Patent ID: 8280705

Claim:
A method for predicting a residual online time of a peer in a peer-to-peer (P2P) network, the method comprising: obtaining, by a peer node in the P2P network, M history life cycle sampling data S i of the peer node, wherein i=1 to M and the history life cycle sampling data comprises a history starting online time point and a history online time of the peer node; determining, by the peer node in the P2P network, Gaussian components n in a multidimensional Gaussian Mixture Model to be established, wherein n is a positive integer greater than or equal to 2, and the multidimensional Gaussian Mixture Model denotes a probability distribution of the residual online time of the peer node; utilizing, by the peer node in the P2P network, S i and n to establish a multidimensional Gaussian Mixture Model; and predicting, by the peer node in the P2P network, the residual online time of the peer node by utilizing the multidimensional Gaussian Mixture Model.