Network Resource Management Based on Prediction Models and Autonomic Computing
MA Wei-juna · Journal of Jilin University · 2010
Aiming at the autonomic network management problem in composite functional network system,on the basis of MHBS ( Meteorological and Hydrological Business System) ,in-depth researching of device status prediction and DEN-ng policy model and the combination of above two mechanisms was done. The NAR-BP ( Nonlinear Auto Regressive-Back Propagation) prediction model was proposed and some experiments of the model were done on the basis of real measure data. The result indicated that the SSE ( Sum Squared Error) ,MSE ( Mean Square Error) and MSPE ( Mean Square Percent Error) of NAR-BP prediction model was less than existing linear AR ( Auto Regressive) model about 4 /5. Finally the management decision components was expanded based on DEN-ng policy model for the adaptability of system status prediction on application level providing an instance of policy-driven data communication management with multiple channels to show the feasibility of expansion DEN-ng policy model in autonomic network management.