Driven by the vision of cloud and edge computing as the 5th utility, a major challenge is the
efficient resource management and pricing taking into account incentives and preferences of …

In this paper, we focus on the computational offloading problem among unmanned aerial
vehicles (UAVs) acting as small flying cloudlets that receive compute-intensive tasks from …

Edge computing is a new computing paradigm, which aims at enhancing user experience by
bringing computing resources closer to where data is produced by Internet of Things (IoT) …

Nowadays, the efficiency of Machine Learning (ML) mechanisms in the Internet of Things
(IoT) prompts the researchers and developers to use these emerging technology in different …

A key use case of edge computing is computation offloading that augments the capabilities
of resource-constrained mobile devices by conserving their energy consumption and …

Latency-sensitive and bandwidth-intensive stream processing applications are dominant
traffic generators over the Internet network. A stream consists of a continuous sequence of …

One of the well-known challenges in Edge Computing is strategic placement of cloudlets.
The fundamental goals of this challenge are to minimize the deployment cost of cloudlets …

Edge computing (EC) is a promising paradigm providing a distributed computing solution for
users at the edge of the network. Preserving satisfactory quality of experience (QoE) for …

The computing landscape has significantly changed over the last three decades–loosely
coupled and geographically dispersed systems started replacing tightly coupled monolithic …

Vehicular Edge Computing (VEC) is a distributed computing paradigm that utilizes smart
vehicles (SVs) as computational cloudlets (edge nodes) by virtue of their inherent attributes …