Nowadays, energy costs are the most important factor in cloud computing. Therefore, the
implementation of energy-aware task scheduling methods is of utmost importance. A task …

Anomaly detection is an active research topic in many different fields such as intrusion
detection, network monitoring, system health monitoring, IoT healthcare, etc. However, many …

During the past decade, many anomaly detection approaches have been introduced in
different fields such as network monitoring, fraud detection, and intrusion detection …

Abstract Virtual Private Server (VPS) enables user access to an operating system instance
with a fine-grained control of private software and hardware resources. Many various factors …

Big data refers to diverse large data types from heterogeneous sources such as mobile
devices, the web, social media, and the internet of things. The cloud offers a wide variety of …

Job scheduling in MapReduce plays a vital role in Hadoop performance. In recent years,
many researchers have presented job scheduler algorithms to improve Hadoop …

Providing a lightweight self-adaptive approach that does not need offline training in advance
and meanwhile is able to detect anomalies in real time could be highly beneficial. Such an …

One of the key challenges in big data technology is the velocity at which the data is
processed. Hadoop, an open-source software framework, is the dominant technology to …

To solve the limitation of Hadoop on scalability, resource sharing, and application support,
the open‐source community proposes the next generation of Hadoop's compute platform …

Memes influence the behaviours, perceptions and actions of the people they spread to, both
consciously and unconsciously. The production of memes and memetic behaviours are …