In the current network-based computing world, where the number of interconnected devices
grows exponentially, their diversity, malfunctions, and cybersecurity threats are increasing at …

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 …

A new distributed environment at less financial expenditure on communication over the
Internet is presented by cloud computing. In recent times, the increased number of users has …

Detecting and analyzing potential anomalous performances in cloud computing systems is
essential for avoiding losses to customers and ensuring the efficient operation of the …

Large-scale adoption of virtual containers has stimulated concerns by practitioners and
academics about the viability of data acquisition and reliability due to the decreasing …

In the contemporary era of cloud computing, efficient and precise prediction of CPU
utilization ensures optimal performance and energy efficiency in data centers. Traditional …

Improving upon or even just retaining energy efficiency at industrial plants presents a rising
challenge. Energy efficiency is gradually lowered due to equipment wear and operating …

Summary Self‐Monitoring, Analysis, and Reporting Technology (SMART) is a technology in
hard disk drives to predict impending disk failures for data repair in advance. As the …

Nowadays, time series data underlies countless research activities. Despite the wide range
of techniques to capture and process all this information, issues such as analyzing large …

Cloud system attracts users with the desired features, and in the meanwhile, cloud system
may experience various security issues. An effective intrusion detection system is offered by …