Today's networks are filled with a massive and ever-growing variety of network functions that
coupled with proprietary devices, which leads to network ossification and difficulty in network …

Network Function Virtualization (NFV) has been emerging as an appealing solution that
transforms complex network functions from dedicated hardware implementations to software …

We consider the problem of task offloading and resource allocation in mobile edge
computing (MEC). To maintain satisfactory quality of experience (QoE) of end-users, mobile …

Vehicular edge computing (VEC) provides an effective task offloading paradigm by pushing
cloud resources to the vehicular network edges, eg, road side units (RSUs). However …

Heterogeneous cellular networks can offload the mobile traffic and reduce the deployment
costs, which have been considered to be a promising technique in the next-generation …

Mobile edge computing is a new computing paradigm, which pushes cloud computing
capabilities away from the centralized cloud to the network edge. However, with the sinking …

The explosive growth of mobile devices promotes the prosperity of novel mobile
applications, which can be realized by service offloading with the assistance of edge …

Real-time analytics on video data demands intensive computation resources and high
energy consumption. Traditional cloud-based video analytics relies on large centralized …

Although network function virtualization (NFV) is a promising approach for providing elastic
network functions, it faces several challenges in terms of adaptation to diverse network …

In this article, we propose a hybrid computing model, UAV-Edge-Cloud, bringing edge/cloud
computing and UAV swarm together to achieve high quality of service (QoS) guarantees …