Research On Payload Balance Scheduling Algorithm Of Teaching Information Resource Based On P2P

With the rapid development of computer technology and network communication technology ,the informatization and web based service of teaching resources is the possible and inevitable direction.Serer load balancing is the basic guarantee of accessing data reliably and efficiently,especially those with a higher serve load balancing teaching resources research is particuarly important.The passage summarizes the basic characteristics of the network teaching information on P2P.On the basic of time series analysis method,the server load parameter is establised and the system load time series prediction algorithm is realized on ARMA modle.In order to more accurately predict the system load status and make up for lack of time analysis,the author designs the systemative load prediction method and load balancing scheduling strategy according to combining the characteristic parameters of ARMA model and the advantages of the BP neural network classification.The autor also verifies the schedule performance of the load balancing scheduling strategy given in the passage based on the teaching resources management prototype system on P2P.The results show that the balance scheduling tactics in the passage can significantly reduce the maximum load on the server , balance the server load,effectively restrain the breakdown of system caused by the system overload.