memory, the local node visit and search information according to the memory optimization strategy, for a low service evaluation memory regularly updated and deleted. The model use the agent memory and data updated means, the effective method of update reduced bandwidth consumption, improve the searching efficiency, increase the system's security.