… In section II, we briefly discuss related work in anomaly detection and resolution. In section
III… to autonomic cloud. In section IV, we present a high level architecture of an autonomic cloud…

… 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 …

… However, it is challenging to effectively detect anomalies from the voluminous amount of …
In this paper, we present an autonomic mechanism for anomaly detection in compute cloud …

… for self-protection of cloud data and autonomic anomaly detection is provided in Table 6. From
… of cloud data is not well addressed in the existing literature. Though the cloud users store …

… Autonomic anomaly detection is crucial for understanding emergent, cloud-wide phenomena
and self-managing cloud … To detect anomalous cloud behaviors, we need to monitor the …

… Autonomic failure detection is a … Anomaly Detection (AAD) framework for cloud dependability
assurance. It employs data description using hypersphere for adaptive failure detection. …

… autonomic software systems is from Dehraj and Sharma [47]. It provides an insight vision of
the autonomic … -the-art for anomaly detection in the domain of cloud computing environments. …

… MAPE-K (Monitoring, Analysis, Planning, Execution, Knowledge) [5] is an autonomic
computing model consisting several connected autonomic elements, which accomplish the …

… anomalous service behaviors that may lead to … an anomaly detection system (ADS) designed
to detect errors related to the erroneous behavior of the service, and SLA violations in cloud …

… -end system for anomaly detection and … cloud, and then deeply analyzed for anomaly
detection. A deep learning-based auto-encoder(AE) algorithm is applied for the anomaly detection …