Research on Server Aging Based on Average Load Chaotic Forecast

At first, this paper identify the average load chaotic character which can be obtained by using G-P algorithm to analyze correlation dimension changing with embedding dimension, and then get the largest Lyapunov exponent through small data method, build chaotic time series prediction model based on largest Lyapunov exponent for average load time series. The experimental results show that the prediction model can precisely make short-time prediction to the Web server′s average load, which can efficiently predict the aging situation of the sever and provide foundation for the software rejuvenation.