A System Service Optimization Model Based on Martingale Difference Approximation

Under intrusion or abnormal attack, how to autonomously supply service, without being degraded, to users is the ultimate goal of network security technology. Based on Martingale Difference Approximation principle, a System Service Optimization Model (MDAO) is proposed. According to the prior self optimizing knowledge and parameter information of inner environment, MDAO searches the convergence trend of self optimizing function and executes the dynamic self optimization to minimum the optimization mode rate and maximum the service performance, implementing the autonomic increase of system service performance in the changing inner environment. The simulation results validate the efficiency and superiority of MDAO.