Titlebook: Anomaly-Detection and Health-Analysis Techniques for Core Router Systems; Shi Jin,Zhaobo Zhang,Xinli Gu Book 2020 Springer Nature Switzerl

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Introduction,s is then described, including both hardware and software advancement. A wide range of faults in routers are also discussed to show why they are becoming more difficult to detect, diagnose and repair in time. Next, we discuss various prior work on anomaly detection, including their advantages and di

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Conclusions,e 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

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Book 2020ocol (IP) networks. The techniques described provide the first comprehensive set of data-driven resiliency solutions for core router systems. The authors present an anomaly detector for core router systems using correlation-based time series analysis, which monitors a set of features of a complex co

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Lecture Notes in Computer Sciencewell 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.

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