Vehicles in platoons need to process many tasks to support various real-time vehicular
applications. When a task arrives at a vehicle, the vehicle may not process the task due to its …

Fog computing becomes a promising technology to process user's requests near the
proximity of users to reduce response time for latency-sensitive requests. Despite its …

Emerging compute-intensive and latency-sensitive vehicular applications are expected to be
deployed at the edge instead of the cloud to shorten the network latency. Mobile fog nodes …

Fog computing is a paradigm that offers distributed and diverse resources at the network
edge to fulfill the quality of service requirements. However, effectively managing these …

Sažetak In the fifth-generation (5G) cellular network, the Mobile Network Operator (MNO),
and the Mobile Edge Computing (MEC) platform will play an important role in providing …

This paper provides an overview of distributed task offloading approaches in fog computing
using bandit learning. Task offloading is a pivotal technique that allows mobile devices to …

Mobile Edge Computing (MEC) is considered as a promising solution to augment the
computational capabilities of mobile devices. Because of frequently changing locations …

The emergence of 5G technology and edge computing enables the collaborative use of data
by mobile users for scalable training of machine learning models. Privacy concerns and …

Fog computing is a decentralized computing infrastructure that extends the capabilities of
cloud computing closer to the edge of the network. In a fog computing network (FCN) …

Edge/fog computing is a key enabling technology in 5G and beyond for fulfilling the tight
latency requirements of emerging vehicle applications, such as cooperative and …