Conclusions

Abstract

This chapter first summarizes the contribution of this book. Specifically, it discusses how this book has tackled the problem of how to utilize machine learning and statistical techniques to effectively assess the overall health and identify different types of anomalous behaviors in modern core router systems. This chapter then introduce four promising future research directions related to the prognostic fault tolerance of core router systems as well as other high-performance complex systems that can further utilize machine-learning and statistical techniques to lay the foundation for closing the gap between working silicon and a working system.