Computing the reliability of complex systems

Summary form only given. Reliability computing, which consists of modeling and predicting, has become of great interest in recent years due to spacious arrays of complex systems and applications in our everyday safety, security and economic welfare. Modeling is hard but predicting is much harder due to the uncertainties of the system´s operating environments and human will when it come to the know-how of to use the analysis of complex data and modeling results in order to make effective decisions. This talk discusses some recent reliability computing and approaches that focus on the modeling of complex systems, both hardware and software, subject to the uncertainties of operating environments and big data security. Reliability computing results and model selections based on various criteria are also discussed. An application of camera security systems is also discussed.