In recent times, the Internet of Things (IoT) applications, including smart transportation, smart
healthcare, smart grid, smart city, etc. generate a large volume of real-time data for decision …

Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …

Fog computing has emerged as a computing paradigm for resource-restricted Internet of
things (IoT) devices to support time-sensitive and computationally intensive applications …

The fast growth of under develo** internet-based technologies has been leading to
propose promising methods to handle the heterogeneous massive volume of data produced …

Today, there exists a growing demand for Internet of Things (IoT) services in the form of
vehicle networks, smart cities, augmented reality, virtual reality, positioning systems, and so …

Due to the limitations associated with the processing capability of mobile devices in cloud
environments, various tasks are offloaded to the cloud server. This has led to an increase in …

This paper studies the problem of offloading an application consisting of dependent tasks in
multi-access edge computing (MEC). This problem is challenging because multiple …

This paper presents a novel offloading technique designed to enhance the efficiency of
Internet of Things (IoT) applications within a sophisticated three-layer architecture situated in …

Fog computing is a promising paradigm aimed at reducing latency and network traffic
between end devices and cloud servers. In fog computing systems, a fog node can be …

The number of smart wireless devices (WDs) has enormously increased over the last few
years due to the advancement of 5G/B5G networks. The advanced applications of such …