With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …

Massive data collection in modern systems has paved the way for data-driven machine
learning, a promising technique for creating reliable and robust statistical models. By …

Multi-access edge computing (MEC) is booming as a promising paradigm to push the
computation and communication resources from cloud to the network edge to provide …

Software containers are changing the way applications are designed and executed.
Moreover, in the last few years, we see the increasing adoption of container orchestration …

With the growing demand for openness, scalability, and granularity, mobile network function
virtualization (NFV) has emerged as a key enabler for the most of mobile network operators …

The fog computing paradigm is promising for deploying various delay-sensitive Internet of
Things (IoT) applications. The resource-constrained fog devices restrict the number of …

In next-generation networks (NGN), a very large number of devices and applications are
emerged, along with the heterogeneity of technologies, architectures, mobile data, etc., and …

With the advent of the Internet of Things (IoT) paradigm, the cloud model is unable to offer
satisfactory services for latency‐sensitive and real‐time applications due to high latency and …

Delivering high fidelity virtual reality (VR) video over mobile networks is very challenging
since VR applications usually require very high bandwidth and ultra low latency. With the …

Mobile edge computing (MEC) allows mobile devices to offload computation tasks to nearby
MEC servers for achieving low latency and energy efficiency. This paper aims at scheduling …