… ‖ computing; experimentally investigated anomaly detection module in the application Weka…
developed system anomaly detection in the protected environment of ―cloud‖ computing …

… detecting anomalous performance metrics of cloud services. Although competent in general
anomaly detection… in time series anomaly detection, which considerably hinders its practical …

… clouds, especially for newly managed or deployed systems. In this paper, we present an
Adaptive Anomaly Detection (AAD) framework for cloud … adaptive failure detection. Based on the …

… We test a prototype implementation of our cloud anomaly identification mechanism on a
cloud computing system. Experimental results show our approach can identify cloud failures …

… Our contribution is a survey that systematically reviews the stateof-the-art for anomaly
detection in the domain of cloud computing environments. For this purpose, we query three …

… causes of performance anomalies in an underlying provider-controlled cloud infrastructure.
We propose an anomaly detection and analysis framework for clustered cloud and edge …

… As a proof of concept, we implement a prototype of the autonomic anomaly detection
framework. We test our anomaly detector in an institute-wide cloud computing environment which …

… Even if it were conceived for Cloud computing, we believe the approach to be relevant for
any large-scale online services. I would like to thank Professor Raja Chiky for her guidance, …

… The flow of network that is been created by cloud computing systems shows users’ behavior
in service operation or use. Traffic analysis and the recognition of all significant application …

… for system level dependability assurance. We propose a new hybrid self-evolving anomaly
detection … in an institute wide cloud computing system show that the detection accuracy of the …