An Improved Algorithm for Network Survivability Based on Autonomous Configuration
Guosheng Zhao, Huiqiang Wang · Journal of Wuhan University · 2006
Through comparing the relationship between current response time of key service request and confidence interval of its history average response time,this paper presented an autonomous configuration algorithm for improving network survivability(abbreviated as NSAC) based on central limit theorem and hypothesis testing theory.According to different durations in the process of key services execution,the algorithm dynamically dealt with two instances for taking the timely policies such as resource reconfiguration,service degradation or service roaming,etc.As a result,key services could be accomplished farthest within its deadline expected by users.Moreover,the whole configuration process is transparent for users.Simulation experiments show that the proposed method can improve the survivability of key service effectively under the circumstance of the network light load and overload.