This paper addresses the growing demand for healthcare systems, particularly among the
elderly population. The need for these systems arises from the desire to enable patients and …

Outlier detection (outlier and anomaly are used interchangeably in this review) in non-
independent and identically distributed (non-IID) data refers to identifying unusual or …

To ensure reliability and service availability, next-generation networks are expected to rely
on automated anomaly detection systems powered by advanced machine learning methods …

With the rapid development of the Internet of Vehicles (IoV), Vehicular Fog Computing (VFC)
reduces communication latency by pushing computational resources from the cloud to the …

As a nascent technique, mobile edge computing (MEC) is mushrooming with a broad
application prospect. By transferring abundant computing and storage resources from cloud …

By pushing computing resources from the cloud to the network edge close to mobile users,
mobile edge computing (MEC) enables low latency for a wide variety of applications …

With the help of the Software as a Service (SaaS) delivery model, the rapid advancement of
cloud computing has become the most prevalent distributed computing paradigm. A large …

Monitoring and anomaly detection of key performance indicators (KPIs) are crucial for large
Internet companies to maintain the reliability of their Web services. Influenced by human …

In this paper, we investigate the competitive content placement problem in Mobile Edge
Caching (MEC) systems, where Edge Data Providers (EDPs) cache appropriate contents …

Over the past decades, technological advancements have included the production of a huge
number of data streams. Data streams comprise large amounts of partially sequenced …