… can significantly affect the cloud dependability and performance. In this paper, we present
a real-time adaptive anomaly detection technique in cloud infrastructure. We collected all the …

… new anomaly detection system for virtualized cloud data centers. We leverage unsupervised
… techniques for identifying anomalies at component1-level. Given the anomaly detected, we …

… In this section, we first describe the concept of anomalies of virtual machines in cloud
infrastructure. As our algorithms are extensions and combinations of LOF and SAX, we then give a …

… 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 …

… to the consumer is to deploy onto the cloud infrastructure consumer-created or acquired
applications created using programming languages, libraries, services, and tools supported by …

… dissect anomalous events. For Cloud computing companies and large online platforms in
general, growth is linked to the scaling potential. Automatizing the anomaly detection process …

… During our systematic research we have also identified a certain amount of related surveys
that in one way or another deal with cloud infrastructures and anomaly detection. These are …

… , we propose an adaptive anomaly detection mechanism in the cloud. It adapts its … a 362-node
cloud computing environment on campus. We compare the anomaly detection accuracy of …

… framework to facilitate real-time monitoring of cloud-sourced workflows and infrastructures. …
to mitigate cloud threatscenarios with web services and infrastructure anomaly detection, and …

… section of this paper, anomaly detection has been the subject of an active research effort in
various application domains, including in cloud services and infrastructures. One major focus …