The detection of anomalies in cloud metrics is an important way to identify suspicious data
instances that indicate a system problem such as hardware failures, performance …

The detection of anomalies in data is a far-reaching field of research which also applies to
the field of cloud computing in several different ways: from the detection of various types of …

Anomaly detection is indispensable for achieving higher availability and reliability in the
cloud computing. The traditional autoencoder-based method only models the historical …

Cloud computing has become ubiquitous, providing convenient, on-demand access to
computing resources. However, the complexity of cloud environments makes them prone to …

Cloud computing is one of the most rapidly expanding computing concepts in the modern IT
world. Cloud computing interconnects data and applications served from multiple …

Cloud computing is now ubiquitous and provides convenient access to computing resources
on demand. Cloud environments are complex and prone to faults, which can have a …

The inherent characteristics of cloud systems often lead to anomalies, which pose
challenges for high availability, reliability, and high performance. Detecting anomalies in …

The cloud service platform is an open platform designed to provide various users with
application services. The reliability of the platform is threatened by anomalous access …

Cybersecurity attacks in Cloud data centres are increasing alongside the growth of the
Cloud services market. Existing research proposes a number of anomaly detection systems …

Cloud platforms, under the hood, consist of a complex inter-connected stack of hardware
and software components. Each of these components can fail which may lead to an outage …