In order to meet stringent performance requirements, system administrators must effectively
detect undesirable performance behaviours, identify potential root causes, and take …

Abrupt development of resources and rising expenses of infrastructure are leading
institutions to take on cloud computing. Albeit, the cloud environment is vulnerable to various …

Anomaly detection is a critical task for maintaining the performance of a cloud system. Using
data-driven methods to address this issue is the mainstream in recent years. However, due …

Since time series are characterized by a substantial volume of data, high levels of noise and
the correlation between data in the time series attributes, it becomes challenging to mine …

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 …

Late detection and manual resolutions of performance anomalies in Cloud Computing and
Big Data systems may lead to performance violations and financial penalties. Motivated by …

Gap between the new attack appearance and signature creation for this attack may be
critical. During this time, many computer systems may be affected and valuable resources …

Virtual machines (VM) offer simple and practical mechanisms to address many of the
manageability problems of leveraging heterogeneous computing resources. VM live …

Anomaly detection in multivariate time series has emerged as a crucial challenge in time
series research, with significant research implications in various fields such as fraud …

In industry, sensor‐based monitoring of equipment or environment has become a necessity.
Instead of using a single sensor, multi‐sensor system is used to fully detect abnormalities in …