Data statistical approach and system of mixed P2P network

The invention discloses a data statistical approach of a mixed P2P network. The approach includes the following steps: strong nodes receive common node statistical data reported by common nodes which The invention discloses a data statistical approach of a mixed P2P network. The approach includes the following steps: strong nodes receive common node statistical data reported by common nodes whichcorrespond to the strong nodes, the common node statistical data carries common node signs, and the number of the common nodes which correspond to the strong nodes is at least one; the strong nodes prcorrespond to the strong nodes, the common node statistical data carries common node signs, and the number of the common nodes which correspond to the strong nodes is at least one; the strong nodes process common node statistical data reported by all common nodes and the strong node statistical data to obtain processed statistical data; and the strong nodes send the processed statistical data to aocess common node statistical data reported by all common nodes and the strong node statistical data to obtain processed statistical data; and the strong nodes send the processed statistical data to a statistical server. Correspondingly, the embodiment of the invention provides a data statistical system of a mixed P2P network, comprising strong node equipment, common node equipment and the statiststatistical server. Correspondingly, the embodiment of the invention provides a data statistical system of a mixed P2P network, comprising strong node equipment, common node equipment and the statistical server. Due to the adoption of the scheme provided by the embodiment of the invention, the load of the statistical server is reduced and the control and the management to the common nodes are enhical server. Due to the adoption of the scheme provided by the embodiment of the invention, the load of the statistical server is reduced and the control and the management to the common nodes are enhanced.anced.