Self-Adaptive Healing for Containerized Cluster Architectures with Hidden Markov Models

Reference : Self-Adaptive Healing for Containerized Cluster Architectures with Hidden Markov Models


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	To cite this reference:	http://hdl.handle.net/10993/42063

Title :	Self-Adaptive Healing for Containerized Cluster Architectures with Hidden Markov Models
Author, co-author :	Samir, Areeg [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
	Pahl, C. [> >]
Publication date :	2019
Main document title :	The Fourth IEEE International Conference on Fog and Mobile Edge Computing
Publisher :	IEEE Computer Society
City :	Rome, Italy
Keywords :	Anomaly detection ; Anomaly identification ; Anomaly recovery ; Cloud ; Cluster ; Containers ; Fault ; HMMs ; Performance monitoring. ; Prediction
Permalink :	http://hdl.handle.net/10993/42063

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