Anomaly detection is a significant functionality in most cloud monitoring applications. Time-
series forecasting model could be easily used for predicting the values of the performance …

Cloud computing is one of the greatest innovations and emerging technologies of the
century. It incorporates networks, databases, operating systems, and virtualization …

A variety of faults may cause performance degradation or even downtime of virtual machines
(VMs) under Cloud environment, thus lowering the dependability of Cloud platform …

During the machine learning pipeline development, engineers need to validate the
efficiency of the machine learning methods in order to assess the quality of the made …

Predicting subsequent values of quality of service (QoS) properties is a key component of
autonomic solutions. Predictions help in the management of cloud-based applications by …

This paper proposes a novel and scalable model for automatic anomaly detection on a large
system such as a cloud. Anomaly detection issues early warning of unusual behavior in …

The potential benefits and enhancement of services have made cloud computing an
attractive field in the current era. Cloud computing has various benefits that has grabbed a …

Effectively detecting run-time performance anomalies is crucial for clouds to identify
abnormal performance behavior and forestall future incidents. To be used for real-world …

In a cloud environment, performance degradation, or even downtime, of virtual machines
(VMs) usually appears gradually along with anomalous states of VMs. To better characterize …

Network traffic analysis is one of the most important tasks in the era of on-demand Cloud
Computing. However, increased resilience on computing needs, migration flexibility, and …